Upload mixed_all_v5_300k_noreach/checkpoint-4000
Browse files- .gitattributes +1 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/added_tokens.json +24 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/chat_template.json +3 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/config.json +65 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/generation_config.json +12 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/merges.txt +0 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/model-00001-of-00004.safetensors +3 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/model-00002-of-00004.safetensors +3 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/model-00003-of-00004.safetensors +3 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/model-00004-of-00004.safetensors +3 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/model.safetensors.index.json +736 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/preprocessor_config.json +36 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/special_tokens_map.json +31 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/tokenizer.json +3 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/tokenizer_config.json +210 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/trainer_state.json +2834 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/training_args.bin +3 -0
- mixed_all_v5_300k_noreach/checkpoint-4000/vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -253,3 +253,4 @@ mixed_all_v5_300k_nomaze2d/checkpoint-4000/tokenizer.json filter=lfs diff=lfs me
|
|
| 253 |
mixed_all_v5_300k_nopatch/checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 254 |
mixed_all_v5_300k_noreach/checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 255 |
mixed_all_v5_300k_noreach/checkpoint-3500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 253 |
mixed_all_v5_300k_nopatch/checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 254 |
mixed_all_v5_300k_noreach/checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 255 |
mixed_all_v5_300k_noreach/checkpoint-3500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 256 |
+
mixed_all_v5_300k_noreach/checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
mixed_all_v5_300k_noreach/checkpoint-4000/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
| 3 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2_5_VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"image_token_id": 151655,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 18944,
|
| 13 |
+
"max_position_embeddings": 128000,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "qwen2_5_vl",
|
| 16 |
+
"num_attention_heads": 28,
|
| 17 |
+
"num_hidden_layers": 28,
|
| 18 |
+
"num_key_value_heads": 4,
|
| 19 |
+
"rms_norm_eps": 1e-06,
|
| 20 |
+
"rope_scaling": {
|
| 21 |
+
"mrope_section": [
|
| 22 |
+
16,
|
| 23 |
+
24,
|
| 24 |
+
24
|
| 25 |
+
],
|
| 26 |
+
"rope_type": "default",
|
| 27 |
+
"type": "default"
|
| 28 |
+
},
|
| 29 |
+
"rope_theta": 1000000.0,
|
| 30 |
+
"sliding_window": 32768,
|
| 31 |
+
"tie_word_embeddings": false,
|
| 32 |
+
"torch_dtype": "bfloat16",
|
| 33 |
+
"transformers_version": "4.51.1",
|
| 34 |
+
"use_cache": false,
|
| 35 |
+
"use_sliding_window": false,
|
| 36 |
+
"video_token_id": 151656,
|
| 37 |
+
"vision_config": {
|
| 38 |
+
"depth": 32,
|
| 39 |
+
"fullatt_block_indexes": [
|
| 40 |
+
7,
|
| 41 |
+
15,
|
| 42 |
+
23,
|
| 43 |
+
31
|
| 44 |
+
],
|
| 45 |
+
"hidden_act": "silu",
|
| 46 |
+
"hidden_size": 1280,
|
| 47 |
+
"in_channels": 3,
|
| 48 |
+
"in_chans": 3,
|
| 49 |
+
"intermediate_size": 3420,
|
| 50 |
+
"model_type": "qwen2_5_vl",
|
| 51 |
+
"num_heads": 16,
|
| 52 |
+
"out_hidden_size": 3584,
|
| 53 |
+
"patch_size": 14,
|
| 54 |
+
"spatial_merge_size": 2,
|
| 55 |
+
"spatial_patch_size": 14,
|
| 56 |
+
"temporal_patch_size": 2,
|
| 57 |
+
"tokens_per_second": 2,
|
| 58 |
+
"torch_dtype": "bfloat16",
|
| 59 |
+
"window_size": 112
|
| 60 |
+
},
|
| 61 |
+
"vision_end_token_id": 151653,
|
| 62 |
+
"vision_start_token_id": 151652,
|
| 63 |
+
"vision_token_id": 151654,
|
| 64 |
+
"vocab_size": 152064
|
| 65 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.05,
|
| 10 |
+
"temperature": 1e-06,
|
| 11 |
+
"transformers_version": "4.51.1"
|
| 12 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
mixed_all_v5_300k_noreach/checkpoint-4000/model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4e78abf02e86df7fba5789fcd26be9edcc9d3527c0996ff5119c7c043943f6b5
|
| 3 |
+
size 4968243304
|
mixed_all_v5_300k_noreach/checkpoint-4000/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bcf99af22804759f211a2407a85091e9bec5f181fc32f2fd55f9fa0aeddce9fd
|
| 3 |
+
size 4991495816
|
mixed_all_v5_300k_noreach/checkpoint-4000/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a62eb07b0a5ff4a9badd0f746f4aaadb38d58d90dba8e7d19f8ac5a5be8cd9f2
|
| 3 |
+
size 4932751040
|
mixed_all_v5_300k_noreach/checkpoint-4000/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c7677d7adaded6b9aa1c0fc61a225c93217d59c6f50a25b0ceef7d44b2f6e21
|
| 3 |
+
size 1691924384
|
mixed_all_v5_300k_noreach/checkpoint-4000/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,736 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 16584333312
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 92 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 104 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 116 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 128 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 140 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 164 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 224 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 248 |
+
"model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
| 260 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 265 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 272 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 273 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 274 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 275 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 276 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 277 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 278 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 279 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 280 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 281 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 282 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 283 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 284 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 285 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 287 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 288 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 290 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 291 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 292 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 293 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 294 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 295 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 296 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 297 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 308 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 320 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 321 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 322 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 323 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 324 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 325 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 326 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 332 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 333 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 334 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 335 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 336 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 337 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 338 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 339 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 340 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 341 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 342 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 343 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 344 |
+
"model.norm.weight": "model-00004-of-00004.safetensors",
|
| 345 |
+
"visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 346 |
+
"visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 347 |
+
"visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 348 |
+
"visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 349 |
+
"visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 350 |
+
"visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 351 |
+
"visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 352 |
+
"visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 353 |
+
"visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 354 |
+
"visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 355 |
+
"visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
|
| 356 |
+
"visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
|
| 357 |
+
"visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 358 |
+
"visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 359 |
+
"visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 360 |
+
"visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 361 |
+
"visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 362 |
+
"visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 363 |
+
"visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 364 |
+
"visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 365 |
+
"visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 366 |
+
"visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 367 |
+
"visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
|
| 368 |
+
"visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
|
| 369 |
+
"visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 370 |
+
"visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 371 |
+
"visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 372 |
+
"visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 373 |
+
"visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 374 |
+
"visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 375 |
+
"visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 376 |
+
"visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 377 |
+
"visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 378 |
+
"visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 379 |
+
"visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
|
| 380 |
+
"visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
|
| 381 |
+
"visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 382 |
+
"visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 383 |
+
"visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 384 |
+
"visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 385 |
+
"visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 386 |
+
"visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 387 |
+
"visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 388 |
+
"visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 389 |
+
"visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 390 |
+
"visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 391 |
+
"visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
|
| 392 |
+
"visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
|
| 393 |
+
"visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 394 |
+
"visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 395 |
+
"visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 396 |
+
"visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 397 |
+
"visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 398 |
+
"visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 399 |
+
"visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 400 |
+
"visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 401 |
+
"visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 402 |
+
"visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 403 |
+
"visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
|
| 404 |
+
"visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
|
| 405 |
+
"visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 406 |
+
"visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 407 |
+
"visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 408 |
+
"visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 409 |
+
"visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 410 |
+
"visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 411 |
+
"visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 412 |
+
"visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 413 |
+
"visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 414 |
+
"visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 415 |
+
"visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
|
| 416 |
+
"visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
|
| 417 |
+
"visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 418 |
+
"visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 419 |
+
"visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 420 |
+
"visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 421 |
+
"visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 422 |
+
"visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 423 |
+
"visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 424 |
+
"visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 425 |
+
"visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 426 |
+
"visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 427 |
+
"visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
|
| 428 |
+
"visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
|
| 429 |
+
"visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 430 |
+
"visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 431 |
+
"visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 432 |
+
"visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 433 |
+
"visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 434 |
+
"visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 435 |
+
"visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 436 |
+
"visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 437 |
+
"visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 438 |
+
"visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 439 |
+
"visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
|
| 440 |
+
"visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
|
| 441 |
+
"visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 442 |
+
"visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 443 |
+
"visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 444 |
+
"visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 445 |
+
"visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 446 |
+
"visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 447 |
+
"visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 448 |
+
"visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 449 |
+
"visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 450 |
+
"visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 451 |
+
"visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
|
| 452 |
+
"visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
|
| 453 |
+
"visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 454 |
+
"visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 455 |
+
"visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 456 |
+
"visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 457 |
+
"visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 458 |
+
"visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 459 |
+
"visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 460 |
+
"visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 461 |
+
"visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 462 |
+
"visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 463 |
+
"visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
|
| 464 |
+
"visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
|
| 465 |
+
"visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 466 |
+
"visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 467 |
+
"visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 468 |
+
"visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 469 |
+
"visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 470 |
+
"visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 471 |
+
"visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 472 |
+
"visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 473 |
+
"visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 474 |
+
"visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 475 |
+
"visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
|
| 476 |
+
"visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
|
| 477 |
+
"visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 478 |
+
"visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 479 |
+
"visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 480 |
+
"visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 481 |
+
"visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 482 |
+
"visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 483 |
+
"visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 484 |
+
"visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 485 |
+
"visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 486 |
+
"visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 487 |
+
"visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
|
| 488 |
+
"visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
|
| 489 |
+
"visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 490 |
+
"visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 491 |
+
"visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 492 |
+
"visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 493 |
+
"visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 494 |
+
"visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 495 |
+
"visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 496 |
+
"visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 497 |
+
"visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 498 |
+
"visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 499 |
+
"visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
|
| 500 |
+
"visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
|
| 501 |
+
"visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 502 |
+
"visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 503 |
+
"visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 504 |
+
"visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 505 |
+
"visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 506 |
+
"visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 507 |
+
"visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 508 |
+
"visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 509 |
+
"visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 510 |
+
"visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 511 |
+
"visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
|
| 512 |
+
"visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
|
| 513 |
+
"visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 514 |
+
"visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 515 |
+
"visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 516 |
+
"visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 517 |
+
"visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 518 |
+
"visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 519 |
+
"visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 520 |
+
"visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 521 |
+
"visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 522 |
+
"visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 523 |
+
"visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
|
| 524 |
+
"visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
|
| 525 |
+
"visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 526 |
+
"visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 527 |
+
"visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 528 |
+
"visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 529 |
+
"visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 530 |
+
"visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 531 |
+
"visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 532 |
+
"visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 533 |
+
"visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 534 |
+
"visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 535 |
+
"visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
|
| 536 |
+
"visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
|
| 537 |
+
"visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 538 |
+
"visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 539 |
+
"visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 540 |
+
"visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 541 |
+
"visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 542 |
+
"visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 543 |
+
"visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 544 |
+
"visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 545 |
+
"visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 546 |
+
"visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 547 |
+
"visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
|
| 548 |
+
"visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
|
| 549 |
+
"visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 550 |
+
"visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 551 |
+
"visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 552 |
+
"visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 553 |
+
"visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 554 |
+
"visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 555 |
+
"visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 556 |
+
"visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 557 |
+
"visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 558 |
+
"visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 559 |
+
"visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
|
| 560 |
+
"visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
|
| 561 |
+
"visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 562 |
+
"visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 563 |
+
"visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 564 |
+
"visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 565 |
+
"visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 566 |
+
"visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 567 |
+
"visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 568 |
+
"visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 569 |
+
"visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 570 |
+
"visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 571 |
+
"visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
|
| 572 |
+
"visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
|
| 573 |
+
"visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 574 |
+
"visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 575 |
+
"visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 576 |
+
"visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 577 |
+
"visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 578 |
+
"visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 579 |
+
"visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 580 |
+
"visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 581 |
+
"visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 582 |
+
"visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 583 |
+
"visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
|
| 584 |
+
"visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
|
| 585 |
+
"visual.blocks.27.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 586 |
+
"visual.blocks.27.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 587 |
+
"visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 588 |
+
"visual.blocks.27.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 589 |
+
"visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 590 |
+
"visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 591 |
+
"visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 592 |
+
"visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 593 |
+
"visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 594 |
+
"visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 595 |
+
"visual.blocks.27.norm1.weight": "model-00001-of-00004.safetensors",
|
| 596 |
+
"visual.blocks.27.norm2.weight": "model-00001-of-00004.safetensors",
|
| 597 |
+
"visual.blocks.28.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 598 |
+
"visual.blocks.28.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 599 |
+
"visual.blocks.28.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 600 |
+
"visual.blocks.28.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 601 |
+
"visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 602 |
+
"visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 603 |
+
"visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 604 |
+
"visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 605 |
+
"visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 606 |
+
"visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 607 |
+
"visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
|
| 608 |
+
"visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
|
| 609 |
+
"visual.blocks.29.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 610 |
+
"visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 611 |
+
"visual.blocks.29.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 612 |
+
"visual.blocks.29.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 613 |
+
"visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 614 |
+
"visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 615 |
+
"visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 616 |
+
"visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 617 |
+
"visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 618 |
+
"visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 619 |
+
"visual.blocks.29.norm1.weight": "model-00001-of-00004.safetensors",
|
| 620 |
+
"visual.blocks.29.norm2.weight": "model-00001-of-00004.safetensors",
|
| 621 |
+
"visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 622 |
+
"visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 623 |
+
"visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 624 |
+
"visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 625 |
+
"visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 626 |
+
"visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 627 |
+
"visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 628 |
+
"visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 629 |
+
"visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 630 |
+
"visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 631 |
+
"visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
|
| 632 |
+
"visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
|
| 633 |
+
"visual.blocks.30.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 634 |
+
"visual.blocks.30.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 635 |
+
"visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 636 |
+
"visual.blocks.30.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 637 |
+
"visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 638 |
+
"visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 639 |
+
"visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 640 |
+
"visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 641 |
+
"visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 642 |
+
"visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 643 |
+
"visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
|
| 644 |
+
"visual.blocks.30.norm2.weight": "model-00001-of-00004.safetensors",
|
| 645 |
+
"visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 646 |
+
"visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 647 |
+
"visual.blocks.31.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 648 |
+
"visual.blocks.31.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 649 |
+
"visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 650 |
+
"visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 651 |
+
"visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 652 |
+
"visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 653 |
+
"visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 654 |
+
"visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 655 |
+
"visual.blocks.31.norm1.weight": "model-00001-of-00004.safetensors",
|
| 656 |
+
"visual.blocks.31.norm2.weight": "model-00001-of-00004.safetensors",
|
| 657 |
+
"visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 658 |
+
"visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 659 |
+
"visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 660 |
+
"visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 661 |
+
"visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 662 |
+
"visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 663 |
+
"visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 664 |
+
"visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 665 |
+
"visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 666 |
+
"visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 667 |
+
"visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
|
| 668 |
+
"visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
|
| 669 |
+
"visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 670 |
+
"visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 671 |
+
"visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 672 |
+
"visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 673 |
+
"visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 674 |
+
"visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 675 |
+
"visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 676 |
+
"visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 677 |
+
"visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 678 |
+
"visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 679 |
+
"visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
|
| 680 |
+
"visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
|
| 681 |
+
"visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 682 |
+
"visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 683 |
+
"visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 684 |
+
"visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 685 |
+
"visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 686 |
+
"visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 687 |
+
"visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 688 |
+
"visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 689 |
+
"visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 690 |
+
"visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 691 |
+
"visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
|
| 692 |
+
"visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
|
| 693 |
+
"visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 694 |
+
"visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 695 |
+
"visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 696 |
+
"visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 697 |
+
"visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 698 |
+
"visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 699 |
+
"visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 700 |
+
"visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 701 |
+
"visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 702 |
+
"visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 703 |
+
"visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
|
| 704 |
+
"visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
|
| 705 |
+
"visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 706 |
+
"visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 707 |
+
"visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 708 |
+
"visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 709 |
+
"visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 710 |
+
"visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 711 |
+
"visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 712 |
+
"visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 713 |
+
"visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 714 |
+
"visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 715 |
+
"visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
|
| 716 |
+
"visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
|
| 717 |
+
"visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 718 |
+
"visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 719 |
+
"visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 720 |
+
"visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 721 |
+
"visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 722 |
+
"visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 723 |
+
"visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 724 |
+
"visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 725 |
+
"visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 726 |
+
"visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 727 |
+
"visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
|
| 728 |
+
"visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
|
| 729 |
+
"visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
|
| 730 |
+
"visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
|
| 731 |
+
"visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
|
| 732 |
+
"visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
|
| 733 |
+
"visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
|
| 734 |
+
"visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
|
| 735 |
+
}
|
| 736 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/preprocessor_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"do_center_crop": null,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_rescale": true,
|
| 10 |
+
"do_resize": true,
|
| 11 |
+
"image_mean": [
|
| 12 |
+
0.48145466,
|
| 13 |
+
0.4578275,
|
| 14 |
+
0.40821073
|
| 15 |
+
],
|
| 16 |
+
"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 17 |
+
"image_std": [
|
| 18 |
+
0.26862954,
|
| 19 |
+
0.26130258,
|
| 20 |
+
0.27577711
|
| 21 |
+
],
|
| 22 |
+
"input_data_format": null,
|
| 23 |
+
"max_pixels": 12845056,
|
| 24 |
+
"merge_size": 2,
|
| 25 |
+
"min_pixels": 3136,
|
| 26 |
+
"patch_size": 14,
|
| 27 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 28 |
+
"resample": 3,
|
| 29 |
+
"rescale_factor": 0.00392156862745098,
|
| 30 |
+
"return_tensors": null,
|
| 31 |
+
"size": {
|
| 32 |
+
"longest_edge": 12845056,
|
| 33 |
+
"shortest_edge": 3136
|
| 34 |
+
},
|
| 35 |
+
"temporal_patch_size": 2
|
| 36 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
mixed_all_v5_300k_noreach/checkpoint-4000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 131072,
|
| 204 |
+
"pad_token": "<|endoftext|>",
|
| 205 |
+
"padding_side": "right",
|
| 206 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 207 |
+
"split_special_tokens": false,
|
| 208 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 209 |
+
"unk_token": null
|
| 210 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/trainer_state.json
ADDED
|
@@ -0,0 +1,2834 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.8888888888888888,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 4000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0022222222222222222,
|
| 14 |
+
"grad_norm": 11.935153007507324,
|
| 15 |
+
"learning_rate": 2.0000000000000002e-07,
|
| 16 |
+
"loss": 0.5719,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0044444444444444444,
|
| 21 |
+
"grad_norm": 11.1741943359375,
|
| 22 |
+
"learning_rate": 4.2222222222222226e-07,
|
| 23 |
+
"loss": 0.5678,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.006666666666666667,
|
| 28 |
+
"grad_norm": 2.459104299545288,
|
| 29 |
+
"learning_rate": 6.444444444444445e-07,
|
| 30 |
+
"loss": 0.4443,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.008888888888888889,
|
| 35 |
+
"grad_norm": 1.632906198501587,
|
| 36 |
+
"learning_rate": 8.666666666666668e-07,
|
| 37 |
+
"loss": 0.3524,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.011111111111111112,
|
| 42 |
+
"grad_norm": 5.870563507080078,
|
| 43 |
+
"learning_rate": 1.0888888888888889e-06,
|
| 44 |
+
"loss": 0.3536,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.013333333333333334,
|
| 49 |
+
"grad_norm": 1.5167757272720337,
|
| 50 |
+
"learning_rate": 1.3111111111111112e-06,
|
| 51 |
+
"loss": 0.3007,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.015555555555555555,
|
| 56 |
+
"grad_norm": 1.3979564905166626,
|
| 57 |
+
"learning_rate": 1.5333333333333334e-06,
|
| 58 |
+
"loss": 0.3075,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.017777777777777778,
|
| 63 |
+
"grad_norm": 1.7612028121948242,
|
| 64 |
+
"learning_rate": 1.7555555555555556e-06,
|
| 65 |
+
"loss": 0.2994,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.02,
|
| 70 |
+
"grad_norm": 1.5764000415802002,
|
| 71 |
+
"learning_rate": 1.977777777777778e-06,
|
| 72 |
+
"loss": 0.2645,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.022222222222222223,
|
| 77 |
+
"grad_norm": 3.539851665496826,
|
| 78 |
+
"learning_rate": 2.2e-06,
|
| 79 |
+
"loss": 0.3009,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.024444444444444446,
|
| 84 |
+
"grad_norm": 1.9442254304885864,
|
| 85 |
+
"learning_rate": 2.4222222222222223e-06,
|
| 86 |
+
"loss": 0.2946,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.02666666666666667,
|
| 91 |
+
"grad_norm": 1.135090947151184,
|
| 92 |
+
"learning_rate": 2.6444444444444444e-06,
|
| 93 |
+
"loss": 0.2554,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.028888888888888888,
|
| 98 |
+
"grad_norm": 1.8086374998092651,
|
| 99 |
+
"learning_rate": 2.866666666666667e-06,
|
| 100 |
+
"loss": 0.2708,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.03111111111111111,
|
| 105 |
+
"grad_norm": 1.5638153553009033,
|
| 106 |
+
"learning_rate": 3.088888888888889e-06,
|
| 107 |
+
"loss": 0.2743,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.03333333333333333,
|
| 112 |
+
"grad_norm": 1.862868070602417,
|
| 113 |
+
"learning_rate": 3.3111111111111118e-06,
|
| 114 |
+
"loss": 0.2741,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.035555555555555556,
|
| 119 |
+
"grad_norm": 1.2769384384155273,
|
| 120 |
+
"learning_rate": 3.5333333333333335e-06,
|
| 121 |
+
"loss": 0.2371,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.03777777777777778,
|
| 126 |
+
"grad_norm": 1.0571855306625366,
|
| 127 |
+
"learning_rate": 3.7555555555555557e-06,
|
| 128 |
+
"loss": 0.2728,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.04,
|
| 133 |
+
"grad_norm": 2.4909420013427734,
|
| 134 |
+
"learning_rate": 3.977777777777778e-06,
|
| 135 |
+
"loss": 0.2826,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.042222222222222223,
|
| 140 |
+
"grad_norm": 1.4698913097381592,
|
| 141 |
+
"learning_rate": 4.2000000000000004e-06,
|
| 142 |
+
"loss": 0.2817,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.044444444444444446,
|
| 147 |
+
"grad_norm": 1.0643539428710938,
|
| 148 |
+
"learning_rate": 4.422222222222223e-06,
|
| 149 |
+
"loss": 0.2701,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.04666666666666667,
|
| 154 |
+
"grad_norm": 1.7701481580734253,
|
| 155 |
+
"learning_rate": 4.644444444444445e-06,
|
| 156 |
+
"loss": 0.2493,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.04888888888888889,
|
| 161 |
+
"grad_norm": 1.0646620988845825,
|
| 162 |
+
"learning_rate": 4.866666666666667e-06,
|
| 163 |
+
"loss": 0.2732,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.051111111111111114,
|
| 168 |
+
"grad_norm": 1.2875831127166748,
|
| 169 |
+
"learning_rate": 5.088888888888889e-06,
|
| 170 |
+
"loss": 0.2606,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.05333333333333334,
|
| 175 |
+
"grad_norm": 1.1123046875,
|
| 176 |
+
"learning_rate": 5.311111111111111e-06,
|
| 177 |
+
"loss": 0.2704,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.05555555555555555,
|
| 182 |
+
"grad_norm": 1.150532603263855,
|
| 183 |
+
"learning_rate": 5.533333333333334e-06,
|
| 184 |
+
"loss": 0.2525,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.057777777777777775,
|
| 189 |
+
"grad_norm": 1.363961935043335,
|
| 190 |
+
"learning_rate": 5.7555555555555564e-06,
|
| 191 |
+
"loss": 0.2613,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.06,
|
| 196 |
+
"grad_norm": 0.9745206236839294,
|
| 197 |
+
"learning_rate": 5.977777777777778e-06,
|
| 198 |
+
"loss": 0.2703,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.06222222222222222,
|
| 203 |
+
"grad_norm": 1.5302971601486206,
|
| 204 |
+
"learning_rate": 6.200000000000001e-06,
|
| 205 |
+
"loss": 0.2482,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.06444444444444444,
|
| 210 |
+
"grad_norm": 1.7488389015197754,
|
| 211 |
+
"learning_rate": 6.422222222222223e-06,
|
| 212 |
+
"loss": 0.2688,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.06666666666666667,
|
| 217 |
+
"grad_norm": 1.121248722076416,
|
| 218 |
+
"learning_rate": 6.644444444444444e-06,
|
| 219 |
+
"loss": 0.2597,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.06888888888888889,
|
| 224 |
+
"grad_norm": 1.1401336193084717,
|
| 225 |
+
"learning_rate": 6.866666666666667e-06,
|
| 226 |
+
"loss": 0.2406,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.07111111111111111,
|
| 231 |
+
"grad_norm": 0.8919104933738708,
|
| 232 |
+
"learning_rate": 7.0888888888888894e-06,
|
| 233 |
+
"loss": 0.2585,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.07333333333333333,
|
| 238 |
+
"grad_norm": 1.1204718351364136,
|
| 239 |
+
"learning_rate": 7.3111111111111125e-06,
|
| 240 |
+
"loss": 0.2538,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.07555555555555556,
|
| 245 |
+
"grad_norm": 0.9152598977088928,
|
| 246 |
+
"learning_rate": 7.533333333333334e-06,
|
| 247 |
+
"loss": 0.2558,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.07777777777777778,
|
| 252 |
+
"grad_norm": 1.179988145828247,
|
| 253 |
+
"learning_rate": 7.755555555555557e-06,
|
| 254 |
+
"loss": 0.2519,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.08,
|
| 259 |
+
"grad_norm": 0.8173415064811707,
|
| 260 |
+
"learning_rate": 7.977777777777779e-06,
|
| 261 |
+
"loss": 0.2571,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.08222222222222222,
|
| 266 |
+
"grad_norm": 1.209908366203308,
|
| 267 |
+
"learning_rate": 8.2e-06,
|
| 268 |
+
"loss": 0.247,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.08444444444444445,
|
| 273 |
+
"grad_norm": 0.939825713634491,
|
| 274 |
+
"learning_rate": 8.422222222222223e-06,
|
| 275 |
+
"loss": 0.2722,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.08666666666666667,
|
| 280 |
+
"grad_norm": 1.0540449619293213,
|
| 281 |
+
"learning_rate": 8.644444444444445e-06,
|
| 282 |
+
"loss": 0.2493,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.08888888888888889,
|
| 287 |
+
"grad_norm": 1.1151156425476074,
|
| 288 |
+
"learning_rate": 8.866666666666668e-06,
|
| 289 |
+
"loss": 0.2385,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.09111111111111111,
|
| 294 |
+
"grad_norm": 0.9593901634216309,
|
| 295 |
+
"learning_rate": 9.08888888888889e-06,
|
| 296 |
+
"loss": 0.2643,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.09333333333333334,
|
| 301 |
+
"grad_norm": 0.950873851776123,
|
| 302 |
+
"learning_rate": 9.311111111111112e-06,
|
| 303 |
+
"loss": 0.2453,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.09555555555555556,
|
| 308 |
+
"grad_norm": 0.9747631549835205,
|
| 309 |
+
"learning_rate": 9.533333333333334e-06,
|
| 310 |
+
"loss": 0.239,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.09777777777777778,
|
| 315 |
+
"grad_norm": 0.8782416582107544,
|
| 316 |
+
"learning_rate": 9.755555555555556e-06,
|
| 317 |
+
"loss": 0.2619,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.1,
|
| 322 |
+
"grad_norm": 0.8192035555839539,
|
| 323 |
+
"learning_rate": 9.977777777777778e-06,
|
| 324 |
+
"loss": 0.2526,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.10222222222222223,
|
| 329 |
+
"grad_norm": 0.7931861877441406,
|
| 330 |
+
"learning_rate": 9.999878153526974e-06,
|
| 331 |
+
"loss": 0.2503,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.10444444444444445,
|
| 336 |
+
"grad_norm": 1.1188077926635742,
|
| 337 |
+
"learning_rate": 9.999456963466733e-06,
|
| 338 |
+
"loss": 0.2549,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.10666666666666667,
|
| 343 |
+
"grad_norm": 0.6315785646438599,
|
| 344 |
+
"learning_rate": 9.99873495087924e-06,
|
| 345 |
+
"loss": 0.2613,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.10888888888888888,
|
| 350 |
+
"grad_norm": 0.8032658696174622,
|
| 351 |
+
"learning_rate": 9.997712159208745e-06,
|
| 352 |
+
"loss": 0.238,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.1111111111111111,
|
| 357 |
+
"grad_norm": 0.7566089034080505,
|
| 358 |
+
"learning_rate": 9.996388649997687e-06,
|
| 359 |
+
"loss": 0.2562,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.11333333333333333,
|
| 364 |
+
"grad_norm": 1.462567687034607,
|
| 365 |
+
"learning_rate": 9.99476450288299e-06,
|
| 366 |
+
"loss": 0.239,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.11555555555555555,
|
| 371 |
+
"grad_norm": 0.8008801937103271,
|
| 372 |
+
"learning_rate": 9.99283981559128e-06,
|
| 373 |
+
"loss": 0.2323,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.11777777777777777,
|
| 378 |
+
"grad_norm": 0.9862453937530518,
|
| 379 |
+
"learning_rate": 9.990614703932991e-06,
|
| 380 |
+
"loss": 0.2685,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.12,
|
| 385 |
+
"grad_norm": 1.1226696968078613,
|
| 386 |
+
"learning_rate": 9.988089301795406e-06,
|
| 387 |
+
"loss": 0.2484,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.12222222222222222,
|
| 392 |
+
"grad_norm": 0.9309948682785034,
|
| 393 |
+
"learning_rate": 9.985263761134602e-06,
|
| 394 |
+
"loss": 0.2422,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.12444444444444444,
|
| 399 |
+
"grad_norm": 0.7939280271530151,
|
| 400 |
+
"learning_rate": 9.982138251966297e-06,
|
| 401 |
+
"loss": 0.2537,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.12666666666666668,
|
| 406 |
+
"grad_norm": 0.7078467011451721,
|
| 407 |
+
"learning_rate": 9.978712962355634e-06,
|
| 408 |
+
"loss": 0.245,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.1288888888888889,
|
| 413 |
+
"grad_norm": 0.6874547004699707,
|
| 414 |
+
"learning_rate": 9.97498809840585e-06,
|
| 415 |
+
"loss": 0.255,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.13111111111111112,
|
| 420 |
+
"grad_norm": 0.7818899750709534,
|
| 421 |
+
"learning_rate": 9.970963884245885e-06,
|
| 422 |
+
"loss": 0.2183,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.13333333333333333,
|
| 427 |
+
"grad_norm": 0.8907263875007629,
|
| 428 |
+
"learning_rate": 9.96664056201689e-06,
|
| 429 |
+
"loss": 0.2487,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.13555555555555557,
|
| 434 |
+
"grad_norm": 0.8063980937004089,
|
| 435 |
+
"learning_rate": 9.962018391857665e-06,
|
| 436 |
+
"loss": 0.2721,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.13777777777777778,
|
| 441 |
+
"grad_norm": 0.5637244582176208,
|
| 442 |
+
"learning_rate": 9.957097651888996e-06,
|
| 443 |
+
"loss": 0.2377,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.14,
|
| 448 |
+
"grad_norm": 0.7864395380020142,
|
| 449 |
+
"learning_rate": 9.951878638196929e-06,
|
| 450 |
+
"loss": 0.2429,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.14222222222222222,
|
| 455 |
+
"grad_norm": 2.0207912921905518,
|
| 456 |
+
"learning_rate": 9.946361664814942e-06,
|
| 457 |
+
"loss": 0.2177,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.14444444444444443,
|
| 462 |
+
"grad_norm": 0.789048433303833,
|
| 463 |
+
"learning_rate": 9.940547063705071e-06,
|
| 464 |
+
"loss": 0.2674,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.14666666666666667,
|
| 469 |
+
"grad_norm": 0.738323986530304,
|
| 470 |
+
"learning_rate": 9.93443518473791e-06,
|
| 471 |
+
"loss": 0.2404,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.14888888888888888,
|
| 476 |
+
"grad_norm": 0.7731937766075134,
|
| 477 |
+
"learning_rate": 9.928026395671577e-06,
|
| 478 |
+
"loss": 0.2551,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.1511111111111111,
|
| 483 |
+
"grad_norm": 0.7536585330963135,
|
| 484 |
+
"learning_rate": 9.921321082129578e-06,
|
| 485 |
+
"loss": 0.2318,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.15333333333333332,
|
| 490 |
+
"grad_norm": 0.5649324655532837,
|
| 491 |
+
"learning_rate": 9.914319647577608e-06,
|
| 492 |
+
"loss": 0.2614,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.15555555555555556,
|
| 497 |
+
"grad_norm": 0.9135245680809021,
|
| 498 |
+
"learning_rate": 9.907022513299264e-06,
|
| 499 |
+
"loss": 0.263,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.15777777777777777,
|
| 504 |
+
"grad_norm": 0.5732267498970032,
|
| 505 |
+
"learning_rate": 9.899430118370712e-06,
|
| 506 |
+
"loss": 0.2403,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.16,
|
| 511 |
+
"grad_norm": 1.2682362794876099,
|
| 512 |
+
"learning_rate": 9.891542919634252e-06,
|
| 513 |
+
"loss": 0.2392,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.1622222222222222,
|
| 518 |
+
"grad_norm": 0.7436350584030151,
|
| 519 |
+
"learning_rate": 9.883361391670841e-06,
|
| 520 |
+
"loss": 0.2456,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.16444444444444445,
|
| 525 |
+
"grad_norm": 0.9578115940093994,
|
| 526 |
+
"learning_rate": 9.874886026771526e-06,
|
| 527 |
+
"loss": 0.2535,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.16666666666666666,
|
| 532 |
+
"grad_norm": 0.663854718208313,
|
| 533 |
+
"learning_rate": 9.866117334907832e-06,
|
| 534 |
+
"loss": 0.2486,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.1688888888888889,
|
| 539 |
+
"grad_norm": 0.6800159215927124,
|
| 540 |
+
"learning_rate": 9.857055843701073e-06,
|
| 541 |
+
"loss": 0.3019,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.1711111111111111,
|
| 546 |
+
"grad_norm": 0.652099072933197,
|
| 547 |
+
"learning_rate": 9.847702098390603e-06,
|
| 548 |
+
"loss": 0.2646,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.17333333333333334,
|
| 553 |
+
"grad_norm": 0.6285194158554077,
|
| 554 |
+
"learning_rate": 9.83805666180101e-06,
|
| 555 |
+
"loss": 0.242,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.17555555555555555,
|
| 560 |
+
"grad_norm": 1.1205041408538818,
|
| 561 |
+
"learning_rate": 9.828120114308248e-06,
|
| 562 |
+
"loss": 0.248,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.17777777777777778,
|
| 567 |
+
"grad_norm": 0.7202767729759216,
|
| 568 |
+
"learning_rate": 9.817893053804719e-06,
|
| 569 |
+
"loss": 0.2495,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.18,
|
| 574 |
+
"grad_norm": 0.6055144667625427,
|
| 575 |
+
"learning_rate": 9.807376095663294e-06,
|
| 576 |
+
"loss": 0.2211,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.18222222222222223,
|
| 581 |
+
"grad_norm": 0.8455381989479065,
|
| 582 |
+
"learning_rate": 9.796569872700287e-06,
|
| 583 |
+
"loss": 0.2571,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.18444444444444444,
|
| 588 |
+
"grad_norm": 0.6304262280464172,
|
| 589 |
+
"learning_rate": 9.78547503513738e-06,
|
| 590 |
+
"loss": 0.2377,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.18666666666666668,
|
| 595 |
+
"grad_norm": 0.5813708305358887,
|
| 596 |
+
"learning_rate": 9.774092250562488e-06,
|
| 597 |
+
"loss": 0.2179,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.18888888888888888,
|
| 602 |
+
"grad_norm": 0.6618791222572327,
|
| 603 |
+
"learning_rate": 9.762422203889604e-06,
|
| 604 |
+
"loss": 0.2585,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.19111111111111112,
|
| 609 |
+
"grad_norm": 0.6583630442619324,
|
| 610 |
+
"learning_rate": 9.75046559731758e-06,
|
| 611 |
+
"loss": 0.2574,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.19333333333333333,
|
| 616 |
+
"grad_norm": 0.8397955298423767,
|
| 617 |
+
"learning_rate": 9.738223150287874e-06,
|
| 618 |
+
"loss": 0.2384,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.19555555555555557,
|
| 623 |
+
"grad_norm": 0.7914876341819763,
|
| 624 |
+
"learning_rate": 9.72569559944126e-06,
|
| 625 |
+
"loss": 0.2449,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.19777777777777777,
|
| 630 |
+
"grad_norm": 0.7022516131401062,
|
| 631 |
+
"learning_rate": 9.712883698573506e-06,
|
| 632 |
+
"loss": 0.2486,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.2,
|
| 637 |
+
"grad_norm": 0.6290777921676636,
|
| 638 |
+
"learning_rate": 9.69978821859002e-06,
|
| 639 |
+
"loss": 0.2518,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.20222222222222222,
|
| 644 |
+
"grad_norm": 0.6342347264289856,
|
| 645 |
+
"learning_rate": 9.68640994745946e-06,
|
| 646 |
+
"loss": 0.2354,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.20444444444444446,
|
| 651 |
+
"grad_norm": 1.0882257223129272,
|
| 652 |
+
"learning_rate": 9.672749690166312e-06,
|
| 653 |
+
"loss": 0.2358,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.20666666666666667,
|
| 658 |
+
"grad_norm": 0.6573370099067688,
|
| 659 |
+
"learning_rate": 9.658808268662478e-06,
|
| 660 |
+
"loss": 0.2286,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.2088888888888889,
|
| 665 |
+
"grad_norm": 0.6233929991722107,
|
| 666 |
+
"learning_rate": 9.644586521817792e-06,
|
| 667 |
+
"loss": 0.2242,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.2111111111111111,
|
| 672 |
+
"grad_norm": 0.7514392733573914,
|
| 673 |
+
"learning_rate": 9.630085305369559e-06,
|
| 674 |
+
"loss": 0.2501,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.21333333333333335,
|
| 679 |
+
"grad_norm": 0.5216835737228394,
|
| 680 |
+
"learning_rate": 9.61530549187106e-06,
|
| 681 |
+
"loss": 0.2675,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.21555555555555556,
|
| 686 |
+
"grad_norm": 0.6454413533210754,
|
| 687 |
+
"learning_rate": 9.600247970639053e-06,
|
| 688 |
+
"loss": 0.2409,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.21777777777777776,
|
| 693 |
+
"grad_norm": 0.4984878599643707,
|
| 694 |
+
"learning_rate": 9.584913647700256e-06,
|
| 695 |
+
"loss": 0.2298,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.22,
|
| 700 |
+
"grad_norm": 0.6576786041259766,
|
| 701 |
+
"learning_rate": 9.569303445736836e-06,
|
| 702 |
+
"loss": 0.2351,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.2222222222222222,
|
| 707 |
+
"grad_norm": 0.6296005249023438,
|
| 708 |
+
"learning_rate": 9.553418304030886e-06,
|
| 709 |
+
"loss": 0.2356,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.22444444444444445,
|
| 714 |
+
"grad_norm": 0.5381527543067932,
|
| 715 |
+
"learning_rate": 9.53725917840791e-06,
|
| 716 |
+
"loss": 0.2456,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.22666666666666666,
|
| 721 |
+
"grad_norm": 0.5423462390899658,
|
| 722 |
+
"learning_rate": 9.520827041179314e-06,
|
| 723 |
+
"loss": 0.2337,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.2288888888888889,
|
| 728 |
+
"grad_norm": 0.6082004308700562,
|
| 729 |
+
"learning_rate": 9.504122881083886e-06,
|
| 730 |
+
"loss": 0.2277,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.2311111111111111,
|
| 735 |
+
"grad_norm": 0.5773634910583496,
|
| 736 |
+
"learning_rate": 9.487147703228323e-06,
|
| 737 |
+
"loss": 0.2682,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.23333333333333334,
|
| 742 |
+
"grad_norm": 0.5538159012794495,
|
| 743 |
+
"learning_rate": 9.469902529026736e-06,
|
| 744 |
+
"loss": 0.2367,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.23555555555555555,
|
| 749 |
+
"grad_norm": 0.4995594322681427,
|
| 750 |
+
"learning_rate": 9.452388396139202e-06,
|
| 751 |
+
"loss": 0.218,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.23777777777777778,
|
| 756 |
+
"grad_norm": 0.49008551239967346,
|
| 757 |
+
"learning_rate": 9.43460635840932e-06,
|
| 758 |
+
"loss": 0.2371,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.24,
|
| 763 |
+
"grad_norm": 0.45274797081947327,
|
| 764 |
+
"learning_rate": 9.416557485800796e-06,
|
| 765 |
+
"loss": 0.2214,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.24222222222222223,
|
| 770 |
+
"grad_norm": 0.5752720832824707,
|
| 771 |
+
"learning_rate": 9.398242864333084e-06,
|
| 772 |
+
"loss": 0.2463,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.24444444444444444,
|
| 777 |
+
"grad_norm": 0.497204452753067,
|
| 778 |
+
"learning_rate": 9.379663596016004e-06,
|
| 779 |
+
"loss": 0.2479,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.24666666666666667,
|
| 784 |
+
"grad_norm": 0.7408638000488281,
|
| 785 |
+
"learning_rate": 9.360820798783469e-06,
|
| 786 |
+
"loss": 0.2367,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.24888888888888888,
|
| 791 |
+
"grad_norm": 0.4845982789993286,
|
| 792 |
+
"learning_rate": 9.34171560642619e-06,
|
| 793 |
+
"loss": 0.2442,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.2511111111111111,
|
| 798 |
+
"grad_norm": 0.6029704213142395,
|
| 799 |
+
"learning_rate": 9.322349168523467e-06,
|
| 800 |
+
"loss": 0.2404,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.25333333333333335,
|
| 805 |
+
"grad_norm": 0.709968090057373,
|
| 806 |
+
"learning_rate": 9.302722650374025e-06,
|
| 807 |
+
"loss": 0.2438,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.25555555555555554,
|
| 812 |
+
"grad_norm": 2.07013201713562,
|
| 813 |
+
"learning_rate": 9.282837232925876e-06,
|
| 814 |
+
"loss": 0.2289,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.2577777777777778,
|
| 819 |
+
"grad_norm": 0.7255764603614807,
|
| 820 |
+
"learning_rate": 9.262694112705283e-06,
|
| 821 |
+
"loss": 0.2506,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.26,
|
| 826 |
+
"grad_norm": 0.5754784345626831,
|
| 827 |
+
"learning_rate": 9.242294501744743e-06,
|
| 828 |
+
"loss": 0.2339,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.26222222222222225,
|
| 833 |
+
"grad_norm": 0.5370100140571594,
|
| 834 |
+
"learning_rate": 9.221639627510076e-06,
|
| 835 |
+
"loss": 0.2392,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.2644444444444444,
|
| 840 |
+
"grad_norm": 0.5608746409416199,
|
| 841 |
+
"learning_rate": 9.200730732826555e-06,
|
| 842 |
+
"loss": 0.2473,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.26666666666666666,
|
| 847 |
+
"grad_norm": 1.2223387956619263,
|
| 848 |
+
"learning_rate": 9.179569075804124e-06,
|
| 849 |
+
"loss": 0.2699,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.2688888888888889,
|
| 854 |
+
"grad_norm": 0.8413452506065369,
|
| 855 |
+
"learning_rate": 9.15815592976171e-06,
|
| 856 |
+
"loss": 0.228,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.27111111111111114,
|
| 861 |
+
"grad_norm": 0.7279114723205566,
|
| 862 |
+
"learning_rate": 9.136492583150588e-06,
|
| 863 |
+
"loss": 0.2495,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.2733333333333333,
|
| 868 |
+
"grad_norm": 0.5452325940132141,
|
| 869 |
+
"learning_rate": 9.114580339476859e-06,
|
| 870 |
+
"loss": 0.2621,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.27555555555555555,
|
| 875 |
+
"grad_norm": 0.600328803062439,
|
| 876 |
+
"learning_rate": 9.09242051722303e-06,
|
| 877 |
+
"loss": 0.2456,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.2777777777777778,
|
| 882 |
+
"grad_norm": 0.7233782410621643,
|
| 883 |
+
"learning_rate": 9.07001444976866e-06,
|
| 884 |
+
"loss": 0.2421,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.28,
|
| 889 |
+
"grad_norm": 0.6281599402427673,
|
| 890 |
+
"learning_rate": 9.04736348531014e-06,
|
| 891 |
+
"loss": 0.2503,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.2822222222222222,
|
| 896 |
+
"grad_norm": 0.7944521903991699,
|
| 897 |
+
"learning_rate": 9.02446898677957e-06,
|
| 898 |
+
"loss": 0.2337,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.28444444444444444,
|
| 903 |
+
"grad_norm": 0.7317690253257751,
|
| 904 |
+
"learning_rate": 9.001332331762748e-06,
|
| 905 |
+
"loss": 0.2465,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.2866666666666667,
|
| 910 |
+
"grad_norm": 0.7070778608322144,
|
| 911 |
+
"learning_rate": 8.977954912416278e-06,
|
| 912 |
+
"loss": 0.2542,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.28888888888888886,
|
| 917 |
+
"grad_norm": 0.4883306324481964,
|
| 918 |
+
"learning_rate": 8.954338135383804e-06,
|
| 919 |
+
"loss": 0.2258,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.2911111111111111,
|
| 924 |
+
"grad_norm": 0.6024297475814819,
|
| 925 |
+
"learning_rate": 8.930483421711376e-06,
|
| 926 |
+
"loss": 0.2342,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.29333333333333333,
|
| 931 |
+
"grad_norm": 0.6627012491226196,
|
| 932 |
+
"learning_rate": 8.906392206761933e-06,
|
| 933 |
+
"loss": 0.2452,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.29555555555555557,
|
| 938 |
+
"grad_norm": 0.6280615329742432,
|
| 939 |
+
"learning_rate": 8.882065940128946e-06,
|
| 940 |
+
"loss": 0.2275,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.29777777777777775,
|
| 945 |
+
"grad_norm": 0.5541442632675171,
|
| 946 |
+
"learning_rate": 8.857506085549188e-06,
|
| 947 |
+
"loss": 0.23,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.3,
|
| 952 |
+
"grad_norm": 0.7187899947166443,
|
| 953 |
+
"learning_rate": 8.832714120814663e-06,
|
| 954 |
+
"loss": 0.238,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.3022222222222222,
|
| 959 |
+
"grad_norm": 0.7954230308532715,
|
| 960 |
+
"learning_rate": 8.807691537683685e-06,
|
| 961 |
+
"loss": 0.2371,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.30444444444444446,
|
| 966 |
+
"grad_norm": 0.7210007905960083,
|
| 967 |
+
"learning_rate": 8.782439841791115e-06,
|
| 968 |
+
"loss": 0.2303,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.30666666666666664,
|
| 973 |
+
"grad_norm": 0.6461169123649597,
|
| 974 |
+
"learning_rate": 8.756960552557769e-06,
|
| 975 |
+
"loss": 0.2322,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.3088888888888889,
|
| 980 |
+
"grad_norm": 0.6190142631530762,
|
| 981 |
+
"learning_rate": 8.73125520309899e-06,
|
| 982 |
+
"loss": 0.2618,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.3111111111111111,
|
| 987 |
+
"grad_norm": 0.5950425863265991,
|
| 988 |
+
"learning_rate": 8.7053253401324e-06,
|
| 989 |
+
"loss": 0.252,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.31333333333333335,
|
| 994 |
+
"grad_norm": 0.6483864784240723,
|
| 995 |
+
"learning_rate": 8.679172523884833e-06,
|
| 996 |
+
"loss": 0.2376,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.31555555555555553,
|
| 1001 |
+
"grad_norm": 0.5700867176055908,
|
| 1002 |
+
"learning_rate": 8.652798327998458e-06,
|
| 1003 |
+
"loss": 0.2398,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.31777777777777777,
|
| 1008 |
+
"grad_norm": 0.6297434568405151,
|
| 1009 |
+
"learning_rate": 8.626204339436075e-06,
|
| 1010 |
+
"loss": 0.2144,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.32,
|
| 1015 |
+
"grad_norm": 0.6893297433853149,
|
| 1016 |
+
"learning_rate": 8.599392158385651e-06,
|
| 1017 |
+
"loss": 0.2401,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.32222222222222224,
|
| 1022 |
+
"grad_norm": 0.5975915193557739,
|
| 1023 |
+
"learning_rate": 8.572363398164017e-06,
|
| 1024 |
+
"loss": 0.2276,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.3244444444444444,
|
| 1029 |
+
"grad_norm": 0.8578329086303711,
|
| 1030 |
+
"learning_rate": 8.545119685119798e-06,
|
| 1031 |
+
"loss": 0.2439,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.32666666666666666,
|
| 1036 |
+
"grad_norm": 0.5509724020957947,
|
| 1037 |
+
"learning_rate": 8.51766265853555e-06,
|
| 1038 |
+
"loss": 0.2337,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.3288888888888889,
|
| 1043 |
+
"grad_norm": 0.5381113290786743,
|
| 1044 |
+
"learning_rate": 8.489993970529137e-06,
|
| 1045 |
+
"loss": 0.2551,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.33111111111111113,
|
| 1050 |
+
"grad_norm": 0.48399072885513306,
|
| 1051 |
+
"learning_rate": 8.462115285954299e-06,
|
| 1052 |
+
"loss": 0.2255,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.3333333333333333,
|
| 1057 |
+
"grad_norm": 0.5049117803573608,
|
| 1058 |
+
"learning_rate": 8.434028282300497e-06,
|
| 1059 |
+
"loss": 0.2321,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.33555555555555555,
|
| 1064 |
+
"grad_norm": 0.6357067823410034,
|
| 1065 |
+
"learning_rate": 8.405734649591964e-06,
|
| 1066 |
+
"loss": 0.262,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.3377777777777778,
|
| 1071 |
+
"grad_norm": 0.4836282730102539,
|
| 1072 |
+
"learning_rate": 8.377236090286016e-06,
|
| 1073 |
+
"loss": 0.2383,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.34,
|
| 1078 |
+
"grad_norm": 0.7071205377578735,
|
| 1079 |
+
"learning_rate": 8.34853431917062e-06,
|
| 1080 |
+
"loss": 0.2369,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.3422222222222222,
|
| 1085 |
+
"grad_norm": 1.08063805103302,
|
| 1086 |
+
"learning_rate": 8.319631063261209e-06,
|
| 1087 |
+
"loss": 0.2555,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.34444444444444444,
|
| 1092 |
+
"grad_norm": 0.6078683733940125,
|
| 1093 |
+
"learning_rate": 8.290528061696761e-06,
|
| 1094 |
+
"loss": 0.2137,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.3466666666666667,
|
| 1099 |
+
"grad_norm": 0.8036940097808838,
|
| 1100 |
+
"learning_rate": 8.261227065635162e-06,
|
| 1101 |
+
"loss": 0.2277,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.3488888888888889,
|
| 1106 |
+
"grad_norm": 0.4736039936542511,
|
| 1107 |
+
"learning_rate": 8.231729838147833e-06,
|
| 1108 |
+
"loss": 0.2408,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.3511111111111111,
|
| 1113 |
+
"grad_norm": 0.649137556552887,
|
| 1114 |
+
"learning_rate": 8.202038154113641e-06,
|
| 1115 |
+
"loss": 0.2541,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.35333333333333333,
|
| 1120 |
+
"grad_norm": 1.1798919439315796,
|
| 1121 |
+
"learning_rate": 8.172153800112107e-06,
|
| 1122 |
+
"loss": 0.2486,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.35555555555555557,
|
| 1127 |
+
"grad_norm": 0.9178785085678101,
|
| 1128 |
+
"learning_rate": 8.142078574315907e-06,
|
| 1129 |
+
"loss": 0.2556,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.35777777777777775,
|
| 1134 |
+
"grad_norm": 0.5806071162223816,
|
| 1135 |
+
"learning_rate": 8.111814286382667e-06,
|
| 1136 |
+
"loss": 0.2276,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.36,
|
| 1141 |
+
"grad_norm": 0.447551965713501,
|
| 1142 |
+
"learning_rate": 8.081362757346083e-06,
|
| 1143 |
+
"loss": 0.2315,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.3622222222222222,
|
| 1148 |
+
"grad_norm": 0.6877042055130005,
|
| 1149 |
+
"learning_rate": 8.05072581950634e-06,
|
| 1150 |
+
"loss": 0.2529,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.36444444444444446,
|
| 1155 |
+
"grad_norm": 0.48793140053749084,
|
| 1156 |
+
"learning_rate": 8.019905316319863e-06,
|
| 1157 |
+
"loss": 0.2413,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.36666666666666664,
|
| 1162 |
+
"grad_norm": 0.6241080164909363,
|
| 1163 |
+
"learning_rate": 7.988903102288399e-06,
|
| 1164 |
+
"loss": 0.1942,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.3688888888888889,
|
| 1169 |
+
"grad_norm": 0.5032159686088562,
|
| 1170 |
+
"learning_rate": 7.95772104284742e-06,
|
| 1171 |
+
"loss": 0.2577,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.3711111111111111,
|
| 1176 |
+
"grad_norm": 0.8827240467071533,
|
| 1177 |
+
"learning_rate": 7.92636101425389e-06,
|
| 1178 |
+
"loss": 0.2464,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.37333333333333335,
|
| 1183 |
+
"grad_norm": 0.8194811940193176,
|
| 1184 |
+
"learning_rate": 7.894824903473356e-06,
|
| 1185 |
+
"loss": 0.241,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.37555555555555553,
|
| 1190 |
+
"grad_norm": 0.5342280268669128,
|
| 1191 |
+
"learning_rate": 7.863114608066417e-06,
|
| 1192 |
+
"loss": 0.2196,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.37777777777777777,
|
| 1197 |
+
"grad_norm": 0.46870356798171997,
|
| 1198 |
+
"learning_rate": 7.831232036074542e-06,
|
| 1199 |
+
"loss": 0.2434,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.38,
|
| 1204 |
+
"grad_norm": 0.7307283282279968,
|
| 1205 |
+
"learning_rate": 7.799179105905255e-06,
|
| 1206 |
+
"loss": 0.2257,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.38222222222222224,
|
| 1211 |
+
"grad_norm": 0.4963550567626953,
|
| 1212 |
+
"learning_rate": 7.76695774621672e-06,
|
| 1213 |
+
"loss": 0.2328,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.3844444444444444,
|
| 1218 |
+
"grad_norm": 0.5179299116134644,
|
| 1219 |
+
"learning_rate": 7.734569895801675e-06,
|
| 1220 |
+
"loss": 0.2271,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.38666666666666666,
|
| 1225 |
+
"grad_norm": 0.8800008296966553,
|
| 1226 |
+
"learning_rate": 7.702017503470773e-06,
|
| 1227 |
+
"loss": 0.2355,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.3888888888888889,
|
| 1232 |
+
"grad_norm": 0.5152933597564697,
|
| 1233 |
+
"learning_rate": 7.669302527935334e-06,
|
| 1234 |
+
"loss": 0.2525,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.39111111111111113,
|
| 1239 |
+
"grad_norm": 0.6789291501045227,
|
| 1240 |
+
"learning_rate": 7.636426937689476e-06,
|
| 1241 |
+
"loss": 0.2195,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.3933333333333333,
|
| 1246 |
+
"grad_norm": 0.5838199853897095,
|
| 1247 |
+
"learning_rate": 7.603392710891665e-06,
|
| 1248 |
+
"loss": 0.2435,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.39555555555555555,
|
| 1253 |
+
"grad_norm": 1.0570043325424194,
|
| 1254 |
+
"learning_rate": 7.570201835245703e-06,
|
| 1255 |
+
"loss": 0.2358,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.3977777777777778,
|
| 1260 |
+
"grad_norm": 0.5464975237846375,
|
| 1261 |
+
"learning_rate": 7.536856307881106e-06,
|
| 1262 |
+
"loss": 0.2385,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.4,
|
| 1267 |
+
"grad_norm": 0.4945601224899292,
|
| 1268 |
+
"learning_rate": 7.503358135232959e-06,
|
| 1269 |
+
"loss": 0.2479,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.4022222222222222,
|
| 1274 |
+
"grad_norm": 0.9876905083656311,
|
| 1275 |
+
"learning_rate": 7.469709332921155e-06,
|
| 1276 |
+
"loss": 0.2276,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.40444444444444444,
|
| 1281 |
+
"grad_norm": 0.7718654274940491,
|
| 1282 |
+
"learning_rate": 7.435911925629146e-06,
|
| 1283 |
+
"loss": 0.2405,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.4066666666666667,
|
| 1288 |
+
"grad_norm": 0.8102084398269653,
|
| 1289 |
+
"learning_rate": 7.401967946982089e-06,
|
| 1290 |
+
"loss": 0.2408,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.4088888888888889,
|
| 1295 |
+
"grad_norm": 0.4835777282714844,
|
| 1296 |
+
"learning_rate": 7.3678794394245e-06,
|
| 1297 |
+
"loss": 0.2338,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.4111111111111111,
|
| 1302 |
+
"grad_norm": 0.6379567980766296,
|
| 1303 |
+
"learning_rate": 7.333648454097347e-06,
|
| 1304 |
+
"loss": 0.2465,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.41333333333333333,
|
| 1309 |
+
"grad_norm": 0.5484440922737122,
|
| 1310 |
+
"learning_rate": 7.299277050714631e-06,
|
| 1311 |
+
"loss": 0.2121,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.41555555555555557,
|
| 1316 |
+
"grad_norm": 0.5078845620155334,
|
| 1317 |
+
"learning_rate": 7.264767297439455e-06,
|
| 1318 |
+
"loss": 0.2035,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.4177777777777778,
|
| 1323 |
+
"grad_norm": 0.8418991565704346,
|
| 1324 |
+
"learning_rate": 7.230121270759583e-06,
|
| 1325 |
+
"loss": 0.2338,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.42,
|
| 1330 |
+
"grad_norm": 0.859330415725708,
|
| 1331 |
+
"learning_rate": 7.195341055362485e-06,
|
| 1332 |
+
"loss": 0.2561,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.4222222222222222,
|
| 1337 |
+
"grad_norm": 0.5570971369743347,
|
| 1338 |
+
"learning_rate": 7.160428744009913e-06,
|
| 1339 |
+
"loss": 0.2146,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.42444444444444446,
|
| 1344 |
+
"grad_norm": 0.5831572413444519,
|
| 1345 |
+
"learning_rate": 7.1253864374119615e-06,
|
| 1346 |
+
"loss": 0.2328,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.4266666666666667,
|
| 1351 |
+
"grad_norm": 0.5856032371520996,
|
| 1352 |
+
"learning_rate": 7.090216244100683e-06,
|
| 1353 |
+
"loss": 0.2428,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.4288888888888889,
|
| 1358 |
+
"grad_norm": 0.6182511448860168,
|
| 1359 |
+
"learning_rate": 7.054920280303199e-06,
|
| 1360 |
+
"loss": 0.2048,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.4311111111111111,
|
| 1365 |
+
"grad_norm": 0.4959850013256073,
|
| 1366 |
+
"learning_rate": 7.019500669814378e-06,
|
| 1367 |
+
"loss": 0.2357,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.43333333333333335,
|
| 1372 |
+
"grad_norm": 0.5951399207115173,
|
| 1373 |
+
"learning_rate": 6.9839595438690345e-06,
|
| 1374 |
+
"loss": 0.1973,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.43555555555555553,
|
| 1379 |
+
"grad_norm": 0.5738755464553833,
|
| 1380 |
+
"learning_rate": 6.948299041013695e-06,
|
| 1381 |
+
"loss": 0.2388,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.43777777777777777,
|
| 1386 |
+
"grad_norm": 0.7726308107376099,
|
| 1387 |
+
"learning_rate": 6.912521306977922e-06,
|
| 1388 |
+
"loss": 0.2317,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.44,
|
| 1393 |
+
"grad_norm": 0.6541021466255188,
|
| 1394 |
+
"learning_rate": 6.876628494545198e-06,
|
| 1395 |
+
"loss": 0.2288,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.44222222222222224,
|
| 1400 |
+
"grad_norm": 0.4881785213947296,
|
| 1401 |
+
"learning_rate": 6.840622763423391e-06,
|
| 1402 |
+
"loss": 0.241,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.4444444444444444,
|
| 1407 |
+
"grad_norm": 2.4665493965148926,
|
| 1408 |
+
"learning_rate": 6.804506280114804e-06,
|
| 1409 |
+
"loss": 0.223,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.44666666666666666,
|
| 1414 |
+
"grad_norm": 0.5558962821960449,
|
| 1415 |
+
"learning_rate": 6.76828121778582e-06,
|
| 1416 |
+
"loss": 0.226,
|
| 1417 |
+
"step": 2010
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.4488888888888889,
|
| 1421 |
+
"grad_norm": 0.5440465807914734,
|
| 1422 |
+
"learning_rate": 6.7319497561361245e-06,
|
| 1423 |
+
"loss": 0.2458,
|
| 1424 |
+
"step": 2020
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.45111111111111113,
|
| 1428 |
+
"grad_norm": 0.5264802575111389,
|
| 1429 |
+
"learning_rate": 6.695514081267571e-06,
|
| 1430 |
+
"loss": 0.2341,
|
| 1431 |
+
"step": 2030
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.4533333333333333,
|
| 1435 |
+
"grad_norm": 0.5955103635787964,
|
| 1436 |
+
"learning_rate": 6.658976385552625e-06,
|
| 1437 |
+
"loss": 0.2252,
|
| 1438 |
+
"step": 2040
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.45555555555555555,
|
| 1442 |
+
"grad_norm": 0.5731228590011597,
|
| 1443 |
+
"learning_rate": 6.622338867502452e-06,
|
| 1444 |
+
"loss": 0.238,
|
| 1445 |
+
"step": 2050
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.4577777777777778,
|
| 1449 |
+
"grad_norm": 0.6660656332969666,
|
| 1450 |
+
"learning_rate": 6.585603731634636e-06,
|
| 1451 |
+
"loss": 0.2088,
|
| 1452 |
+
"step": 2060
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.46,
|
| 1456 |
+
"grad_norm": 0.5183016061782837,
|
| 1457 |
+
"learning_rate": 6.548773188340523e-06,
|
| 1458 |
+
"loss": 0.2048,
|
| 1459 |
+
"step": 2070
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.4622222222222222,
|
| 1463 |
+
"grad_norm": 0.5029473900794983,
|
| 1464 |
+
"learning_rate": 6.5118494537522235e-06,
|
| 1465 |
+
"loss": 0.2134,
|
| 1466 |
+
"step": 2080
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.46444444444444444,
|
| 1470 |
+
"grad_norm": 0.5297090411186218,
|
| 1471 |
+
"learning_rate": 6.474834749609266e-06,
|
| 1472 |
+
"loss": 0.2099,
|
| 1473 |
+
"step": 2090
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.4666666666666667,
|
| 1477 |
+
"grad_norm": 0.5621345043182373,
|
| 1478 |
+
"learning_rate": 6.4377313031249085e-06,
|
| 1479 |
+
"loss": 0.2318,
|
| 1480 |
+
"step": 2100
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.4688888888888889,
|
| 1484 |
+
"grad_norm": 0.49249330163002014,
|
| 1485 |
+
"learning_rate": 6.400541346852136e-06,
|
| 1486 |
+
"loss": 0.2358,
|
| 1487 |
+
"step": 2110
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.4711111111111111,
|
| 1491 |
+
"grad_norm": 0.6385971903800964,
|
| 1492 |
+
"learning_rate": 6.363267118549307e-06,
|
| 1493 |
+
"loss": 0.2262,
|
| 1494 |
+
"step": 2120
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.47333333333333333,
|
| 1498 |
+
"grad_norm": 0.41663241386413574,
|
| 1499 |
+
"learning_rate": 6.325910861045526e-06,
|
| 1500 |
+
"loss": 0.2381,
|
| 1501 |
+
"step": 2130
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.47555555555555556,
|
| 1505 |
+
"grad_norm": 0.7673817276954651,
|
| 1506 |
+
"learning_rate": 6.28847482210567e-06,
|
| 1507 |
+
"loss": 0.2076,
|
| 1508 |
+
"step": 2140
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.4777777777777778,
|
| 1512 |
+
"grad_norm": 0.4361864924430847,
|
| 1513 |
+
"learning_rate": 6.250961254295156e-06,
|
| 1514 |
+
"loss": 0.2382,
|
| 1515 |
+
"step": 2150
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.48,
|
| 1519 |
+
"grad_norm": 0.7437453866004944,
|
| 1520 |
+
"learning_rate": 6.21337241484439e-06,
|
| 1521 |
+
"loss": 0.2415,
|
| 1522 |
+
"step": 2160
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.4822222222222222,
|
| 1526 |
+
"grad_norm": 0.4662710130214691,
|
| 1527 |
+
"learning_rate": 6.17571056551295e-06,
|
| 1528 |
+
"loss": 0.2477,
|
| 1529 |
+
"step": 2170
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.48444444444444446,
|
| 1533 |
+
"grad_norm": 0.45837879180908203,
|
| 1534 |
+
"learning_rate": 6.137977972453499e-06,
|
| 1535 |
+
"loss": 0.2255,
|
| 1536 |
+
"step": 2180
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.4866666666666667,
|
| 1540 |
+
"grad_norm": 0.5218656063079834,
|
| 1541 |
+
"learning_rate": 6.10017690607542e-06,
|
| 1542 |
+
"loss": 0.2355,
|
| 1543 |
+
"step": 2190
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.4888888888888889,
|
| 1547 |
+
"grad_norm": 0.4350171685218811,
|
| 1548 |
+
"learning_rate": 6.062309640908206e-06,
|
| 1549 |
+
"loss": 0.2139,
|
| 1550 |
+
"step": 2200
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.4911111111111111,
|
| 1554 |
+
"grad_norm": 1.2192610502243042,
|
| 1555 |
+
"learning_rate": 6.024378455464603e-06,
|
| 1556 |
+
"loss": 0.2186,
|
| 1557 |
+
"step": 2210
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.49333333333333335,
|
| 1561 |
+
"grad_norm": 0.5528021454811096,
|
| 1562 |
+
"learning_rate": 5.986385632103505e-06,
|
| 1563 |
+
"loss": 0.2279,
|
| 1564 |
+
"step": 2220
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.4955555555555556,
|
| 1568 |
+
"grad_norm": 0.5733168721199036,
|
| 1569 |
+
"learning_rate": 5.948333456892624e-06,
|
| 1570 |
+
"loss": 0.2171,
|
| 1571 |
+
"step": 2230
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.49777777777777776,
|
| 1575 |
+
"grad_norm": 0.7069255113601685,
|
| 1576 |
+
"learning_rate": 5.910224219470935e-06,
|
| 1577 |
+
"loss": 0.229,
|
| 1578 |
+
"step": 2240
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.5,
|
| 1582 |
+
"grad_norm": 0.5340228080749512,
|
| 1583 |
+
"learning_rate": 5.872060212910903e-06,
|
| 1584 |
+
"loss": 0.2229,
|
| 1585 |
+
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.5022222222222222,
|
| 1589 |
+
"grad_norm": 0.5726852416992188,
|
| 1590 |
+
"learning_rate": 5.8338437335805124e-06,
|
| 1591 |
+
"loss": 0.2516,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.5044444444444445,
|
| 1596 |
+
"grad_norm": 0.5481095314025879,
|
| 1597 |
+
"learning_rate": 5.795577081005086e-06,
|
| 1598 |
+
"loss": 0.211,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.5066666666666667,
|
| 1603 |
+
"grad_norm": 0.7434238195419312,
|
| 1604 |
+
"learning_rate": 5.757262557728927e-06,
|
| 1605 |
+
"loss": 0.2389,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.5088888888888888,
|
| 1610 |
+
"grad_norm": 0.533612847328186,
|
| 1611 |
+
"learning_rate": 5.718902469176765e-06,
|
| 1612 |
+
"loss": 0.2153,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.5111111111111111,
|
| 1617 |
+
"grad_norm": 0.4836199879646301,
|
| 1618 |
+
"learning_rate": 5.680499123515039e-06,
|
| 1619 |
+
"loss": 0.2392,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.5133333333333333,
|
| 1624 |
+
"grad_norm": 0.5625936388969421,
|
| 1625 |
+
"learning_rate": 5.6420548315130156e-06,
|
| 1626 |
+
"loss": 0.2221,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.5155555555555555,
|
| 1631 |
+
"grad_norm": 0.5190809965133667,
|
| 1632 |
+
"learning_rate": 5.6035719064037446e-06,
|
| 1633 |
+
"loss": 0.2116,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.5177777777777778,
|
| 1638 |
+
"grad_norm": 0.4456705152988434,
|
| 1639 |
+
"learning_rate": 5.56505266374487e-06,
|
| 1640 |
+
"loss": 0.2131,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.52,
|
| 1645 |
+
"grad_norm": 0.7487488985061646,
|
| 1646 |
+
"learning_rate": 5.5264994212793e-06,
|
| 1647 |
+
"loss": 0.2475,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.5222222222222223,
|
| 1652 |
+
"grad_norm": 0.4860404431819916,
|
| 1653 |
+
"learning_rate": 5.487914498795748e-06,
|
| 1654 |
+
"loss": 0.2404,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.5244444444444445,
|
| 1659 |
+
"grad_norm": 0.5812284350395203,
|
| 1660 |
+
"learning_rate": 5.4493002179891455e-06,
|
| 1661 |
+
"loss": 0.2105,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.5266666666666666,
|
| 1666 |
+
"grad_norm": 0.5378413200378418,
|
| 1667 |
+
"learning_rate": 5.410658902320946e-06,
|
| 1668 |
+
"loss": 0.2257,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.5288888888888889,
|
| 1673 |
+
"grad_norm": 0.47278687357902527,
|
| 1674 |
+
"learning_rate": 5.371992876879318e-06,
|
| 1675 |
+
"loss": 0.227,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.5311111111111111,
|
| 1680 |
+
"grad_norm": 0.516788125038147,
|
| 1681 |
+
"learning_rate": 5.333304468239241e-06,
|
| 1682 |
+
"loss": 0.2135,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.5333333333333333,
|
| 1687 |
+
"grad_norm": 0.5576591491699219,
|
| 1688 |
+
"learning_rate": 5.294596004322518e-06,
|
| 1689 |
+
"loss": 0.263,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.5355555555555556,
|
| 1694 |
+
"grad_norm": 0.7135146856307983,
|
| 1695 |
+
"learning_rate": 5.255869814257701e-06,
|
| 1696 |
+
"loss": 0.2276,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.5377777777777778,
|
| 1701 |
+
"grad_norm": 0.6495805978775024,
|
| 1702 |
+
"learning_rate": 5.217128228239934e-06,
|
| 1703 |
+
"loss": 0.236,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.54,
|
| 1708 |
+
"grad_norm": 0.8253788948059082,
|
| 1709 |
+
"learning_rate": 5.178373577390763e-06,
|
| 1710 |
+
"loss": 0.2305,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.5422222222222223,
|
| 1715 |
+
"grad_norm": 0.8396733403205872,
|
| 1716 |
+
"learning_rate": 5.139608193617846e-06,
|
| 1717 |
+
"loss": 0.2433,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.5444444444444444,
|
| 1722 |
+
"grad_norm": 0.6592555046081543,
|
| 1723 |
+
"learning_rate": 5.100834409474661e-06,
|
| 1724 |
+
"loss": 0.2163,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.5466666666666666,
|
| 1729 |
+
"grad_norm": 0.60608971118927,
|
| 1730 |
+
"learning_rate": 5.062054558020145e-06,
|
| 1731 |
+
"loss": 0.2463,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.5488888888888889,
|
| 1736 |
+
"grad_norm": 0.5089678168296814,
|
| 1737 |
+
"learning_rate": 5.0232709726783065e-06,
|
| 1738 |
+
"loss": 0.2316,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.5511111111111111,
|
| 1743 |
+
"grad_norm": 0.49585267901420593,
|
| 1744 |
+
"learning_rate": 4.984485987097829e-06,
|
| 1745 |
+
"loss": 0.218,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.5533333333333333,
|
| 1750 |
+
"grad_norm": 0.48399657011032104,
|
| 1751 |
+
"learning_rate": 4.945701935011651e-06,
|
| 1752 |
+
"loss": 0.2341,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.5555555555555556,
|
| 1757 |
+
"grad_norm": 0.5765243768692017,
|
| 1758 |
+
"learning_rate": 4.906921150096538e-06,
|
| 1759 |
+
"loss": 0.2291,
|
| 1760 |
+
"step": 2500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.5577777777777778,
|
| 1764 |
+
"grad_norm": 0.6511385440826416,
|
| 1765 |
+
"learning_rate": 4.868145965832667e-06,
|
| 1766 |
+
"loss": 0.2011,
|
| 1767 |
+
"step": 2510
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.56,
|
| 1771 |
+
"grad_norm": 0.4851745367050171,
|
| 1772 |
+
"learning_rate": 4.8293787153632245e-06,
|
| 1773 |
+
"loss": 0.2406,
|
| 1774 |
+
"step": 2520
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.5622222222222222,
|
| 1778 |
+
"grad_norm": 0.53596431016922,
|
| 1779 |
+
"learning_rate": 4.7906217313540035e-06,
|
| 1780 |
+
"loss": 0.2127,
|
| 1781 |
+
"step": 2530
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.5644444444444444,
|
| 1785 |
+
"grad_norm": 0.6848158836364746,
|
| 1786 |
+
"learning_rate": 4.751877345853055e-06,
|
| 1787 |
+
"loss": 0.2048,
|
| 1788 |
+
"step": 2540
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.5666666666666667,
|
| 1792 |
+
"grad_norm": 0.7368415594100952,
|
| 1793 |
+
"learning_rate": 4.713147890150372e-06,
|
| 1794 |
+
"loss": 0.2216,
|
| 1795 |
+
"step": 2550
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.5688888888888889,
|
| 1799 |
+
"grad_norm": 0.4864996373653412,
|
| 1800 |
+
"learning_rate": 4.674435694637597e-06,
|
| 1801 |
+
"loss": 0.2239,
|
| 1802 |
+
"step": 2560
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.5711111111111111,
|
| 1806 |
+
"grad_norm": 0.5134068727493286,
|
| 1807 |
+
"learning_rate": 4.635743088667815e-06,
|
| 1808 |
+
"loss": 0.2374,
|
| 1809 |
+
"step": 2570
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.5733333333333334,
|
| 1813 |
+
"grad_norm": 0.4680314064025879,
|
| 1814 |
+
"learning_rate": 4.597072400415383e-06,
|
| 1815 |
+
"loss": 0.2167,
|
| 1816 |
+
"step": 2580
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.5755555555555556,
|
| 1820 |
+
"grad_norm": 0.5015770196914673,
|
| 1821 |
+
"learning_rate": 4.5584259567358505e-06,
|
| 1822 |
+
"loss": 0.2218,
|
| 1823 |
+
"step": 2590
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.5777777777777777,
|
| 1827 |
+
"grad_norm": 0.5194075107574463,
|
| 1828 |
+
"learning_rate": 4.519806083025944e-06,
|
| 1829 |
+
"loss": 0.201,
|
| 1830 |
+
"step": 2600
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.58,
|
| 1834 |
+
"grad_norm": 0.43954020738601685,
|
| 1835 |
+
"learning_rate": 4.481215103083646e-06,
|
| 1836 |
+
"loss": 0.2307,
|
| 1837 |
+
"step": 2610
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.5822222222222222,
|
| 1841 |
+
"grad_norm": 0.6641078591346741,
|
| 1842 |
+
"learning_rate": 4.442655338968373e-06,
|
| 1843 |
+
"loss": 0.2511,
|
| 1844 |
+
"step": 2620
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.5844444444444444,
|
| 1848 |
+
"grad_norm": 0.6749869585037231,
|
| 1849 |
+
"learning_rate": 4.404129110861254e-06,
|
| 1850 |
+
"loss": 0.1974,
|
| 1851 |
+
"step": 2630
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.5866666666666667,
|
| 1855 |
+
"grad_norm": 0.7704310417175293,
|
| 1856 |
+
"learning_rate": 4.365638736925512e-06,
|
| 1857 |
+
"loss": 0.2257,
|
| 1858 |
+
"step": 2640
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.5888888888888889,
|
| 1862 |
+
"grad_norm": 0.7620184421539307,
|
| 1863 |
+
"learning_rate": 4.3271865331670036e-06,
|
| 1864 |
+
"loss": 0.2209,
|
| 1865 |
+
"step": 2650
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.5911111111111111,
|
| 1869 |
+
"grad_norm": 0.6936331987380981,
|
| 1870 |
+
"learning_rate": 4.288774813294833e-06,
|
| 1871 |
+
"loss": 0.2169,
|
| 1872 |
+
"step": 2660
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.5933333333333334,
|
| 1876 |
+
"grad_norm": 0.7116475105285645,
|
| 1877 |
+
"learning_rate": 4.2504058885821515e-06,
|
| 1878 |
+
"loss": 0.237,
|
| 1879 |
+
"step": 2670
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.5955555555555555,
|
| 1883 |
+
"grad_norm": 0.5770586133003235,
|
| 1884 |
+
"learning_rate": 4.212082067727079e-06,
|
| 1885 |
+
"loss": 0.2445,
|
| 1886 |
+
"step": 2680
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 0.5977777777777777,
|
| 1890 |
+
"grad_norm": 0.7257152795791626,
|
| 1891 |
+
"learning_rate": 4.173805656713793e-06,
|
| 1892 |
+
"loss": 0.2176,
|
| 1893 |
+
"step": 2690
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.6,
|
| 1897 |
+
"grad_norm": 0.807619571685791,
|
| 1898 |
+
"learning_rate": 4.13557895867377e-06,
|
| 1899 |
+
"loss": 0.2324,
|
| 1900 |
+
"step": 2700
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 0.6022222222222222,
|
| 1904 |
+
"grad_norm": 0.5045626163482666,
|
| 1905 |
+
"learning_rate": 4.0974042737472005e-06,
|
| 1906 |
+
"loss": 0.2289,
|
| 1907 |
+
"step": 2710
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 0.6044444444444445,
|
| 1911 |
+
"grad_norm": 0.6968899965286255,
|
| 1912 |
+
"learning_rate": 4.0592838989446e-06,
|
| 1913 |
+
"loss": 0.2551,
|
| 1914 |
+
"step": 2720
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.6066666666666667,
|
| 1918 |
+
"grad_norm": 0.7338456511497498,
|
| 1919 |
+
"learning_rate": 4.021220128008584e-06,
|
| 1920 |
+
"loss": 0.2099,
|
| 1921 |
+
"step": 2730
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.6088888888888889,
|
| 1925 |
+
"grad_norm": 0.616070032119751,
|
| 1926 |
+
"learning_rate": 3.983215251275847e-06,
|
| 1927 |
+
"loss": 0.2261,
|
| 1928 |
+
"step": 2740
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 0.6111111111111112,
|
| 1932 |
+
"grad_norm": 0.466467022895813,
|
| 1933 |
+
"learning_rate": 3.945271555539373e-06,
|
| 1934 |
+
"loss": 0.2224,
|
| 1935 |
+
"step": 2750
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.6133333333333333,
|
| 1939 |
+
"grad_norm": 0.7739804983139038,
|
| 1940 |
+
"learning_rate": 3.90739132391081e-06,
|
| 1941 |
+
"loss": 0.2198,
|
| 1942 |
+
"step": 2760
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 0.6155555555555555,
|
| 1946 |
+
"grad_norm": 0.5310224294662476,
|
| 1947 |
+
"learning_rate": 3.869576835683109e-06,
|
| 1948 |
+
"loss": 0.2299,
|
| 1949 |
+
"step": 2770
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 0.6177777777777778,
|
| 1953 |
+
"grad_norm": 0.5864322781562805,
|
| 1954 |
+
"learning_rate": 3.831830366193367e-06,
|
| 1955 |
+
"loss": 0.2031,
|
| 1956 |
+
"step": 2780
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 0.62,
|
| 1960 |
+
"grad_norm": 0.503046989440918,
|
| 1961 |
+
"learning_rate": 3.7941541866859337e-06,
|
| 1962 |
+
"loss": 0.211,
|
| 1963 |
+
"step": 2790
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 0.6222222222222222,
|
| 1967 |
+
"grad_norm": 0.5578895211219788,
|
| 1968 |
+
"learning_rate": 3.756550564175727e-06,
|
| 1969 |
+
"loss": 0.1965,
|
| 1970 |
+
"step": 2800
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.6244444444444445,
|
| 1974 |
+
"grad_norm": 0.5403327345848083,
|
| 1975 |
+
"learning_rate": 3.7190217613118385e-06,
|
| 1976 |
+
"loss": 0.249,
|
| 1977 |
+
"step": 2810
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.6266666666666667,
|
| 1981 |
+
"grad_norm": 0.48486825823783875,
|
| 1982 |
+
"learning_rate": 3.6815700362413855e-06,
|
| 1983 |
+
"loss": 0.2194,
|
| 1984 |
+
"step": 2820
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 0.6288888888888889,
|
| 1988 |
+
"grad_norm": 1.0061817169189453,
|
| 1989 |
+
"learning_rate": 3.6441976424736315e-06,
|
| 1990 |
+
"loss": 0.2367,
|
| 1991 |
+
"step": 2830
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 0.6311111111111111,
|
| 1995 |
+
"grad_norm": 0.6847549676895142,
|
| 1996 |
+
"learning_rate": 3.6069068287443932e-06,
|
| 1997 |
+
"loss": 0.2228,
|
| 1998 |
+
"step": 2840
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 0.6333333333333333,
|
| 2002 |
+
"grad_norm": 0.6903135180473328,
|
| 2003 |
+
"learning_rate": 3.569699838880735e-06,
|
| 2004 |
+
"loss": 0.2257,
|
| 2005 |
+
"step": 2850
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 0.6355555555555555,
|
| 2009 |
+
"grad_norm": 0.5248664021492004,
|
| 2010 |
+
"learning_rate": 3.5325789116659493e-06,
|
| 2011 |
+
"loss": 0.215,
|
| 2012 |
+
"step": 2860
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 0.6377777777777778,
|
| 2016 |
+
"grad_norm": 0.6344507932662964,
|
| 2017 |
+
"learning_rate": 3.495546280704849e-06,
|
| 2018 |
+
"loss": 0.2207,
|
| 2019 |
+
"step": 2870
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.64,
|
| 2023 |
+
"grad_norm": 0.6156448125839233,
|
| 2024 |
+
"learning_rate": 3.458604174289367e-06,
|
| 2025 |
+
"loss": 0.2032,
|
| 2026 |
+
"step": 2880
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.6422222222222222,
|
| 2030 |
+
"grad_norm": 0.5697433948516846,
|
| 2031 |
+
"learning_rate": 3.4217548152644887e-06,
|
| 2032 |
+
"loss": 0.2092,
|
| 2033 |
+
"step": 2890
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 0.6444444444444445,
|
| 2037 |
+
"grad_norm": 0.7283775806427002,
|
| 2038 |
+
"learning_rate": 3.3850004208944838e-06,
|
| 2039 |
+
"loss": 0.2349,
|
| 2040 |
+
"step": 2900
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 0.6466666666666666,
|
| 2044 |
+
"grad_norm": 0.6243658065795898,
|
| 2045 |
+
"learning_rate": 3.3483432027295025e-06,
|
| 2046 |
+
"loss": 0.2526,
|
| 2047 |
+
"step": 2910
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 0.6488888888888888,
|
| 2051 |
+
"grad_norm": 0.6870917677879333,
|
| 2052 |
+
"learning_rate": 3.311785366472506e-06,
|
| 2053 |
+
"loss": 0.2163,
|
| 2054 |
+
"step": 2920
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 0.6511111111111111,
|
| 2058 |
+
"grad_norm": 0.5320258736610413,
|
| 2059 |
+
"learning_rate": 3.275329111846536e-06,
|
| 2060 |
+
"loss": 0.2186,
|
| 2061 |
+
"step": 2930
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.6533333333333333,
|
| 2065 |
+
"grad_norm": 0.7291749715805054,
|
| 2066 |
+
"learning_rate": 3.238976632462364e-06,
|
| 2067 |
+
"loss": 0.2464,
|
| 2068 |
+
"step": 2940
|
| 2069 |
+
},
|
| 2070 |
+
{
|
| 2071 |
+
"epoch": 0.6555555555555556,
|
| 2072 |
+
"grad_norm": 0.7033562660217285,
|
| 2073 |
+
"learning_rate": 3.2027301156865015e-06,
|
| 2074 |
+
"loss": 0.233,
|
| 2075 |
+
"step": 2950
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 0.6577777777777778,
|
| 2079 |
+
"grad_norm": 0.6965799331665039,
|
| 2080 |
+
"learning_rate": 3.166591742509575e-06,
|
| 2081 |
+
"loss": 0.2112,
|
| 2082 |
+
"step": 2960
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 0.66,
|
| 2086 |
+
"grad_norm": 0.5640952587127686,
|
| 2087 |
+
"learning_rate": 3.130563687415098e-06,
|
| 2088 |
+
"loss": 0.243,
|
| 2089 |
+
"step": 2970
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 0.6622222222222223,
|
| 2093 |
+
"grad_norm": 0.4882139265537262,
|
| 2094 |
+
"learning_rate": 3.09464811824863e-06,
|
| 2095 |
+
"loss": 0.2196,
|
| 2096 |
+
"step": 2980
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 0.6644444444444444,
|
| 2100 |
+
"grad_norm": 0.3836524486541748,
|
| 2101 |
+
"learning_rate": 3.05884719608734e-06,
|
| 2102 |
+
"loss": 0.2346,
|
| 2103 |
+
"step": 2990
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 0.6666666666666666,
|
| 2107 |
+
"grad_norm": 0.6721084117889404,
|
| 2108 |
+
"learning_rate": 3.0231630751099628e-06,
|
| 2109 |
+
"loss": 0.2429,
|
| 2110 |
+
"step": 3000
|
| 2111 |
+
},
|
| 2112 |
+
{
|
| 2113 |
+
"epoch": 0.6688888888888889,
|
| 2114 |
+
"grad_norm": 0.6006462574005127,
|
| 2115 |
+
"learning_rate": 2.9875979024671846e-06,
|
| 2116 |
+
"loss": 0.2472,
|
| 2117 |
+
"step": 3010
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 0.6711111111111111,
|
| 2121 |
+
"grad_norm": 0.5289439558982849,
|
| 2122 |
+
"learning_rate": 2.9521538181524497e-06,
|
| 2123 |
+
"loss": 0.2321,
|
| 2124 |
+
"step": 3020
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 0.6733333333333333,
|
| 2128 |
+
"grad_norm": 0.6664814352989197,
|
| 2129 |
+
"learning_rate": 2.9168329548731873e-06,
|
| 2130 |
+
"loss": 0.2245,
|
| 2131 |
+
"step": 3030
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 0.6755555555555556,
|
| 2135 |
+
"grad_norm": 0.6002072095870972,
|
| 2136 |
+
"learning_rate": 2.8816374379224932e-06,
|
| 2137 |
+
"loss": 0.253,
|
| 2138 |
+
"step": 3040
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 0.6777777777777778,
|
| 2142 |
+
"grad_norm": 0.6766952276229858,
|
| 2143 |
+
"learning_rate": 2.846569385051241e-06,
|
| 2144 |
+
"loss": 0.2442,
|
| 2145 |
+
"step": 3050
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 0.68,
|
| 2149 |
+
"grad_norm": 0.5962438583374023,
|
| 2150 |
+
"learning_rate": 2.8116309063406593e-06,
|
| 2151 |
+
"loss": 0.2275,
|
| 2152 |
+
"step": 3060
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 0.6822222222222222,
|
| 2156 |
+
"grad_norm": 0.5721535086631775,
|
| 2157 |
+
"learning_rate": 2.776824104075364e-06,
|
| 2158 |
+
"loss": 0.1964,
|
| 2159 |
+
"step": 3070
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 0.6844444444444444,
|
| 2163 |
+
"grad_norm": 1.182945728302002,
|
| 2164 |
+
"learning_rate": 2.742151072616861e-06,
|
| 2165 |
+
"loss": 0.2401,
|
| 2166 |
+
"step": 3080
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 0.6866666666666666,
|
| 2170 |
+
"grad_norm": 0.6877291202545166,
|
| 2171 |
+
"learning_rate": 2.707613898277533e-06,
|
| 2172 |
+
"loss": 0.2249,
|
| 2173 |
+
"step": 3090
|
| 2174 |
+
},
|
| 2175 |
+
{
|
| 2176 |
+
"epoch": 0.6888888888888889,
|
| 2177 |
+
"grad_norm": 0.5899962782859802,
|
| 2178 |
+
"learning_rate": 2.6732146591950924e-06,
|
| 2179 |
+
"loss": 0.2354,
|
| 2180 |
+
"step": 3100
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 0.6911111111111111,
|
| 2184 |
+
"grad_norm": 0.8089621067047119,
|
| 2185 |
+
"learning_rate": 2.638955425207545e-06,
|
| 2186 |
+
"loss": 0.2466,
|
| 2187 |
+
"step": 3110
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 0.6933333333333334,
|
| 2191 |
+
"grad_norm": 1.802108883857727,
|
| 2192 |
+
"learning_rate": 2.604838257728648e-06,
|
| 2193 |
+
"loss": 0.2209,
|
| 2194 |
+
"step": 3120
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 0.6955555555555556,
|
| 2198 |
+
"grad_norm": 0.5903416872024536,
|
| 2199 |
+
"learning_rate": 2.5708652096238674e-06,
|
| 2200 |
+
"loss": 0.2174,
|
| 2201 |
+
"step": 3130
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 0.6977777777777778,
|
| 2205 |
+
"grad_norm": 0.7151070237159729,
|
| 2206 |
+
"learning_rate": 2.5370383250868493e-06,
|
| 2207 |
+
"loss": 0.2392,
|
| 2208 |
+
"step": 3140
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 0.7,
|
| 2212 |
+
"grad_norm": 0.5183787941932678,
|
| 2213 |
+
"learning_rate": 2.503359639516437e-06,
|
| 2214 |
+
"loss": 0.229,
|
| 2215 |
+
"step": 3150
|
| 2216 |
+
},
|
| 2217 |
+
{
|
| 2218 |
+
"epoch": 0.7022222222222222,
|
| 2219 |
+
"grad_norm": 0.4839763045310974,
|
| 2220 |
+
"learning_rate": 2.469831179394182e-06,
|
| 2221 |
+
"loss": 0.2331,
|
| 2222 |
+
"step": 3160
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 0.7044444444444444,
|
| 2226 |
+
"grad_norm": 0.6388260722160339,
|
| 2227 |
+
"learning_rate": 2.4364549621624124e-06,
|
| 2228 |
+
"loss": 0.2457,
|
| 2229 |
+
"step": 3170
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 0.7066666666666667,
|
| 2233 |
+
"grad_norm": 1.7699531316757202,
|
| 2234 |
+
"learning_rate": 2.40323299610285e-06,
|
| 2235 |
+
"loss": 0.2145,
|
| 2236 |
+
"step": 3180
|
| 2237 |
+
},
|
| 2238 |
+
{
|
| 2239 |
+
"epoch": 0.7088888888888889,
|
| 2240 |
+
"grad_norm": 0.7154451608657837,
|
| 2241 |
+
"learning_rate": 2.3701672802157567e-06,
|
| 2242 |
+
"loss": 0.2346,
|
| 2243 |
+
"step": 3190
|
| 2244 |
+
},
|
| 2245 |
+
{
|
| 2246 |
+
"epoch": 0.7111111111111111,
|
| 2247 |
+
"grad_norm": 0.649513840675354,
|
| 2248 |
+
"learning_rate": 2.3372598040996614e-06,
|
| 2249 |
+
"loss": 0.2329,
|
| 2250 |
+
"step": 3200
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 0.7133333333333334,
|
| 2254 |
+
"grad_norm": 1.1018325090408325,
|
| 2255 |
+
"learning_rate": 2.304512547831639e-06,
|
| 2256 |
+
"loss": 0.2247,
|
| 2257 |
+
"step": 3210
|
| 2258 |
+
},
|
| 2259 |
+
{
|
| 2260 |
+
"epoch": 0.7155555555555555,
|
| 2261 |
+
"grad_norm": 0.6996004581451416,
|
| 2262 |
+
"learning_rate": 2.2719274818481767e-06,
|
| 2263 |
+
"loss": 0.2366,
|
| 2264 |
+
"step": 3220
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 0.7177777777777777,
|
| 2268 |
+
"grad_norm": 0.5865346193313599,
|
| 2269 |
+
"learning_rate": 2.2395065668265943e-06,
|
| 2270 |
+
"loss": 0.255,
|
| 2271 |
+
"step": 3230
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 0.72,
|
| 2275 |
+
"grad_norm": 0.744001567363739,
|
| 2276 |
+
"learning_rate": 2.2072517535670795e-06,
|
| 2277 |
+
"loss": 0.2356,
|
| 2278 |
+
"step": 3240
|
| 2279 |
+
},
|
| 2280 |
+
{
|
| 2281 |
+
"epoch": 0.7222222222222222,
|
| 2282 |
+
"grad_norm": 0.5543341040611267,
|
| 2283 |
+
"learning_rate": 2.175164982875311e-06,
|
| 2284 |
+
"loss": 0.2355,
|
| 2285 |
+
"step": 3250
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 0.7244444444444444,
|
| 2289 |
+
"grad_norm": 0.5818354487419128,
|
| 2290 |
+
"learning_rate": 2.1432481854456645e-06,
|
| 2291 |
+
"loss": 0.2191,
|
| 2292 |
+
"step": 3260
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 0.7266666666666667,
|
| 2296 |
+
"grad_norm": 0.4707711637020111,
|
| 2297 |
+
"learning_rate": 2.1115032817450476e-06,
|
| 2298 |
+
"loss": 0.2363,
|
| 2299 |
+
"step": 3270
|
| 2300 |
+
},
|
| 2301 |
+
{
|
| 2302 |
+
"epoch": 0.7288888888888889,
|
| 2303 |
+
"grad_norm": 0.7600942850112915,
|
| 2304 |
+
"learning_rate": 2.0799321818973488e-06,
|
| 2305 |
+
"loss": 0.246,
|
| 2306 |
+
"step": 3280
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 0.7311111111111112,
|
| 2310 |
+
"grad_norm": 0.8043562173843384,
|
| 2311 |
+
"learning_rate": 2.0485367855684932e-06,
|
| 2312 |
+
"loss": 0.2218,
|
| 2313 |
+
"step": 3290
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 0.7333333333333333,
|
| 2317 |
+
"grad_norm": 0.7840522527694702,
|
| 2318 |
+
"learning_rate": 2.0173189818521442e-06,
|
| 2319 |
+
"loss": 0.2212,
|
| 2320 |
+
"step": 3300
|
| 2321 |
+
},
|
| 2322 |
+
{
|
| 2323 |
+
"epoch": 0.7355555555555555,
|
| 2324 |
+
"grad_norm": 0.679488480091095,
|
| 2325 |
+
"learning_rate": 1.9862806491560315e-06,
|
| 2326 |
+
"loss": 0.2597,
|
| 2327 |
+
"step": 3310
|
| 2328 |
+
},
|
| 2329 |
+
{
|
| 2330 |
+
"epoch": 0.7377777777777778,
|
| 2331 |
+
"grad_norm": 1.9832565784454346,
|
| 2332 |
+
"learning_rate": 1.955423655088928e-06,
|
| 2333 |
+
"loss": 0.2315,
|
| 2334 |
+
"step": 3320
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 0.74,
|
| 2338 |
+
"grad_norm": 0.7567440271377563,
|
| 2339 |
+
"learning_rate": 1.9247498563482724e-06,
|
| 2340 |
+
"loss": 0.2135,
|
| 2341 |
+
"step": 3330
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"epoch": 0.7422222222222222,
|
| 2345 |
+
"grad_norm": 0.6107955574989319,
|
| 2346 |
+
"learning_rate": 1.8942610986084487e-06,
|
| 2347 |
+
"loss": 0.2125,
|
| 2348 |
+
"step": 3340
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 0.7444444444444445,
|
| 2352 |
+
"grad_norm": 0.9295490980148315,
|
| 2353 |
+
"learning_rate": 1.8639592164097348e-06,
|
| 2354 |
+
"loss": 0.216,
|
| 2355 |
+
"step": 3350
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 0.7466666666666667,
|
| 2359 |
+
"grad_norm": 0.6072530746459961,
|
| 2360 |
+
"learning_rate": 1.8338460330479102e-06,
|
| 2361 |
+
"loss": 0.2177,
|
| 2362 |
+
"step": 3360
|
| 2363 |
+
},
|
| 2364 |
+
{
|
| 2365 |
+
"epoch": 0.7488888888888889,
|
| 2366 |
+
"grad_norm": 0.6220813393592834,
|
| 2367 |
+
"learning_rate": 1.8039233604645468e-06,
|
| 2368 |
+
"loss": 0.2192,
|
| 2369 |
+
"step": 3370
|
| 2370 |
+
},
|
| 2371 |
+
{
|
| 2372 |
+
"epoch": 0.7511111111111111,
|
| 2373 |
+
"grad_norm": 1.2467488050460815,
|
| 2374 |
+
"learning_rate": 1.7741929991379914e-06,
|
| 2375 |
+
"loss": 0.217,
|
| 2376 |
+
"step": 3380
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 0.7533333333333333,
|
| 2380 |
+
"grad_norm": 0.45881083607673645,
|
| 2381 |
+
"learning_rate": 1.7446567379750167e-06,
|
| 2382 |
+
"loss": 0.2528,
|
| 2383 |
+
"step": 3390
|
| 2384 |
+
},
|
| 2385 |
+
{
|
| 2386 |
+
"epoch": 0.7555555555555555,
|
| 2387 |
+
"grad_norm": 0.4624572992324829,
|
| 2388 |
+
"learning_rate": 1.7153163542031881e-06,
|
| 2389 |
+
"loss": 0.2287,
|
| 2390 |
+
"step": 3400
|
| 2391 |
+
},
|
| 2392 |
+
{
|
| 2393 |
+
"epoch": 0.7577777777777778,
|
| 2394 |
+
"grad_norm": 0.6549725532531738,
|
| 2395 |
+
"learning_rate": 1.686173613263925e-06,
|
| 2396 |
+
"loss": 0.2085,
|
| 2397 |
+
"step": 3410
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 0.76,
|
| 2401 |
+
"grad_norm": 1.2874345779418945,
|
| 2402 |
+
"learning_rate": 1.6572302687062718e-06,
|
| 2403 |
+
"loss": 0.2186,
|
| 2404 |
+
"step": 3420
|
| 2405 |
+
},
|
| 2406 |
+
{
|
| 2407 |
+
"epoch": 0.7622222222222222,
|
| 2408 |
+
"grad_norm": 0.5766834616661072,
|
| 2409 |
+
"learning_rate": 1.6284880620813847e-06,
|
| 2410 |
+
"loss": 0.2193,
|
| 2411 |
+
"step": 3430
|
| 2412 |
+
},
|
| 2413 |
+
{
|
| 2414 |
+
"epoch": 0.7644444444444445,
|
| 2415 |
+
"grad_norm": 0.8272707462310791,
|
| 2416 |
+
"learning_rate": 1.5999487228377398e-06,
|
| 2417 |
+
"loss": 0.2367,
|
| 2418 |
+
"step": 3440
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 0.7666666666666667,
|
| 2422 |
+
"grad_norm": 0.8264459371566772,
|
| 2423 |
+
"learning_rate": 1.5716139682170778e-06,
|
| 2424 |
+
"loss": 0.2349,
|
| 2425 |
+
"step": 3450
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 0.7688888888888888,
|
| 2429 |
+
"grad_norm": 0.7468411922454834,
|
| 2430 |
+
"learning_rate": 1.5434855031510626e-06,
|
| 2431 |
+
"loss": 0.2352,
|
| 2432 |
+
"step": 3460
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 0.7711111111111111,
|
| 2436 |
+
"grad_norm": 0.8860440254211426,
|
| 2437 |
+
"learning_rate": 1.515565020158703e-06,
|
| 2438 |
+
"loss": 0.2152,
|
| 2439 |
+
"step": 3470
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 0.7733333333333333,
|
| 2443 |
+
"grad_norm": 0.9292101860046387,
|
| 2444 |
+
"learning_rate": 1.4878541992445144e-06,
|
| 2445 |
+
"loss": 0.2208,
|
| 2446 |
+
"step": 3480
|
| 2447 |
+
},
|
| 2448 |
+
{
|
| 2449 |
+
"epoch": 0.7755555555555556,
|
| 2450 |
+
"grad_norm": 0.6765230298042297,
|
| 2451 |
+
"learning_rate": 1.4603547077974217e-06,
|
| 2452 |
+
"loss": 0.2259,
|
| 2453 |
+
"step": 3490
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 0.7777777777777778,
|
| 2457 |
+
"grad_norm": 0.6336573362350464,
|
| 2458 |
+
"learning_rate": 1.4330682004904367e-06,
|
| 2459 |
+
"loss": 0.2117,
|
| 2460 |
+
"step": 3500
|
| 2461 |
+
},
|
| 2462 |
+
{
|
| 2463 |
+
"epoch": 0.78,
|
| 2464 |
+
"grad_norm": 0.6666709184646606,
|
| 2465 |
+
"learning_rate": 1.4059963191810955e-06,
|
| 2466 |
+
"loss": 0.2341,
|
| 2467 |
+
"step": 3510
|
| 2468 |
+
},
|
| 2469 |
+
{
|
| 2470 |
+
"epoch": 0.7822222222222223,
|
| 2471 |
+
"grad_norm": 0.6277806162834167,
|
| 2472 |
+
"learning_rate": 1.3791406928126638e-06,
|
| 2473 |
+
"loss": 0.2307,
|
| 2474 |
+
"step": 3520
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 0.7844444444444445,
|
| 2478 |
+
"grad_norm": 0.8261449933052063,
|
| 2479 |
+
"learning_rate": 1.352502937316122e-06,
|
| 2480 |
+
"loss": 0.207,
|
| 2481 |
+
"step": 3530
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 0.7866666666666666,
|
| 2485 |
+
"grad_norm": 0.808182418346405,
|
| 2486 |
+
"learning_rate": 1.3260846555129325e-06,
|
| 2487 |
+
"loss": 0.2428,
|
| 2488 |
+
"step": 3540
|
| 2489 |
+
},
|
| 2490 |
+
{
|
| 2491 |
+
"epoch": 0.7888888888888889,
|
| 2492 |
+
"grad_norm": 0.6502374410629272,
|
| 2493 |
+
"learning_rate": 1.2998874370186026e-06,
|
| 2494 |
+
"loss": 0.2203,
|
| 2495 |
+
"step": 3550
|
| 2496 |
+
},
|
| 2497 |
+
{
|
| 2498 |
+
"epoch": 0.7911111111111111,
|
| 2499 |
+
"grad_norm": 0.6424347758293152,
|
| 2500 |
+
"learning_rate": 1.273912858147024e-06,
|
| 2501 |
+
"loss": 0.2308,
|
| 2502 |
+
"step": 3560
|
| 2503 |
+
},
|
| 2504 |
+
{
|
| 2505 |
+
"epoch": 0.7933333333333333,
|
| 2506 |
+
"grad_norm": 0.8087573051452637,
|
| 2507 |
+
"learning_rate": 1.2481624818156319e-06,
|
| 2508 |
+
"loss": 0.2193,
|
| 2509 |
+
"step": 3570
|
| 2510 |
+
},
|
| 2511 |
+
{
|
| 2512 |
+
"epoch": 0.7955555555555556,
|
| 2513 |
+
"grad_norm": 1.0368999242782593,
|
| 2514 |
+
"learning_rate": 1.2226378574513654e-06,
|
| 2515 |
+
"loss": 0.2269,
|
| 2516 |
+
"step": 3580
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 0.7977777777777778,
|
| 2520 |
+
"grad_norm": 0.6648699045181274,
|
| 2521 |
+
"learning_rate": 1.1973405208974282e-06,
|
| 2522 |
+
"loss": 0.1956,
|
| 2523 |
+
"step": 3590
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 0.8,
|
| 2527 |
+
"grad_norm": 0.8443555235862732,
|
| 2528 |
+
"learning_rate": 1.1722719943208822e-06,
|
| 2529 |
+
"loss": 0.2116,
|
| 2530 |
+
"step": 3600
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 0.8022222222222222,
|
| 2534 |
+
"grad_norm": 0.6978488564491272,
|
| 2535 |
+
"learning_rate": 1.1474337861210543e-06,
|
| 2536 |
+
"loss": 0.222,
|
| 2537 |
+
"step": 3610
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 0.8044444444444444,
|
| 2541 |
+
"grad_norm": 0.6660436391830444,
|
| 2542 |
+
"learning_rate": 1.1228273908387756e-06,
|
| 2543 |
+
"loss": 0.2435,
|
| 2544 |
+
"step": 3620
|
| 2545 |
+
},
|
| 2546 |
+
{
|
| 2547 |
+
"epoch": 0.8066666666666666,
|
| 2548 |
+
"grad_norm": 0.7070465087890625,
|
| 2549 |
+
"learning_rate": 1.0984542890664513e-06,
|
| 2550 |
+
"loss": 0.2608,
|
| 2551 |
+
"step": 3630
|
| 2552 |
+
},
|
| 2553 |
+
{
|
| 2554 |
+
"epoch": 0.8088888888888889,
|
| 2555 |
+
"grad_norm": 1.1687719821929932,
|
| 2556 |
+
"learning_rate": 1.0743159473589738e-06,
|
| 2557 |
+
"loss": 0.2203,
|
| 2558 |
+
"step": 3640
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 0.8111111111111111,
|
| 2562 |
+
"grad_norm": 0.6448286175727844,
|
| 2563 |
+
"learning_rate": 1.050413818145481e-06,
|
| 2564 |
+
"loss": 0.2103,
|
| 2565 |
+
"step": 3650
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 0.8133333333333334,
|
| 2569 |
+
"grad_norm": 0.8359683156013489,
|
| 2570 |
+
"learning_rate": 1.0267493396419559e-06,
|
| 2571 |
+
"loss": 0.2171,
|
| 2572 |
+
"step": 3660
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 0.8155555555555556,
|
| 2576 |
+
"grad_norm": 0.9623379111289978,
|
| 2577 |
+
"learning_rate": 1.0033239357646913e-06,
|
| 2578 |
+
"loss": 0.2368,
|
| 2579 |
+
"step": 3670
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 0.8177777777777778,
|
| 2583 |
+
"grad_norm": 1.1580039262771606,
|
| 2584 |
+
"learning_rate": 9.801390160446135e-07,
|
| 2585 |
+
"loss": 0.2174,
|
| 2586 |
+
"step": 3680
|
| 2587 |
+
},
|
| 2588 |
+
{
|
| 2589 |
+
"epoch": 0.82,
|
| 2590 |
+
"grad_norm": 0.7610867023468018,
|
| 2591 |
+
"learning_rate": 9.571959755424643e-07,
|
| 2592 |
+
"loss": 0.2394,
|
| 2593 |
+
"step": 3690
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 0.8222222222222222,
|
| 2597 |
+
"grad_norm": 0.9653570652008057,
|
| 2598 |
+
"learning_rate": 9.344961947648624e-07,
|
| 2599 |
+
"loss": 0.215,
|
| 2600 |
+
"step": 3700
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 0.8244444444444444,
|
| 2604 |
+
"grad_norm": 0.7693958282470703,
|
| 2605 |
+
"learning_rate": 9.120410395812346e-07,
|
| 2606 |
+
"loss": 0.2295,
|
| 2607 |
+
"step": 3710
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 0.8266666666666667,
|
| 2611 |
+
"grad_norm": 1.1095337867736816,
|
| 2612 |
+
"learning_rate": 8.898318611416329e-07,
|
| 2613 |
+
"loss": 0.2306,
|
| 2614 |
+
"step": 3720
|
| 2615 |
+
},
|
| 2616 |
+
{
|
| 2617 |
+
"epoch": 0.8288888888888889,
|
| 2618 |
+
"grad_norm": 0.956220805644989,
|
| 2619 |
+
"learning_rate": 8.678699957954323e-07,
|
| 2620 |
+
"loss": 0.2167,
|
| 2621 |
+
"step": 3730
|
| 2622 |
+
},
|
| 2623 |
+
{
|
| 2624 |
+
"epoch": 0.8311111111111111,
|
| 2625 |
+
"grad_norm": 0.5566705465316772,
|
| 2626 |
+
"learning_rate": 8.461567650109187e-07,
|
| 2627 |
+
"loss": 0.224,
|
| 2628 |
+
"step": 3740
|
| 2629 |
+
},
|
| 2630 |
+
{
|
| 2631 |
+
"epoch": 0.8333333333333334,
|
| 2632 |
+
"grad_norm": 0.8079343438148499,
|
| 2633 |
+
"learning_rate": 8.246934752957835e-07,
|
| 2634 |
+
"loss": 0.2318,
|
| 2635 |
+
"step": 3750
|
| 2636 |
+
},
|
| 2637 |
+
{
|
| 2638 |
+
"epoch": 0.8355555555555556,
|
| 2639 |
+
"grad_norm": 0.6054255366325378,
|
| 2640 |
+
"learning_rate": 8.034814181184996e-07,
|
| 2641 |
+
"loss": 0.1978,
|
| 2642 |
+
"step": 3760
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 0.8377777777777777,
|
| 2646 |
+
"grad_norm": 0.8135355114936829,
|
| 2647 |
+
"learning_rate": 7.825218698306164e-07,
|
| 2648 |
+
"loss": 0.2306,
|
| 2649 |
+
"step": 3770
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 0.84,
|
| 2653 |
+
"grad_norm": 0.7578747272491455,
|
| 2654 |
+
"learning_rate": 7.618160915899641e-07,
|
| 2655 |
+
"loss": 0.222,
|
| 2656 |
+
"step": 3780
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 0.8422222222222222,
|
| 2660 |
+
"grad_norm": 1.038500189781189,
|
| 2661 |
+
"learning_rate": 7.413653292847617e-07,
|
| 2662 |
+
"loss": 0.2112,
|
| 2663 |
+
"step": 3790
|
| 2664 |
+
},
|
| 2665 |
+
{
|
| 2666 |
+
"epoch": 0.8444444444444444,
|
| 2667 |
+
"grad_norm": 0.9095117449760437,
|
| 2668 |
+
"learning_rate": 7.211708134586565e-07,
|
| 2669 |
+
"loss": 0.2598,
|
| 2670 |
+
"step": 3800
|
| 2671 |
+
},
|
| 2672 |
+
{
|
| 2673 |
+
"epoch": 0.8466666666666667,
|
| 2674 |
+
"grad_norm": 0.7200757265090942,
|
| 2675 |
+
"learning_rate": 7.012337592366764e-07,
|
| 2676 |
+
"loss": 0.2399,
|
| 2677 |
+
"step": 3810
|
| 2678 |
+
},
|
| 2679 |
+
{
|
| 2680 |
+
"epoch": 0.8488888888888889,
|
| 2681 |
+
"grad_norm": 0.8625208735466003,
|
| 2682 |
+
"learning_rate": 6.815553662521185e-07,
|
| 2683 |
+
"loss": 0.2323,
|
| 2684 |
+
"step": 3820
|
| 2685 |
+
},
|
| 2686 |
+
{
|
| 2687 |
+
"epoch": 0.8511111111111112,
|
| 2688 |
+
"grad_norm": 0.47625356912612915,
|
| 2689 |
+
"learning_rate": 6.621368185743626e-07,
|
| 2690 |
+
"loss": 0.2349,
|
| 2691 |
+
"step": 3830
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 0.8533333333333334,
|
| 2695 |
+
"grad_norm": 1.0169074535369873,
|
| 2696 |
+
"learning_rate": 6.429792846376259e-07,
|
| 2697 |
+
"loss": 0.2107,
|
| 2698 |
+
"step": 3840
|
| 2699 |
+
},
|
| 2700 |
+
{
|
| 2701 |
+
"epoch": 0.8555555555555555,
|
| 2702 |
+
"grad_norm": 1.0716207027435303,
|
| 2703 |
+
"learning_rate": 6.240839171706608e-07,
|
| 2704 |
+
"loss": 0.2402,
|
| 2705 |
+
"step": 3850
|
| 2706 |
+
},
|
| 2707 |
+
{
|
| 2708 |
+
"epoch": 0.8577777777777778,
|
| 2709 |
+
"grad_norm": 0.856113851070404,
|
| 2710 |
+
"learning_rate": 6.054518531273861e-07,
|
| 2711 |
+
"loss": 0.213,
|
| 2712 |
+
"step": 3860
|
| 2713 |
+
},
|
| 2714 |
+
{
|
| 2715 |
+
"epoch": 0.86,
|
| 2716 |
+
"grad_norm": 0.8451377749443054,
|
| 2717 |
+
"learning_rate": 5.870842136184807e-07,
|
| 2718 |
+
"loss": 0.2042,
|
| 2719 |
+
"step": 3870
|
| 2720 |
+
},
|
| 2721 |
+
{
|
| 2722 |
+
"epoch": 0.8622222222222222,
|
| 2723 |
+
"grad_norm": 0.897478461265564,
|
| 2724 |
+
"learning_rate": 5.689821038439264e-07,
|
| 2725 |
+
"loss": 0.2422,
|
| 2726 |
+
"step": 3880
|
| 2727 |
+
},
|
| 2728 |
+
{
|
| 2729 |
+
"epoch": 0.8644444444444445,
|
| 2730 |
+
"grad_norm": 0.956400454044342,
|
| 2731 |
+
"learning_rate": 5.51146613026502e-07,
|
| 2732 |
+
"loss": 0.1987,
|
| 2733 |
+
"step": 3890
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 0.8666666666666667,
|
| 2737 |
+
"grad_norm": 1.6359968185424805,
|
| 2738 |
+
"learning_rate": 5.335788143462472e-07,
|
| 2739 |
+
"loss": 0.2343,
|
| 2740 |
+
"step": 3900
|
| 2741 |
+
},
|
| 2742 |
+
{
|
| 2743 |
+
"epoch": 0.8688888888888889,
|
| 2744 |
+
"grad_norm": 0.6755963563919067,
|
| 2745 |
+
"learning_rate": 5.162797648758877e-07,
|
| 2746 |
+
"loss": 0.2159,
|
| 2747 |
+
"step": 3910
|
| 2748 |
+
},
|
| 2749 |
+
{
|
| 2750 |
+
"epoch": 0.8711111111111111,
|
| 2751 |
+
"grad_norm": 1.2626124620437622,
|
| 2752 |
+
"learning_rate": 4.992505055172287e-07,
|
| 2753 |
+
"loss": 0.1967,
|
| 2754 |
+
"step": 3920
|
| 2755 |
+
},
|
| 2756 |
+
{
|
| 2757 |
+
"epoch": 0.8733333333333333,
|
| 2758 |
+
"grad_norm": 0.9154727458953857,
|
| 2759 |
+
"learning_rate": 4.824920609385242e-07,
|
| 2760 |
+
"loss": 0.2158,
|
| 2761 |
+
"step": 3930
|
| 2762 |
+
},
|
| 2763 |
+
{
|
| 2764 |
+
"epoch": 0.8755555555555555,
|
| 2765 |
+
"grad_norm": 0.5624186396598816,
|
| 2766 |
+
"learning_rate": 4.6600543951281995e-07,
|
| 2767 |
+
"loss": 0.2359,
|
| 2768 |
+
"step": 3940
|
| 2769 |
+
},
|
| 2770 |
+
{
|
| 2771 |
+
"epoch": 0.8777777777777778,
|
| 2772 |
+
"grad_norm": 0.7864906191825867,
|
| 2773 |
+
"learning_rate": 4.4979163325728324e-07,
|
| 2774 |
+
"loss": 0.2361,
|
| 2775 |
+
"step": 3950
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 0.88,
|
| 2779 |
+
"grad_norm": 0.7543439269065857,
|
| 2780 |
+
"learning_rate": 4.3385161777350527e-07,
|
| 2781 |
+
"loss": 0.2337,
|
| 2782 |
+
"step": 3960
|
| 2783 |
+
},
|
| 2784 |
+
{
|
| 2785 |
+
"epoch": 0.8822222222222222,
|
| 2786 |
+
"grad_norm": 0.686770498752594,
|
| 2787 |
+
"learning_rate": 4.1818635218880186e-07,
|
| 2788 |
+
"loss": 0.2451,
|
| 2789 |
+
"step": 3970
|
| 2790 |
+
},
|
| 2791 |
+
{
|
| 2792 |
+
"epoch": 0.8844444444444445,
|
| 2793 |
+
"grad_norm": 0.6183385848999023,
|
| 2794 |
+
"learning_rate": 4.027967790985038e-07,
|
| 2795 |
+
"loss": 0.2168,
|
| 2796 |
+
"step": 3980
|
| 2797 |
+
},
|
| 2798 |
+
{
|
| 2799 |
+
"epoch": 0.8866666666666667,
|
| 2800 |
+
"grad_norm": 0.7445261478424072,
|
| 2801 |
+
"learning_rate": 3.876838245092357e-07,
|
| 2802 |
+
"loss": 0.25,
|
| 2803 |
+
"step": 3990
|
| 2804 |
+
},
|
| 2805 |
+
{
|
| 2806 |
+
"epoch": 0.8888888888888888,
|
| 2807 |
+
"grad_norm": 0.6854656934738159,
|
| 2808 |
+
"learning_rate": 3.728483977831998e-07,
|
| 2809 |
+
"loss": 0.221,
|
| 2810 |
+
"step": 4000
|
| 2811 |
+
}
|
| 2812 |
+
],
|
| 2813 |
+
"logging_steps": 10,
|
| 2814 |
+
"max_steps": 4500,
|
| 2815 |
+
"num_input_tokens_seen": 0,
|
| 2816 |
+
"num_train_epochs": 9223372036854775807,
|
| 2817 |
+
"save_steps": 500,
|
| 2818 |
+
"stateful_callbacks": {
|
| 2819 |
+
"TrainerControl": {
|
| 2820 |
+
"args": {
|
| 2821 |
+
"should_epoch_stop": false,
|
| 2822 |
+
"should_evaluate": false,
|
| 2823 |
+
"should_log": false,
|
| 2824 |
+
"should_save": true,
|
| 2825 |
+
"should_training_stop": false
|
| 2826 |
+
},
|
| 2827 |
+
"attributes": {}
|
| 2828 |
+
}
|
| 2829 |
+
},
|
| 2830 |
+
"total_flos": 2.064013055405274e+19,
|
| 2831 |
+
"train_batch_size": 1,
|
| 2832 |
+
"trial_name": null,
|
| 2833 |
+
"trial_params": null
|
| 2834 |
+
}
|
mixed_all_v5_300k_noreach/checkpoint-4000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac95c64d87e1e02e6baaf13a84a2f385efbf3a6ddc757c482437a4f9df7fa99c
|
| 3 |
+
size 7416
|
mixed_all_v5_300k_noreach/checkpoint-4000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|