Model save

README.md

@@ -0,0 +1,67 @@
+---
+license: other
+base_model: facebook/opt-125m
+tags:
+- generated_from_trainer
+model-index:
+- name: BASE
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# BASE
+
+This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3414
+- Ppl: 29.2811
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 22554
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 2000
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Ppl     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 4.2333        | 2.51  | 4000  | 4.0199          | 57.7725 |
+| 3.5457        | 5.01  | 8000  | 3.4861          | 33.8623 |
+| 3.3372        | 7.52  | 12000 | 3.3414          | 29.2811 |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.0.dev0"
+}