Model save

README.md

@@ -1,11 +1,9 @@
 ---
 base_model: flyingbugs/Qwen2.5-Math-7B-Instruct
-datasets: flyingbugs/OpenR1-Math-220k-pruned-keep-0.01-end-start-0.5-acc
 library_name: transformers
 model_name: Qwen2.5-Math-7B-Instruct-Math220k-acc-0.01
 tags:
 - generated_from_trainer
-- open-r1
 - trl
 - sft
 licence: license
@@ -13,7 +11,7 @@ licence: license
 
 # Model Card for Qwen2.5-Math-7B-Instruct-Math220k-acc-0.01
 
-This model is a fine-tuned version of [flyingbugs/Qwen2.5-Math-7B-Instruct](https://huggingface.co/flyingbugs/Qwen2.5-Math-7B-Instruct) on the [flyingbugs/OpenR1-Math-220k-pruned-keep-0.01-end-start-0.5-acc](https://huggingface.co/datasets/flyingbugs/OpenR1-Math-220k-pruned-keep-0.01-end-start-0.5-acc) dataset.
+This model is a fine-tuned version of [flyingbugs/Qwen2.5-Math-7B-Instruct](https://huggingface.co/flyingbugs/Qwen2.5-Math-7B-Instruct).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -29,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jjh233/huggingface/runs/f3e3izj5) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jjh233/huggingface/runs/rzvai21q) 
 
 
 This model was trained with SFT.
@@ -39,7 +37,7 @@ This model was trained with SFT.
 - TRL: 0.16.0.dev0
 - Transformers: 4.51.3
 - Pytorch: 2.5.1
-- Datasets: 3.5.0
+- Datasets: 3.5.1
 - Tokenizers: 0.21.1
 
 ## Citations

all_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 9.33106100089756e+18,
-    "train_loss": 0.43586345953600747,
-    "train_runtime": 28322.0165,
+    "train_loss": 0.0,
+    "train_runtime": 1.548,
     "train_samples": 93733,
-    "train_samples_per_second": 0.475,
-    "train_steps_per_second": 0.03
+    "train_samples_per_second": 8690.077,
+    "train_steps_per_second": 542.645
 }

config.json

@@ -22,7 +22,7 @@
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.51.3",
-  "use_cache": true,
+  "use_cache": false,
   "use_sliding_window": false,
   "vocab_size": 152064
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 9.33106100089756e+18,
-    "train_loss": 0.43586345953600747,
-    "train_runtime": 28322.0165,
+    "train_loss": 0.0,
+    "train_runtime": 1.548,
     "train_samples": 93733,
-    "train_samples_per_second": 0.475,
-    "train_steps_per_second": 0.03
+    "train_samples_per_second": 8690.077,
+    "train_steps_per_second": 542.645
 }

trainer_state.json

@@ -5893,10 +5893,10 @@
       "epoch": 2.9910873440285206,
       "step": 840,
       "total_flos": 9.33106100089756e+18,
-      "train_loss": 0.43586345953600747,
-      "train_runtime": 28322.0165,
-      "train_samples_per_second": 0.475,
-      "train_steps_per_second": 0.03
+      "train_loss": 0.0,
+      "train_runtime": 1.548,
+      "train_samples_per_second": 8690.077,
+      "train_steps_per_second": 542.645
     }
   ],
   "logging_steps": 1,

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:4e18d32b42d8db03dbe79d7841afee4ed7b47d854a5bf0650c553af779d121f2
+oid sha256:724283ca3180d35d8253c4e6f9a0d411edea6c233caecbd6cc7ac147b5ce2b17
 size 7480