Model save

README.md

@@ -1,11 +1,9 @@
 ---
 base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-datasets: open-r1/OpenR1-Math-220k
 library_name: transformers
 model_name: DeepSeek-R1-Distill-Qwen-1.5B-GRPO
 tags:
 - generated_from_trainer
-- open-r1
 - trl
 - grpo
 licence: license
@@ -13,7 +11,7 @@ licence: license
 
 # Model Card for DeepSeek-R1-Distill-Qwen-1.5B-GRPO
 
-This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the [open-r1/OpenR1-Math-220k](https://huggingface.co/datasets/open-r1/OpenR1-Math-220k) dataset.
+This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B).
 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/cui_cool/huggingface/runs/04r02tuy) 
+[<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/cui_cool/huggingface/runs/pgraivhf) 
 
 
 This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).

all_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 0.04573320485115892,
-    "train_runtime": 137693.9488,
+    "train_loss": 0.020902950335663653,
+    "train_runtime": 254122.1544,
     "train_samples": 93733,
-    "train_samples_per_second": 0.681,
-    "train_steps_per_second": 0.024
+    "train_samples_per_second": 0.369,
+    "train_steps_per_second": 0.013
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 0.04573320485115892,
-    "train_runtime": 137693.9488,
+    "train_loss": 0.020902950335663653,
+    "train_runtime": 254122.1544,
     "train_samples": 93733,
-    "train_samples_per_second": 0.681,
-    "train_steps_per_second": 0.024
+    "train_samples_per_second": 0.369,
+    "train_steps_per_second": 0.013
 }