Model save

README.md

@@ -1,10 +1,8 @@
 ---
-datasets: open-r1/OpenR1-Math-220k
 library_name: transformers
 model_name: OpenR1-Qwen-7B-Math-repeat-B2048
 tags:
 - generated_from_trainer
-- open-r1
 - trl
 - sft
 licence: license
@@ -12,7 +10,7 @@ licence: license
 
 # Model Card for OpenR1-Qwen-7B-Math-repeat-B2048
 
-This model is a fine-tuned version of [None](https://huggingface.co/None) 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 [None](https://huggingface.co/None).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -28,7 +26,7 @@ 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/zhiyuan-chenyan-zhenghao-group/openr1/runs/0ffxb36a) 
+[<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/zhiyuan-chenyan-zhenghao-group/openr1/runs/0g69uq9g) 
 
 
 This model was trained with SFT.

all_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 2.75595486135373e+18,
-    "train_loss": 0.4117858892421835,
-    "train_runtime": 49455.0777,
+    "train_loss": 0.411641573528208,
+    "train_runtime": 64602.1937,
     "train_samples": 93733,
-    "train_samples_per_second": 1.042,
-    "train_steps_per_second": 0.065
+    "train_samples_per_second": 0.797,
+    "train_steps_per_second": 0.05
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "total_flos": 2.75595486135373e+18,
-    "train_loss": 0.4117858892421835,
-    "train_runtime": 49455.0777,
+    "train_loss": 0.411641573528208,
+    "train_runtime": 64602.1937,
     "train_samples": 93733,
-    "train_samples_per_second": 1.042,
-    "train_steps_per_second": 0.065
+    "train_samples_per_second": 0.797,
+    "train_steps_per_second": 0.05
 }