End of training

README.md

@@ -3,9 +3,12 @@ library_name: peft
 license: mit
 base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
+datasets:
+- tttx/test-star-9-step1-trajectories
 model-index:
 - name: masked-star-test-star-9-step1
   results: []
@@ -16,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # masked-star-test-star-9-step1
 
-This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) on an unknown dataset.
+This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) on the tttx/test-star-9-step1-trajectories dataset.
 It achieves the following results on the evaluation set:
 - Loss: 3.8782
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 2.0,
+    "eval_loss": 3.8781862258911133,
+    "eval_runtime": 0.7789,
+    "eval_samples": 1,
+    "eval_samples_per_second": 1.284,
+    "eval_steps_per_second": 1.284,
     "total_flos": 5408059555840.0,
     "train_loss": 0.3837674856185913,
     "train_runtime": 21.2768,

config.json

@@ -0,0 +1,30 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 27648,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 64,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 64,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.0.dev0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "eval_loss": 3.8781862258911133,
+    "eval_runtime": 0.7789,
+    "eval_samples": 1,
+    "eval_samples_per_second": 1.284,
+    "eval_steps_per_second": 1.284
+}