Model save

README.md

@@ -1,10 +1,9 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: Qwen/Qwen2.5-1.5B-Instruct
+base_model: Qwen/Qwen2.5-7B-Instruct
 tags:
 - llama-factory
-- full
 - generated_from_trainer
 model-index:
 - name: qwen2-5_multiple_samples_ground_truth_openr1_llm_verifier_clean
@@ -16,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # qwen2-5_multiple_samples_ground_truth_openr1_llm_verifier_clean
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the mlfoundations-dev/instruction_filtering_scale_up_code_base_gemini_length_1K dataset.
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
 
 ## Model description
 
@@ -40,8 +39,10 @@ The following hyperparameters were used during training:
 - eval_batch_size: 8
 - seed: 42
 - distributed_type: multi-GPU
+- num_devices: 32
 - gradient_accumulation_steps: 3
-- total_train_batch_size: 3
+- total_train_batch_size: 96
+- total_eval_batch_size: 256
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1

generation_config.json

@@ -6,7 +6,7 @@
     151643
   ],
   "pad_token_id": 151643,
-  "repetition_penalty": 1.1,
+  "repetition_penalty": 1.05,
   "temperature": 0.7,
   "top_k": 20,
   "top_p": 0.8,

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