--- library_name: transformers license: other # base_model: /home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step tags: - llama-factory - full - generated_from_trainer model-index: - name: reasoning_test results: [] --- # reasoning_test It achieves the following results on the evaluation set: - Loss: 0.0904 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 16 - total_train_batch_size: 32 - total_eval_batch_size: 2 - optimizer: Use 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 - num_epochs: 25.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | 0.0385 | 3.5039 | 25 | 0.0498 | | 0.0047 | 7.1260 | 50 | 0.0598 | | 0.001 | 10.6299 | 75 | 0.0682 | | 0.0002 | 14.2520 | 100 | 0.0857 | | 0.0 | 17.7559 | 125 | 0.0882 | | 0.0 | 21.3780 | 150 | 0.0904 | | 0.0 | 24.8819 | 175 | 0.0904 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.2.0 - Tokenizers 0.21.0