--- library_name: transformers license: other base_model: lldois/v15_user_logic_json_lr15e6 tags: - llama-factory - full - generated_from_trainer model-index: - name: v24_v15_cot_light_repair_lr25e6_ep035 results: [] --- # v24_v15_cot_light_repair_lr25e6_ep035 This model is a fine-tuned version of [lldois/v15_user_logic_json_lr15e6](https://huggingface.co/lldois/v15_user_logic_json_lr15e6) on the exp_v15_cot_light_repair dataset. ## 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: 2.5e-06 - train_batch_size: 1 - eval_batch_size: 8 - seed: 202607243 - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - 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_steps: 0.02 - num_epochs: 0.35 ### Training results ### Framework versions - Transformers 5.6.0 - Pytorch 2.7.1+cu126 - Datasets 4.0.0 - Tokenizers 0.22.2