--- library_name: transformers license: other tags: - llama-factory - full - generated_from_trainer model-index: - name: R2EGym-32B-Agent-Coder-R2egym-mid-post-step1746 results: [] --- # R2EGym-32B-Agent-Coder-R2egym-mid-post-step1746 This model is a fine-tuned version of the local checkpoint `v2v3_from_sample10_step1746` on the R2EGym_SFT_Trajectories 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: 1e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 8 - total_eval_batch_size: 64 - 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 - num_epochs: 2.0 ### Training results ### Framework versions - Transformers 4.57.6 - Pytorch 2.7.1+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2