--- library_name: transformers license: other tags: - llama-factory - full - generated_from_trainer model-index: - name: sft__pymethods2test_selfsuccess_best1_jsonfmt__laion-GLM-4_7-swesm__fa2-qwen3-steps-96-4e-05__Qw results: [] --- # sft__pymethods2test_selfsuccess_best1_jsonfmt__laion-GLM-4_7-swesm__fa2-qwen3-steps-96-4e-05__Qw This model was trained from scratch on the /gpfs/scratch/ehpc524/ot/datasets/pymethods2test_selfsuccess_best1_jsonfmt_thinking_preprocessed 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: 4e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 32 - gradient_accumulation_steps: 3 - total_train_batch_size: 96 - total_eval_batch_size: 256 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 5.0 ### Training results ### Framework versions - Transformers 4.57.3 - Pytorch 2.10.0+cu128 - Datasets 4.8.4 - Tokenizers 0.22.2