| library_name: transformers | |
| license: other | |
| base_model: JetLM/SDAR-4B-Chat | |
| tags: | |
| - llama-factory | |
| - full | |
| - generated_from_trainer | |
| model-index: | |
| - name: sft | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # sft | |
| This model is a fine-tuned version of [./training/model/SDAR-4B-Chat](https://huggingface.co/./training/model/SDAR-4B-Chat) on an unknown 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: 4 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 64 | |
| - 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: 0.03 | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.52.4 | |
| - Pytorch 2.8.0+cu128 | |
| - Datasets 3.6.0 | |
| - Tokenizers 0.21.1 | |