| library_name: transformers | |
| license: llama3.1 | |
| base_model: Vivian12300/sparse_ft_en_sw | |
| tags: | |
| - trl | |
| - sft | |
| - generated_from_trainer | |
| datasets: | |
| - generator | |
| model-index: | |
| - name: sparse_ft_en_sw_context | |
| 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. --> | |
| # sparse_ft_en_sw_context | |
| This model is a fine-tuned version of [Vivian12300/sparse_ft_en_sw](https://huggingface.co/Vivian12300/sparse_ft_en_sw) on the generator 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: 5e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 16 | |
| - total_train_batch_size: 16 | |
| - optimizer: Use adafactor and the args are: | |
| No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 30 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.46.3 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.20.3 | |