| library_name: peft | |
| license: llama3.1 | |
| base_model: meta-llama/Meta-Llama-3.1-8B-Instruct | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: llama_finetuned_unsupervised_full_doc | |
| 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. --> | |
| # llama_finetuned_unsupervised_full_doc | |
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None 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: 10 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 5000 | |
| - num_epochs: 6 | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.13.2 | |
| - Transformers 4.46.1 | |
| - Pytorch 1.14.0a0+410ce96 | |
| - Datasets 3.0.2 | |
| - Tokenizers 0.20.1 |