| license: apache-2.0 | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: lora_results_2023_10_13_big | |
| 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. --> | |
| # lora_results_2023_10_13_big | |
| This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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: 0.0001 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.3 | |
| - num_epochs: 8 | |
| ### Framework versions | |
| - Transformers 4.35.0.dev0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.5 | |
| - Tokenizers 0.14.0 | |