| license: apache-2.0 | |
| library_name: peft | |
| tags: | |
| - trl | |
| - sft | |
| - generated_from_trainer | |
| base_model: mistralai/Mixtral-8x7B-v0.1 | |
| datasets: | |
| - generator | |
| model-index: | |
| - name: mixtral_train | |
| 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. --> | |
| # mixtral_train | |
| This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.8533 | |
| - eval_runtime: 141.9062 | |
| - eval_samples_per_second: 3.622 | |
| - eval_steps_per_second: 0.458 | |
| - epoch: 5.97 | |
| - step: 400 | |
| ## 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: 2.5e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 0.03 | |
| - training_steps: 1000 | |
| ### Framework versions | |
| - PEFT 0.10.0 | |
| - Transformers 4.39.3 | |
| - Pytorch 2.2.2+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 |