| | --- |
| | license: mit |
| | base_model: HuggingFaceH4/zephyr-7b-beta |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: storage_cache |
| | 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. --> |
| |
|
| | # storage_cache |
| | |
| | This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.9586 |
| | |
| | ## 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: 0.0003 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 32 |
| | - total_train_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 10 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.0447 | 1.16 | 25 | 2.0142 | |
| | | 1.84 | 2.32 | 50 | 1.9586 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.0 |
| | - Pytorch 2.0.0+cu117 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
| | |
