| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: mistralai/Mistral-7B-v0.1 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: runpod-test |
| 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. --> |
|
|
| # runpod-test |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1695 |
|
|
| ## 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-06 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.2093 | 1.0 | 10 | 1.2006 | |
| | 1.1937 | 2.0 | 20 | 1.1875 | |
| | 1.182 | 3.0 | 30 | 1.1778 | |
| | 1.1739 | 4.0 | 40 | 1.1716 | |
| | 1.1691 | 5.0 | 50 | 1.1695 | |
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|
| ### Framework versions |
|
|
| - PEFT 0.14.0 |
| - Transformers 4.49.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
