| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| base_model: mistralai/Mistral-7B-v0.1 |
| model-index: |
| - name: binary_classification |
| 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. --> |
|
|
| # binary_classification |
| |
| 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: 1.3251 |
| - Accuracy: 0.5 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 12 | 0.6405 | 0.8 | |
| | No log | 2.0 | 24 | 1.2785 | 0.5 | |
| | No log | 3.0 | 36 | 0.7415 | 0.7 | |
| | No log | 4.0 | 48 | 0.9357 | 0.5 | |
| | No log | 5.0 | 60 | 1.2000 | 0.6 | |
| | No log | 6.0 | 72 | 1.4307 | 0.6 | |
| | No log | 7.0 | 84 | 1.3643 | 0.5 | |
| | No log | 8.0 | 96 | 1.2574 | 0.5 | |
| | No log | 9.0 | 108 | 1.5340 | 0.5 | |
| | No log | 10.0 | 120 | 1.3251 | 0.5 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.9.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.1.2 |
| - Datasets 2.16.0 |
| - Tokenizers 0.15.1 |
