---
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
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# 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