---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-lora-token-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. -->

# mistral-lora-token-classification

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0675
- Precision: 0.7504
- Recall: 0.6836
- F1-score: 0.7154
- Accuracy: 0.7676

## 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: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-score | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
| 1.3948        | 1.0   | 762  | 1.2063          | 0.7208    | 0.6344 | 0.6748   | 0.7387   |
| 0.8588        | 2.0   | 1524 | 1.1396          | 0.6313    | 0.8310 | 0.7175   | 0.7203   |
| 0.7512        | 3.0   | 2286 | 1.0329          | 0.7281    | 0.7404 | 0.7342   | 0.7708   |
| 0.6143        | 4.0   | 3048 | 1.0510          | 0.6917    | 0.7512 | 0.7202   | 0.7505   |
| 0.5564        | 5.0   | 3810 | 1.0675          | 0.7504    | 0.6836 | 0.7154   | 0.7676   |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2