---
base_model: mistralai/Mistral-7B-v0.3
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mistral_fine_tuned
  results: []
---

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# mistral_fine_tuned

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co./mistralai/Mistral-7B-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7777

## 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: 3e-05
- 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_steps: 0.03
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1448        | 0.1   | 10   | 2.6930          |
| 2.5114        | 0.2   | 20   | 2.1804          |
| 1.6951        | 0.3   | 30   | 2.0022          |
| 1.7202        | 0.4   | 40   | 1.9292          |
| 1.7303        | 0.5   | 50   | 1.9083          |
| 1.4861        | 0.6   | 60   | 1.8414          |
| 1.7349        | 0.7   | 70   | 1.7941          |
| 1.6208        | 0.8   | 80   | 1.7469          |
| 1.6669        | 0.9   | 90   | 1.7685          |
| 1.5728        | 1.0   | 100  | 1.7777          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1