---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.3
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: 1.6744

## 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: 2e-05
- train_batch_size: 15
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.7937        | 0.0926 | 10   | 2.8448          |
| 2.409         | 0.1852 | 20   | 2.3765          |
| 1.9925        | 0.2778 | 30   | 2.0637          |
| 1.8024        | 0.3704 | 40   | 1.9683          |
| 1.7356        | 0.4630 | 50   | 1.8912          |
| 1.7182        | 0.5556 | 60   | 1.8409          |
| 1.7079        | 0.6481 | 70   | 1.8011          |
| 1.699         | 0.7407 | 80   | 1.7660          |
| 1.5545        | 0.8333 | 90   | 1.7415          |
| 1.5352        | 0.9259 | 100  | 1.6744          |


### Framework versions

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