---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: mistral-test_1
  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-test_1

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2947

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8128        | 1.36  | 2500 | 2.1855          |
| 1.7961        | 1.63  | 3000 | 2.1808          |
| 1.7701        | 1.9   | 3500 | 2.2271          |
| 1.7186        | 2.17  | 4000 | 2.2265          |
| 1.6784        | 2.44  | 4500 | 2.2547          |
| 1.6692        | 2.71  | 5000 | 2.2547          |
| 1.6752        | 2.98  | 5500 | 2.2470          |
| 1.6206        | 3.26  | 6000 | 2.2842          |
| 1.599         | 3.53  | 6500 | 2.2663          |
| 1.6054        | 3.8   | 7000 | 2.2560          |
| 1.593         | 4.07  | 7500 | 2.3039          |
| 1.5771        | 4.34  | 8000 | 2.2797          |
| 1.5636        | 4.61  | 8500 | 2.2915          |
| 1.5551        | 4.88  | 9000 | 2.2947          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2