---
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-QLORA-FT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-QLORA-FT

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: 1.2209

## 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: 5e-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: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4143        | 0.1   | 135  | 1.2817          |
| 1.2203        | 0.2   | 270  | 1.2299          |
| 1.2193        | 0.3   | 405  | 1.2281          |
| 1.2127        | 0.4   | 540  | 1.2252          |
| 1.1912        | 0.5   | 675  | 1.2238          |
| 1.1855        | 0.6   | 810  | 1.2236          |
| 1.1998        | 0.7   | 945  | 1.2216          |
| 1.1959        | 0.8   | 1080 | 1.2219          |
| 1.1884        | 0.9   | 1215 | 1.2210          |
| 1.1988        | 1.0   | 1350 | 1.2209          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2