---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-7b-brian-clough-ft
  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-7b-brian-clough-ft

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: 0.0344

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8109        | 12.5  | 25   | 0.0686          |
| 0.0523        | 25.0  | 50   | 0.0304          |
| 0.0357        | 37.5  | 75   | 0.0344          |
| 0.0366        | 50.0  | 100  | 0.0390          |
| 0.035         | 62.5  | 125  | 0.0330          |
| 0.0346        | 75.0  | 150  | 0.0347          |
| 0.0346        | 87.5  | 175  | 0.0356          |
| 0.0338        | 100.0 | 200  | 0.0355          |
| 0.0341        | 112.5 | 225  | 0.0363          |
| 0.0325        | 125.0 | 250  | 0.0376          |
| 0.0333        | 137.5 | 275  | 0.0341          |
| 0.0332        | 150.0 | 300  | 0.0348          |
| 0.0332        | 162.5 | 325  | 0.0346          |
| 0.0334        | 175.0 | 350  | 0.0345          |
| 0.0333        | 187.5 | 375  | 0.0325          |
| 0.033         | 200.0 | 400  | 0.0347          |
| 0.0328        | 212.5 | 425  | 0.0338          |
| 0.0331        | 225.0 | 450  | 0.0343          |
| 0.0339        | 237.5 | 475  | 0.0343          |
| 0.0324        | 250.0 | 500  | 0.0344          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0