---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: working
  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. -->

# working

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6079

## 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: 0.0002
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3979        | 0.96  | 6    | 3.3561          |
| 2.837         | 1.92  | 12   | 2.2656          |
| 1.9777        | 2.88  | 18   | 1.7212          |
| 1.3641        | 4.0   | 25   | 1.4591          |
| 1.3384        | 4.96  | 31   | 1.2543          |
| 1.1314        | 5.92  | 37   | 1.1326          |
| 0.9904        | 6.88  | 43   | 1.0707          |
| 0.7908        | 8.0   | 50   | 1.0784          |
| 0.8779        | 8.96  | 56   | 1.0891          |
| 0.8415        | 9.92  | 62   | 1.1026          |
| 0.8044        | 10.88 | 68   | 1.1326          |
| 0.6611        | 12.0  | 75   | 1.1425          |
| 0.7385        | 12.96 | 81   | 1.2161          |
| 0.7071        | 13.92 | 87   | 1.2182          |
| 0.6841        | 14.88 | 93   | 1.2865          |
| 0.5671        | 16.0  | 100  | 1.3092          |
| 0.6442        | 16.96 | 106  | 1.3813          |
| 0.629         | 17.92 | 112  | 1.3295          |
| 0.6197        | 18.88 | 118  | 1.4387          |
| 0.522         | 20.0  | 125  | 1.3785          |
| 0.6013        | 20.96 | 131  | 1.4355          |
| 0.5928        | 21.92 | 137  | 1.4321          |
| 0.5901        | 22.88 | 143  | 1.4711          |
| 0.5015        | 24.0  | 150  | 1.4916          |
| 0.5817        | 24.96 | 156  | 1.5001          |
| 0.578         | 25.92 | 162  | 1.5077          |
| 0.5758        | 26.88 | 168  | 1.5173          |
| 0.4914        | 28.0  | 175  | 1.4935          |
| 0.5732        | 28.96 | 181  | 1.5161          |
| 0.5715        | 29.92 | 187  | 1.5131          |
| 0.5696        | 30.88 | 193  | 1.5400          |
| 0.4861        | 32.0  | 200  | 1.5338          |
| 0.5666        | 32.96 | 206  | 1.5474          |
| 0.5643        | 33.92 | 212  | 1.5519          |
| 0.5643        | 34.88 | 218  | 1.5710          |
| 0.4819        | 36.0  | 225  | 1.5723          |
| 0.5607        | 36.96 | 231  | 1.5749          |
| 0.5609        | 37.92 | 237  | 1.5677          |
| 0.5598        | 38.88 | 243  | 1.5853          |
| 0.4793        | 40.0  | 250  | 1.5951          |
| 0.5587        | 40.96 | 256  | 1.5850          |
| 0.5577        | 41.92 | 262  | 1.5904          |
| 0.5568        | 42.88 | 268  | 1.5913          |
| 0.477         | 44.0  | 275  | 1.5959          |
| 0.5553        | 44.96 | 281  | 1.6042          |
| 0.5556        | 45.92 | 287  | 1.6082          |
| 0.5549        | 46.88 | 293  | 1.6075          |
| 0.4749        | 48.0  | 300  | 1.6079          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2