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

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: 0.8239

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 4.1739        | 0.9412  | 4    | 3.4659          |
| 4.0196        | 1.8824  | 8    | 3.3864          |
| 3.2283        | 2.8235  | 12   | 3.2071          |
| 2.0147        | 4.0     | 17   | 2.9738          |
| 2.2299        | 4.9412  | 21   | 2.7751          |
| 2.0711        | 5.8824  | 25   | 2.6203          |
| 1.946         | 6.8235  | 29   | 2.3797          |
| 1.4262        | 8.0     | 34   | 2.0694          |
| 1.6468        | 8.9412  | 38   | 1.8468          |
| 1.5549        | 9.8824  | 42   | 1.5932          |
| 1.4661        | 10.8235 | 46   | 1.3819          |
| 1.1079        | 12.0    | 51   | 1.2555          |
| 1.3114        | 12.9412 | 55   | 1.1306          |
| 1.2436        | 13.8824 | 59   | 1.0515          |
| 1.1965        | 14.8235 | 63   | 0.9581          |
| 0.9269        | 16.0    | 68   | 0.9277          |
| 1.1262        | 16.9412 | 72   | 0.8709          |
| 1.1054        | 17.8824 | 76   | 0.8343          |
| 0.8664        | 18.8235 | 80   | 0.8239          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1