---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: Finetune-test3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Finetune-test3

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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6143

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1515        | 0.9956 | 56   | 0.7617          |
| 0.7099        | 1.9911 | 112  | 0.6591          |
| 0.6427        | 2.9867 | 168  | 0.6336          |
| 0.5897        | 4.0    | 225  | 0.6145          |
| 0.5634        | 4.9956 | 281  | 0.6038          |
| 0.5328        | 5.9911 | 337  | 0.6003          |
| 0.5084        | 6.9867 | 393  | 0.6019          |
| 0.4793        | 8.0    | 450  | 0.6030          |
| 0.4718        | 8.9956 | 506  | 0.6088          |
| 0.4559        | 9.9556 | 560  | 0.6143          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.0.1+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1