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

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

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: 0.9210

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9822        | 0.99  | 42   | 1.5521          |
| 1.4408        | 1.99  | 84   | 1.3540          |
| 1.2501        | 2.98  | 126  | 1.2406          |
| 1.0744        | 4.0   | 169  | 1.1296          |
| 0.9751        | 4.99  | 211  | 1.0512          |
| 0.8817        | 5.99  | 253  | 0.9931          |
| 0.8158        | 6.98  | 295  | 0.9602          |
| 0.7383        | 8.0   | 338  | 0.9393          |
| 0.7179        | 8.99  | 380  | 0.9236          |
| 0.6866        | 9.94  | 420  | 0.9210          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2