---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- 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: 1.2527

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3229        | 0.97  | 27   | 1.8742          |
| 1.7299        | 1.98  | 55   | 1.6318          |
| 1.5704        | 2.99  | 83   | 1.4831          |
| 1.4553        | 4.0   | 111  | 1.4052          |
| 1.4421        | 4.97  | 138  | 1.3805          |
| 1.3759        | 5.98  | 166  | 1.3759          |
| 1.3658        | 6.99  | 194  | 1.3355          |
| 1.3271        | 8.0   | 222  | 1.2890          |
| 1.3299        | 8.97  | 249  | 1.2618          |
| 1.2296        | 9.73  | 270  | 1.2527          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2