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

# labmate-mistral-7b-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: 1.4153

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7983        | 1.0   | 1    | 1.4848          |
| 0.7983        | 2.0   | 2    | 1.4791          |
| 0.7863        | 3.0   | 3    | 1.4653          |
| 0.7603        | 4.0   | 4    | 1.4518          |
| 0.7353        | 5.0   | 5    | 1.4395          |
| 0.7135        | 6.0   | 6    | 1.4299          |
| 0.6955        | 7.0   | 7    | 1.4232          |
| 0.6815        | 8.0   | 8    | 1.4188          |
| 0.6712        | 9.0   | 9    | 1.4165          |
| 0.6642        | 10.0  | 10   | 1.4153          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1