---
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: logs
  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. -->

# logs

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: 1.1291

## 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: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9560 | 19   | 1.6214          |
| 1.8609        | 1.9623 | 39   | 1.4791          |
| 1.5247        | 2.9686 | 59   | 1.3896          |
| 1.4173        | 3.9748 | 79   | 1.3052          |
| 1.4173        | 4.9811 | 99   | 1.2385          |
| 1.3272        | 5.9874 | 119  | 1.1894          |
| 1.248         | 6.9937 | 139  | 1.1540          |
| 1.2           | 8.0    | 159  | 1.1351          |
| 1.1843        | 8.9560 | 178  | 1.1295          |
| 1.1843        | 9.5597 | 190  | 1.1291          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1