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

# lmi-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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1618

## 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: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.964         | 0.9714 | 17   | 2.5423          |
| 2.5133        | 1.9714 | 34   | 2.2165          |
| 2.2166        | 2.9714 | 51   | 2.0860          |
| 2.103         | 3.9714 | 68   | 2.0531          |
| 1.9895        | 4.9714 | 85   | 2.0560          |
| 1.8706        | 5.9714 | 102  | 2.0744          |
| 1.7926        | 6.9714 | 119  | 2.1024          |
| 1.7225        | 7.9714 | 136  | 2.1234          |
| 1.6712        | 8.9714 | 153  | 2.1618          |
| 1.5428        | 9.9714 | 170  | 2.1618          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.3.2
- Tokenizers 0.21.0