---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: shawgpt-ft-rank15
  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. -->

# shawgpt-ft-rank15

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: 1.4708

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 4.6112        | 0.9231  | 3    | 4.0550          |
| 4.2025        | 1.8462  | 6    | 3.6361          |
| 3.7045        | 2.7692  | 9    | 3.2236          |
| 2.4446        | 4.0     | 13   | 2.7784          |
| 2.9141        | 4.9231  | 16   | 2.5251          |
| 2.5912        | 5.8462  | 19   | 2.2999          |
| 2.3012        | 6.7692  | 22   | 2.0951          |
| 1.557         | 8.0     | 26   | 1.8584          |
| 1.8593        | 8.9231  | 29   | 1.7346          |
| 1.7011        | 9.8462  | 32   | 1.6430          |
| 1.6199        | 10.7692 | 35   | 1.5651          |
| 1.1287        | 12.0    | 39   | 1.5022          |
| 1.4878        | 12.9231 | 42   | 1.4791          |
| 1.229         | 13.8462 | 45   | 1.4708          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.19.1