---
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: shawgpt-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. -->

# shawgpt-ft

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5866

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 4.586         | 0.9231  | 3    | 4.0840          |
| 4.5013        | 1.8462  | 6    | 3.6804          |
| 3.4295        | 2.7692  | 9    | 2.6498          |
| 1.7662        | 4.0     | 13   | 1.7049          |
| 1.6274        | 4.9231  | 16   | 1.4525          |
| 1.3983        | 5.8462  | 19   | 1.3957          |
| 1.2807        | 6.7692  | 22   | 1.3583          |
| 0.9365        | 8.0     | 26   | 1.3325          |
| 1.1829        | 8.9231  | 29   | 1.3339          |
| 1.0945        | 9.8462  | 32   | 1.3330          |
| 1.0448        | 10.7692 | 35   | 1.3496          |
| 0.7014        | 12.0    | 39   | 1.3455          |
| 0.8887        | 12.9231 | 42   | 1.3879          |
| 0.8145        | 13.8462 | 45   | 1.4225          |
| 0.7586        | 14.7692 | 48   | 1.4449          |
| 0.5382        | 16.0    | 52   | 1.5154          |
| 0.6563        | 16.9231 | 55   | 1.4966          |
| 0.6154        | 17.8462 | 58   | 1.5442          |
| 0.4083        | 18.4615 | 60   | 1.5866          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1