---
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: pgd_mistral_8bits_lr9e-05_alpha32_rk4_do0.2_wd2.0e-02
  results: []
---

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# pgd_mistral_8bits_lr9e-05_alpha32_rk4_do0.2_wd2.0e-02

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8425

## 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: 9e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.6427        | 0.9778 | 22   | 1.6811          |
| 1.0715        | 2.0    | 45   | 0.9352          |
| 0.8713        | 2.9778 | 67   | 0.8724          |
| 0.7894        | 4.0    | 90   | 0.8532          |
| 0.8064        | 4.9778 | 112  | 0.8457          |
| 0.7582        | 6.0    | 135  | 0.8422          |
| 0.7828        | 6.9778 | 157  | 0.8422          |
| 0.7403        | 8.0    | 180  | 0.8403          |
| 0.7665        | 8.9778 | 202  | 0.8410          |
| 0.7214        | 9.7778 | 220  | 0.8425          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1