---
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_lr4e-05_alpha16_rk8_do0.0_wd1.0e-05
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pgd_mistral_8bits_lr4e-05_alpha16_rk8_do0.0_wd1.0e-05

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: 0.8732

## 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: 4e-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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.9721        | 0.9867 | 37   | 2.1189          |
| 1.525         | 2.0    | 75   | 1.0950          |
| 1.0021        | 2.9867 | 112  | 0.9615          |
| 0.9104        | 4.0    | 150  | 0.9231          |
| 0.9014        | 4.9867 | 187  | 0.8953          |
| 0.8562        | 6.0    | 225  | 0.8828          |
| 0.8702        | 6.9867 | 262  | 0.8774          |
| 0.8411        | 8.0    | 300  | 0.8756          |
| 0.8592        | 8.9867 | 337  | 0.8747          |
| 0.8329        | 9.8667 | 370  | 0.8732          |


### Framework versions

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