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---
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_lr0.0002_alpha32_rk4_do0.1_wd1.0e-02
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. -->
# pgd_mistral_8bits_lr0.0002_alpha32_rk4_do0.1_wd1.0e-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: 0.7793
## 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: 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: 10
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.0296 | 0.9778 | 11 | 2.3415 |
| 1.8108 | 1.9556 | 22 | 1.1645 |
| 1.0071 | 2.9333 | 33 | 0.8704 |
| 0.7805 | 4.0 | 45 | 0.8074 |
| 0.7974 | 4.9778 | 56 | 0.7788 |
| 0.7645 | 5.9556 | 67 | 0.7678 |
| 0.7508 | 6.9333 | 78 | 0.7640 |
| 0.675 | 8.0 | 90 | 0.7635 |
| 0.7262 | 8.9778 | 101 | 0.7708 |
| 0.6817 | 9.7778 | 110 | 0.7793 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.43.4
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |