metadata
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_rk8_do0.1_wd1.0e-02
results: []
pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7861
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: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 20
- 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 |
|---|---|---|---|
| 2.8564 | 1.0 | 9 | 2.2714 |
| 1.607 | 2.0 | 18 | 1.0222 |
| 0.9173 | 3.0 | 27 | 0.8651 |
| 0.8316 | 4.0 | 36 | 0.8166 |
| 0.7842 | 5.0 | 45 | 0.7899 |
| 0.7608 | 6.0 | 54 | 0.7818 |
| 0.7461 | 7.0 | 63 | 0.7808 |
| 0.7325 | 8.0 | 72 | 0.7843 |
| 0.7213 | 9.0 | 81 | 0.7848 |
| 0.7143 | 10.0 | 90 | 0.7861 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1