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pgd_mistral_8bits_lr0.004_alpha32_rk4_do0.2_wd3.0e-03
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: 4.7590
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: 0.004
- 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: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1711 | 1.0 | 15 | 1.1259 |
| 2.5313 | 2.0 | 30 | 9.7541 |
| 8.0828 | 3.0 | 45 | 6.5207 |
| 5.9822 | 4.0 | 60 | 5.0761 |
| 4.8191 | 5.0 | 75 | 4.7590 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for nelkh/pgd_mistral_8bits_lr0.004_alpha32_rk4_do0.2_wd3.0e-03
Base model
mistralai/Mistral-7B-v0.3
Finetuned
mistralai/Mistral-7B-Instruct-v0.3