shawgpt-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4144
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9264 | 0.9231 | 3 | 3.3245 |
| 3.3146 | 1.8462 | 6 | 2.7427 |
| 2.7192 | 2.7692 | 9 | 2.3390 |
| 1.7666 | 4.0 | 13 | 2.0350 |
| 2.062 | 4.9231 | 16 | 1.8879 |
| 1.8845 | 5.8462 | 19 | 1.7629 |
| 1.7761 | 6.7692 | 22 | 1.7075 |
| 1.2852 | 8.0 | 26 | 1.6366 |
| 1.6574 | 8.9231 | 29 | 1.5764 |
| 1.5831 | 9.8462 | 32 | 1.5635 |
| 1.5859 | 10.7692 | 35 | 1.5347 |
| 1.1421 | 12.0 | 39 | 1.5025 |
| 1.5139 | 12.9231 | 42 | 1.4772 |
| 1.4591 | 13.8462 | 45 | 1.4619 |
| 1.4615 | 14.7692 | 48 | 1.4502 |
| 1.0953 | 16.0 | 52 | 1.4402 |
| 1.4286 | 16.9231 | 55 | 1.4256 |
| 1.402 | 17.8462 | 58 | 1.4171 |
| 0.9867 | 18.4615 | 60 | 1.4144 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1