outputs
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 2.0181 | 0.24 | 4 | 1.9684 |
| 2.0616 | 0.47 | 8 | 1.8863 |
| 1.8467 | 0.71 | 12 | 1.8116 |
| 1.707 | 0.94 | 16 | 1.7309 |
| 1.7886 | 1.18 | 20 | 1.6529 |
| 1.6539 | 1.41 | 24 | 1.5884 |
| 1.5149 | 1.65 | 28 | 1.5568 |
| 1.4526 | 1.88 | 32 | 1.5390 |
| 1.5335 | 2.12 | 36 | 1.5283 |
| 1.5668 | 2.35 | 40 | 1.5211 |
| 1.3914 | 2.59 | 44 | 1.5158 |
| 1.5769 | 2.82 | 48 | 1.5113 |
| 1.3794 | 3.06 | 52 | 1.5075 |
| 1.5274 | 3.29 | 56 | 1.5043 |
| 1.5247 | 3.53 | 60 | 1.5016 |
| 1.4291 | 3.76 | 64 | 1.4993 |
| 1.4233 | 4.0 | 68 | 1.4974 |
| 1.4353 | 4.24 | 72 | 1.4960 |
| 1.6016 | 4.47 | 76 | 1.4949 |
| 1.4416 | 4.71 | 80 | 1.4942 |
| 1.4654 | 4.94 | 84 | 1.4939 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.1
