results
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0046
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 230 | 0.0055 |
| No log | 2.0 | 460 | 0.0053 |
| 0.0061 | 3.0 | 690 | 0.0053 |
| 0.0061 | 4.0 | 920 | 0.0051 |
| 0.0057 | 5.0 | 1150 | 0.0050 |
| 0.0057 | 6.0 | 1380 | 0.0050 |
| 0.0055 | 7.0 | 1610 | 0.0050 |
| 0.0055 | 8.0 | 1840 | 0.0050 |
| 0.0053 | 9.0 | 2070 | 0.0048 |
| 0.0053 | 10.0 | 2300 | 0.0048 |
| 0.0053 | 11.0 | 2530 | 0.0048 |
| 0.0053 | 12.0 | 2760 | 0.0048 |
| 0.0053 | 13.0 | 2990 | 0.0047 |
| 0.0052 | 14.0 | 3220 | 0.0047 |
| 0.0052 | 15.0 | 3450 | 0.0047 |
| 0.0051 | 16.0 | 3680 | 0.0047 |
| 0.0051 | 17.0 | 3910 | 0.0047 |
| 0.005 | 18.0 | 4140 | 0.0047 |
| 0.005 | 19.0 | 4370 | 0.0046 |
| 0.005 | 20.0 | 4600 | 0.0046 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.1