longformer-base-4096-bible
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003
- Macro Average Precision: 1.0
- Weighted Average Precision: 1.0
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 32
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro Average Precision | Weighted Average Precision |
|---|
| 0.0854 | 1.0 | 30 | 0.0410 | 0.5090 | 0.5977 |
| 0.0446 | 2.0 | 60 | 0.0267 | 0.9137 | 0.9345 |
| 0.023 | 3.0 | 90 | 0.0092 | 0.9806 | 0.9869 |
| 0.0134 | 4.0 | 120 | 0.0042 | 0.9896 | 0.9939 |
| 0.0071 | 5.0 | 150 | 0.0033 | 1.0 | 1.0 |
| 0.0054 | 6.0 | 180 | 0.0027 | 1.0 | 1.0 |
| 0.0047 | 7.0 | 210 | 0.0015 | 1.0 | 1.0 |
| 0.0031 | 8.0 | 240 | 0.0017 | 1.0 | 1.0 |
| 0.0022 | 9.0 | 270 | 0.0016 | 1.0 | 1.0 |
| 0.0022 | 10.0 | 300 | 0.0004 | 1.0 | 1.0 |
| 0.0007 | 11.0 | 330 | 0.0003 | 1.0 | 1.0 |
| 0.0007 | 12.0 | 360 | 0.0003 | 1.0 | 1.0 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
