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ApplicationBERT
This model is a fine-tuned version of EgilKarlsen/ApplicationBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2973
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1848 | 1.0 | 16846 | 0.3048 |
| 0.1577 | 2.0 | 33692 | 0.3015 |
| 0.1449 | 3.0 | 50538 | 0.3056 |
| 0.1412 | 4.0 | 67384 | 0.2942 |
| 0.1541 | 5.0 | 84230 | 0.2957 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
