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aak-bert-base-cased-cpc-ricardo-talavera
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 13.5686
- Accuracy: 0.0
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: 5e-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 | Accuracy |
|---|---|---|---|---|
| 0.026 | 0.82 | 500 | 11.6700 | 0.0 |
| 0.0001 | 1.63 | 1000 | 12.4978 | 0.0 |
| 0.0 | 2.45 | 1500 | 12.9780 | 0.0 |
| 0.0 | 3.26 | 2000 | 13.2911 | 0.0 |
| 0.0 | 4.08 | 2500 | 13.4842 | 0.0 |
| 0.0 | 4.89 | 3000 | 13.5686 | 0.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
