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bert-small-finetuned-cuad-full-longer
This model is a fine-tuned version of muhtasham/bert-small-finetuned-cuad-full on the cuad dataset. It achieves the following results on the evaluation set:
- Loss: 0.0295
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0306 | 1.0 | 23785 | 0.0263 |
| 0.025 | 2.0 | 47570 | 0.0275 |
| 0.022 | 3.0 | 71355 | 0.0295 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
