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distilbert-base-uncased-finetuned-cuad_smaller_4
This model is a fine-tuned version of distilbert-base-uncased on the cuad_v1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1199
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: 0.0001
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1067 | 1.0 | 3769 | 0.0894 |
| 0.0858 | 2.0 | 7538 | 0.1010 |
| 0.0683 | 3.0 | 11307 | 0.1043 |
| 0.0399 | 4.0 | 15076 | 0.1199 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
