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distilbert-base-uncased-finetuned-cuad_smaller_2
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: 0.0929
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 |
|---|---|---|---|
| No log | 1.0 | 100 | 0.0827 |
| No log | 2.0 | 200 | 0.0897 |
| No log | 3.0 | 300 | 0.0862 |
| No log | 4.0 | 400 | 0.0929 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
