bert-base-cased-PubmedQAmodel
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1602
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 21 | 3.3780 |
| No log | 2.0 | 42 | 3.2694 |
| No log | 3.0 | 63 | 3.1892 |
| No log | 4.0 | 84 | 3.1536 |
| No log | 5.0 | 105 | 3.1454 |
| No log | 6.0 | 126 | 3.1754 |
| No log | 7.0 | 147 | 3.1372 |
| No log | 8.0 | 168 | 3.1602 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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