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BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ContaminationQAmodel_PubmedBERT
This model is a fine-tuned version of Sotireas/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ContaminationQAmodel_PubmedBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0853
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 21 | 3.8118 |
| No log | 2.0 | 42 | 3.5006 |
| No log | 3.0 | 63 | 3.1242 |
| No log | 4.0 | 84 | 2.9528 |
| No log | 5.0 | 105 | 2.9190 |
| No log | 6.0 | 126 | 2.9876 |
| No log | 7.0 | 147 | 3.0574 |
| No log | 8.0 | 168 | 3.0718 |
| No log | 9.0 | 189 | 3.0426 |
| No log | 10.0 | 210 | 3.0853 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
