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DistilBERT-smaller-BioRED2e-05
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2420
- Accuracy: 0.9005
- F1: 0.5736
- Precision: 0.7084
- Recall: 0.4819
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3222 | 1.0 | 813 | 0.2572 | 0.9049 | 0.6047 | 0.7052 | 0.5292 |
| 0.2182 | 2.0 | 1626 | 0.2834 | 0.8961 | 0.6012 | 0.6359 | 0.5702 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
