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pretoxtm-sentence-classfier
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2571
- Precision: 0.9513
- Recall: 0.9530
- Accuracy: 0.9534
- F1: 0.9521
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
---|---|---|---|---|---|---|---|
No log | 1.0 | 257 | 0.1825 | 0.9537 | 0.9503 | 0.9534 | 0.9519 |
0.1743 | 2.0 | 514 | 0.2240 | 0.9550 | 0.9563 | 0.9568 | 0.9556 |
0.1743 | 3.0 | 771 | 0.2571 | 0.9513 | 0.9530 | 0.9534 | 0.9521 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3