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biobert-v1.1-text-classifier-corpus-ptc
Meli101/biobert-v1.1-text-classifier-corpus-ptc
biobert-v1.1-text-classifier-corpus-ptc is a text classification model from Meli101. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 26, 2024
- Updated
- Feb 26, 2024
- SHA
- c5c9bee7
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
biobert-v1.1-text-classifier-corpus-ptc
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8871
- Precision: 0.6734
- Recall: 0.6476
- Accuracy: 0.7495
- F1: 0.6556
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
|---|---|---|---|---|---|---|---|
| 0.8749 | 1.0 | 801 | 0.7585 | 0.5507 | 0.5801 | 0.7291 | 0.5628 |
| 0.608 | 2.0 | 1602 | 0.7347 | 0.6817 | 0.5910 | 0.7407 | 0.5786 |
| 0.5071 | 3.0 | 2403 | 0.8002 | 0.6852 | 0.6272 | 0.7501 | 0.6331 |
| 0.3756 | 4.0 | 3204 | 0.8416 | 0.6989 | 0.6411 | 0.7529 | 0.6528 |
| 0.3092 | 5.0 | 4005 | 0.8871 | 0.6734 | 0.6476 | 0.7495 | 0.6556 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 26, 2024
- Updated
- Feb 26, 2024