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abnormality_classifier_biobert_v1_3_epochs
Granoladata/abnormality_classifier_biobert_v1_3_epochs
abnormality_classifier_biobert_v1_3_epochs is a text classification model from Granoladata. 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
- Mar 6, 2024
- Updated
- Mar 6, 2024
- SHA
- e610a6a8
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Base models
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. -->
abnormality_classifier_biobert_v1_3_epochs
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: 0.2835
- Accuracy: 0.957
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0099 | 1.0 | 1125 | 0.2986 | 0.952 |
| 0.0048 | 2.0 | 2250 | 0.2623 | 0.961 |
| 0.0063 | 3.0 | 3375 | 0.2835 | 0.957 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024