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ec_classfication_0502_emilyalsentzer_Bio_ClinicalBERT
kimsiun/ec_classfication_0502_emilyalsentzer_Bio_ClinicalBERT
ec_classfication_0502_emilyalsentzer_Bio_ClinicalBERT is a text classification model from kimsiun. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- May 2, 2023
- Updated
- May 2, 2023
- SHA
- 4398173e
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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. -->
ec_classfication_0502_emilyalsentzer_Bio_ClinicalBERT
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4827
- F1: 0.7586
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 59 | 0.6180 | 0.5075 |
| No log | 2.0 | 118 | 0.5676 | 0.6154 |
| No log | 3.0 | 177 | 0.4982 | 0.8172 |
| No log | 4.0 | 236 | 0.8061 | 0.7826 |
| No log | 5.0 | 295 | 0.9337 | 0.7442 |
| No log | 6.0 | 354 | 1.0500 | 0.7778 |
| No log | 7.0 | 413 | 1.4362 | 0.6829 |
| No log | 8.0 | 472 | 1.2663 | 0.7556 |
| 0.1798 | 9.0 | 531 | 1.2302 | 0.8000 |
| 0.1798 | 10.0 | 590 | 1.5106 | 0.7442 |
| 0.1798 | 11.0 | 649 | 1.4128 | 0.7640 |
| 0.1798 | 12.0 | 708 | 1.3024 | 0.8000 |
| 0.1798 | 13.0 | 767 | 1.5237 | 0.7442 |
| 0.1798 | 14.0 | 826 | 1.4852 | 0.7586 |
| 0.1798 | 15.0 | 885 | 1.4827 | 0.7586 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- May 2, 2023
- Updated
- May 2, 2023