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finetuned_ClinicalLongformer_CAT
npark95/finetuned_ClinicalLongformer_CAT
finetuned_ClinicalLongformer_CAT is a text classification model from npark95. 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
- longformer
- Access
- Public
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025
- SHA
- dc7cca26
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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. -->
finetuned_ClinicalLongformer_CAT
This model is a fine-tuned version of yikuan8/Clinical-Longformer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5686
- F1: 0.6565
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.7643 | 1.0 | 88 | 0.6880 | 0.4545 |
| 0.5304 | 2.0 | 176 | 0.5686 | 0.6565 |
| 0.4965 | 3.0 | 264 | 0.5383 | 0.6333 |
| 0.5511 | 4.0 | 352 | 0.5025 | 0.6387 |
| 0.4464 | 5.0 | 440 | 0.8222 | 0.6324 |
| 0.524 | 6.0 | 528 | 0.5835 | 0.6387 |
| 0.5914 | 7.0 | 616 | 0.5681 | 0.6333 |
| 0.4904 | 8.0 | 704 | 0.7025 | 0.6190 |
| 0.368 | 9.0 | 792 | 1.0666 | 0.5984 |
| 0.5524 | 10.0 | 880 | 0.9018 | 0.5909 |
| 0.4279 | 11.0 | 968 | 1.4256 | 0.5672 |
| 0.423 | 12.0 | 1056 | 1.4379 | 0.5571 |
| 0.437 | 13.0 | 1144 | 1.8244 | 0.5507 |
| 0.3844 | 14.0 | 1232 | 1.7702 | 0.5455 |
| 0.4193 | 15.0 | 1320 | 2.4407 | 0.5412 |
| 0.3736 | 16.0 | 1408 | 2.1648 | 0.5369 |
| 0.3675 | 17.0 | 1496 | 2.1035 | 0.5306 |
| 0.2557 | 18.0 | 1584 | 2.3772 | 0.5430 |
| 0.2683 | 19.0 | 1672 | 2.4857 | 0.5430 |
| 0.251 | 20.0 | 1760 | 2.5679 | 0.5306 |
| 0.2913 | 21.0 | 1848 | 2.5935 | 0.5395 |
| 0.2671 | 22.0 | 1936 | 2.6229 | 0.5430 |
| 0.3045 | 23.0 | 2024 | 2.7196 | 0.5430 |
| 0.2878 | 24.0 | 2112 | 2.7983 | 0.5333 |
| 0.388 | 25.0 | 2200 | 2.9204 | 0.5325 |
| 0.308 | 26.0 | 2288 | 2.9649 | 0.5395 |
| 0.3096 | 27.0 | 2376 | 2.9466 | 0.5430 |
| 0.339 | 28.0 | 2464 | 2.9776 | 0.5290 |
| 0.1394 | 29.0 | 2552 | 2.9992 | 0.5290 |
| 0.2073 | 30.0 | 2640 | 3.0120 | 0.5290 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- longformer
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025