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finetuned_ClinicalLongformer_negsampling
npark95/finetuned_ClinicalLongformer_negsampling
finetuned_ClinicalLongformer_negsampling 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
- Feb 2, 2025
- Updated
- Feb 3, 2025
- SHA
- de7940a8
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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_negsampling
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: 0.4650
- F1: 0.8741
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6855 | 1.0 | 38 | 0.5065 | 0.7731 |
| 0.4446 | 2.0 | 76 | 0.3917 | 0.8676 |
| 0.3021 | 3.0 | 114 | 0.4088 | 0.8676 |
| 0.2602 | 4.0 | 152 | 0.3813 | 0.8361 |
| 0.2525 | 5.0 | 190 | 0.5171 | 0.7788 |
| 0.2292 | 6.0 | 228 | 0.4650 | 0.8741 |
| 0.1429 | 7.0 | 266 | 0.5181 | 0.8571 |
| 0.1025 | 8.0 | 304 | 0.5355 | 0.8507 |
| 0.1185 | 9.0 | 342 | 0.6183 | 0.8333 |
| 0.0565 | 10.0 | 380 | 0.7438 | 0.8281 |
| 0.0886 | 11.0 | 418 | 0.8736 | 0.8209 |
| 0.0143 | 12.0 | 456 | 0.8986 | 0.8254 |
| 0.051 | 13.0 | 494 | 0.9389 | 0.8130 |
| 0.0254 | 14.0 | 532 | 0.8966 | 0.8333 |
| 0.0121 | 15.0 | 570 | 0.9377 | 0.8333 |
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
- Feb 2, 2025
- Updated
- Feb 3, 2025