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finetuned_ClinicalLongformer_negsampling_llama_2575
npark95/finetuned_ClinicalLongformer_negsampling_llama_2575
finetuned_ClinicalLongformer_negsampling_llama_2575 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 3, 2025
- Updated
- Feb 3, 2025
- SHA
- a0741c49
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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_llama_2575
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: 0.1546
- F1: 0.9281
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 |
|---|---|---|---|---|
| 0.2101 | 1.0 | 76 | 0.2707 | 0.825 |
| 0.2161 | 2.0 | 152 | 0.1818 | 0.9178 |
| 0.372 | 3.0 | 228 | 0.1546 | 0.9281 |
| 0.1678 | 4.0 | 304 | 0.1724 | 0.9054 |
| 0.1615 | 5.0 | 380 | 0.2070 | 0.9079 |
| 0.1595 | 6.0 | 456 | 0.2347 | 0.9103 |
| 0.0517 | 7.0 | 532 | 0.2861 | 0.8936 |
| 0.08 | 8.0 | 608 | 0.3332 | 0.8732 |
| 0.1124 | 9.0 | 684 | 0.3660 | 0.8767 |
| 0.0279 | 10.0 | 760 | 0.2867 | 0.9028 |
| 0.0043 | 11.0 | 836 | 0.3631 | 0.8889 |
| 0.0299 | 12.0 | 912 | 0.3500 | 0.9041 |
| 0.0005 | 13.0 | 988 | 0.3502 | 0.9041 |
| 0.0027 | 14.0 | 1064 | 0.3698 | 0.8966 |
| 0.0004 | 15.0 | 1140 | 0.3696 | 0.9041 |
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 3, 2025
- Updated
- Feb 3, 2025