kaggle-ICU-Readmission-classification-ClinicalT5-T4.2-2025
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2709
- F1: 63.8976
- Gen Len: 2.4840
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- 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 | F1 | Gen Len |
|---|
| 0.3661 | 1.0 | 3281 | 0.2637 | 62.9957 | 2.5041 |
| 0.2576 | 2.0 | 6562 | 0.2611 | 63.5698 | 2.4847 |
| 0.2366 | 3.0 | 9843 | 0.2709 | 63.8976 | 2.4840 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.13.3
