kaggle-ICU-Readmission-classification-ClinicalT5-T3
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2681
- F1: 62.0348
- Gen Len: 2.5331
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: 0.001
- 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 |
|---|
| 0.311 | 1.0 | 3281 | 0.2715 | 60.5103 | 2.6092 |
| 0.2808 | 2.0 | 6562 | 0.2657 | 60.4768 | 2.3645 |
| 0.262 | 3.0 | 9843 | 0.2681 | 62.0348 | 2.5331 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.13.3
