kaggle-ICU-Readmission-classification-ClinicalT5-T4.3-2025

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2602
• F1: 59.5471
• Gen Len: 2.4956

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Gen Len
0.3653	1.0	3281	0.2636	63.0732	2.5515
0.2588	2.0	6562	0.2598	64.0693	2.3984
0.2409	3.0	9843	0.2693	62.8036	2.3438
0.2146	4.0	13124	0.2981	62.7141	2.5492
0.1784	5.0	16405	0.3648	62.0885	2.4511
0.1423	6.0	19686	0.5066	60.9978	2.4956
0.1109	7.0	22967	0.6761	60.6441	2.4432
0.0904	8.0	26248	0.8635	60.2367	2.4630
0.0731	9.0	29529	1.1035	59.3468	2.5084
0.0542	10.0	32810	1.2602	59.5471	2.4956

Framework versions

• Transformers 4.28.1
• Pytorch 2.5.1+cu124
• Datasets 3.5.0
• Tokenizers 0.13.3