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

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

kaggle-ICU-Readmission-classification-ClinicalT5-T4.3-2025 is a machine learning model from NgechuJohn. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

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At a glance

Model type: t5
Access: Public
Created: Apr 12, 2025
Updated: Apr 13, 2025
SHA: 658b70ab

Model card

From the Hugging Face model README

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

Type: t5
Created: Apr 12, 2025
Updated: Apr 13, 2025