ICU_Returns_Gatortron – AI Model by moro01525 | AlphaNeural AI

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moro01525/
ICU_Returns_Gatortron

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text-classification

generated_from_trainer

UFNLP/gatortron-base

autotrain_compatible

endpoints_compatible

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ICU_Returns_Gatortron

This model is a fine-tuned version of UFNLP/gatortron-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7852
F1:: 0.7203
Roc Auc: 0.7335
Precision with 0:: 0.9126
Precision with 1:: 0.6628
Recall with 0:: 0.5165
Recal with 1:: 0.9505
Accuracy:: 0.7335

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: 0.0001
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1:	Roc Auc	Precision with 0:	Precision with 1:	Recall with 0:	Recal with 1:	Accuracy:
No log	1.0	46	0.6889	0.6965	0.7115	0.8812	0.6464	0.4890	0.9341	0.7115
No log	2.0	92	0.7628	0.7287	0.7390	0.8919	0.6719	0.5440	0.9341	0.7390
No log	3.0	138	1.8927	0.6372	0.6703	0.9306	0.6062	0.3681	0.9725	0.6703
No log	4.0	184	1.7208	0.7236	0.7363	0.9135	0.6654	0.5220	0.9505	0.7363
No log	5.0	230	1.7852	0.7203	0.7335	0.9126	0.6628	0.5165	0.9505	0.7335

Framework versions

Transformers 4.34.0
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.1