results – AI Model by Meli101 | AlphaNeural AI

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text-classification

generated_from_trainer

microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4228
Precision: 0.9215
Recall: 0.9209
Accuracy: 0.9211
F1: 0.9210

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: 2e-05
train_batch_size: 16
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	Precision	Recall	Accuracy	F1
No log	1.0	308	0.3266	0.8847	0.8822	0.8820	0.8824
0.4217	2.0	616	0.3034	0.9072	0.9066	0.9064	0.9065
0.4217	3.0	924	0.3483	0.9171	0.9170	0.9170	0.9171
0.163	4.0	1232	0.3952	0.9227	0.9227	0.9227	0.9226
0.0722	5.0	1540	0.4228	0.9215	0.9209	0.9211	0.9210

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2