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gayanin/
med_masked_pubmed_articles_biogpt

Name: med_masked_pubmed_articles_biogpt
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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med_masked_pubmed_articles_biogpt

This model is a fine-tuned version of microsoft/biogpt on a med_masked_pubmed_articles dataset. It achieves the following results on the evaluation set:

Loss: 3.1952
Rouge2 Precision: 0.7072
Rouge2 Recall: 0.7001
Rouge2 Fmeasure: 0.7025

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
3.1392	1.0	7914	3.0945	0.7075	0.7001	0.7026
2.927	2.0	15828	3.0705	0.7074	0.7001	0.7026
2.8558	3.0	23742	3.0877	0.7073	0.7001	0.7025
2.7035	4.0	31656	3.1354	0.7073	0.7001	0.7026
2.6209	5.0	39570	3.1952	0.7072	0.7001	0.7025

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

gayanin/med_masked_pubmed_articles_biogpt

med_masked_pubmed_articles_biogpt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gayanin/
med_masked_pubmed_articles_biogpt