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Kevincp560/
bart-base-finetuned-pubmed

Name: bart-base-finetuned-pubmed
Availability: InStock

generated_from_trainer

pub_med_summarization_dataset

apache-2.0

model-index

endpoints_compatible

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bart-base-finetuned-pubmed

This model is a fine-tuned version of facebook/bart-base on the pub_med_summarization_dataset dataset. It achieves the following results on the evaluation set:

Loss: 2.0277
Rouge1: 9.3963
Rouge2: 4.0473
Rougel: 8.4526
Rougelsum: 8.9659
Gen Len: 20.0

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.3706	1.0	4000	2.1245	9.1644	3.8264	8.2223	8.718	20.0
2.2246	2.0	8000	2.0811	9.023	3.7716	8.1453	8.5998	20.0
2.1034	3.0	12000	2.0469	9.4412	4.0783	8.4949	8.9977	20.0
2.0137	4.0	16000	2.0390	9.2261	3.9307	8.3154	8.7937	20.0
1.9288	5.0	20000	2.0277	9.3963	4.0473	8.4526	8.9659	20.0

Framework versions

Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.6

Kevincp560/bart-base-finetuned-pubmed

bart-base-finetuned-pubmed

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kevincp560/
bart-base-finetuned-pubmed