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Kevincp560/
bart-large-finetuned-pubmed

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

generated_from_trainer

pub_med_summarization_dataset

apache-2.0

model-index

endpoints_compatible

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bart-large-finetuned-pubmed

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

Loss: 1.8135
Rouge1: 10.946
Rouge2: 5.0933
Rougel: 9.5608
Rougelsum: 10.4259
Gen Len: 19.0495

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
2.0861	1.0	4000	1.8909	8.7344	3.6919	7.8804	8.3305	20.0
1.8996	2.0	8000	1.8261	10.2124	4.6212	8.9842	9.7417	17.632
1.7459	3.0	12000	1.8160	9.4933	4.4117	8.3977	9.0758	16.4775
1.6258	4.0	16000	1.8136	10.8248	5.0335	9.4286	10.3123	18.724
1.5214	5.0	20000	1.8135	10.946	5.0933	9.5608	10.4259	19.0495

Framework versions

Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.6

Kevincp560/bart-large-finetuned-pubmed

bart-large-finetuned-pubmed

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kevincp560/
bart-large-finetuned-pubmed