bart-med-term-conditional-masking

gayanin/bart-med-term-conditional-masking

bart-med-term-conditional-masking is a machine learning model from gayanin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Mar 23, 2022
Updated: Mar 23, 2022
SHA: cec6198b

Model card

From the Hugging Face model README

bart-med-term-conditional-masking

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

Loss: 0.5115
Rouge2 Precision: 0.7409
Rouge2 Recall: 0.5343
Rouge2 Fmeasure: 0.6025

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: 8
eval_batch_size: 8
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	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.6278	1.0	15827	0.5546	0.7255	0.5244	0.5908
0.5356	2.0	31654	0.5286	0.7333	0.5293	0.5966
0.4757	3.0	47481	0.5154	0.7376	0.532	0.5998
0.4337	4.0	63308	0.5107	0.7406	0.5342	0.6023
0.4045	5.0	79135	0.5115	0.7409	0.5343	0.6025

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6

Library: transformers
Type: bart
License: apache-2.0
Created: Mar 23, 2022
Updated: Mar 23, 2022