bart_abstract_summarization

jgriffi/bart_abstract_summarization

bart_abstract_summarization is a machine learning model from jgriffi. 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 mit.

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

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At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Jul 14, 2022
Updated: Jul 14, 2022
SHA: d1f31aff

Model card

From the Hugging Face model README

bart_abstract_summarization

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1852

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0559	0.25	500	0.1601
0.0068	0.49	1000	0.2571
0.0016	0.74	1500	0.4330
0.0001	0.99	2000	0.1852

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Library: transformers
Type: bart
License: mit
Created: Jul 14, 2022
Updated: Jul 14, 2022