bart-large-cnn-billsum

StatsGary/bart-large-cnn-billsum

bart-large-cnn-billsum is a machine learning model from StatsGary. 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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

312

Public

Repo size

6.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.6 GB · 100%

At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Mar 15, 2023
Updated: Mar 16, 2023
SHA: e96ae59b

Datasets

billsum

Model card

From the Hugging Face model README

bart-large-cnn-billsum

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

Loss: 1.7658
Rouge1: 0.5014
Rouge2: 0.2463
Rougel: 0.3189
Rougelsum: 0.3752
Gen Len: 125.5645

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	248	1.8112	0.4809	0.2299	0.3067	0.3716	113.1371
No log	2.0	496	1.7501	0.5089	0.2484	0.325	0.3844	123.9435
1.7258	3.0	744	1.7386	0.5008	0.2412	0.3163	0.3732	127.2056
1.7258	4.0	992	1.7658	0.5014	0.2463	0.3189	0.3752	125.5645

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Library: transformers
Type: bart
License: mit
Created: Mar 15, 2023
Updated: Mar 16, 2023