bart_extractive_512_500

jordanfan/bart_extractive_512_500

bart_extractive_512_500 is a machine learning model from jordanfan. 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 30, 2024
Updated: Mar 30, 2024
SHA: 288c5bc6

Base models

facebook/bart-large

Model card

From the Hugging Face model README

bart_extractive_512_500

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

Loss: 0.9749
Rouge1: 0.7
Rouge2: 0.4441
Rougel: 0.6408
Rougelsum: 0.6409
Wer: 0.4458

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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Wer
No log	0.13	250	1.2262	0.6523	0.3774	0.5876	0.5877	0.5064
2.0992	0.27	500	1.1233	0.6736	0.4029	0.6091	0.6091	0.4868
2.0992	0.4	750	1.1033	0.6826	0.4152	0.6187	0.6188	0.4768
1.1914	0.53	1000	1.0645	0.6812	0.4159	0.6178	0.618	0.4713
1.1914	0.66	1250	1.0493	0.6845	0.4206	0.6217	0.6219	0.4673
1.1319	0.8	1500	1.0348	0.6906	0.427	0.6292	0.6292	0.4649
1.1319	0.93	1750	1.0227	0.6893	0.4289	0.6286	0.6287	0.4596
1.0853	1.06	2000	1.0093	0.6898	0.4297	0.6298	0.6298	0.4575
1.0853	1.2	2250	1.0045	0.6981	0.4381	0.6376	0.6377	0.4547
0.9975	1.33	2500	0.9967	0.6964	0.4394	0.6368	0.6369	0.4511
0.9975	1.46	2750	0.9863	0.6995	0.4419	0.6401	0.6403	0.4495
0.997	1.6	3000	0.9844	0.7016	0.4441	0.642	0.6421	0.4483
0.997	1.73	3250	0.9819	0.6982	0.4431	0.6399	0.64	0.4476
0.9651	1.86	3500	0.9746	0.6994	0.4441	0.6404	0.6406	0.4456
0.9651	1.99	3750	0.9749	0.7	0.4441	0.6408	0.6409	0.4458

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: bart
License: apache-2.0
Created: Mar 30, 2024
Updated: Mar 30, 2024