bart_extractive_512_375

jordanfan/bart_extractive_512_375

bart_extractive_512_375 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. --

Downloads · 30 days

29% of all-time downloads

All-time downloads

Public

Parameters

406M

4.9 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.6 GB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Apr 3, 2024
Updated: Apr 3, 2024
SHA: 848f7208

Base models

facebook/bart-large

Model card

From the Hugging Face model README

bart_extractive_512_375

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: 0.9965
Rouge1: 0.6939
Rouge2: 0.4349
Rougel: 0.6334
Rougelsum: 0.6333
Wer: 0.4534

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	1.2428	0.6513	0.3723	0.5834	0.5833	0.5119
2.1522	0.27	500	1.1468	0.6717	0.3957	0.605	0.6049	0.494
2.1522	0.4	750	1.1064	0.6729	0.404	0.609	0.609	0.483
1.2231	0.53	1000	1.0908	0.6762	0.4078	0.6116	0.6115	0.479
1.2231	0.66	1250	1.0726	0.6774	0.4108	0.6137	0.6136	0.4755
1.1583	0.8	1500	1.0581	0.6868	0.4196	0.6246	0.6245	0.4714
1.1583	0.93	1750	1.0534	0.6833	0.4209	0.6215	0.6214	0.4686
1.1133	1.06	2000	1.0330	0.6909	0.4263	0.6297	0.6297	0.4647
1.1133	1.2	2250	1.0288	0.6929	0.4293	0.631	0.6309	0.4626
1.0198	1.33	2500	1.0204	0.6925	0.4303	0.6305	0.6305	0.4601
1.0198	1.46	2750	1.0097	0.6965	0.4336	0.6349	0.6348	0.4582
1.0204	1.6	3000	1.0087	0.6976	0.4359	0.6361	0.636	0.4565
1.0204	1.73	3250	1.0042	0.6949	0.4345	0.6342	0.6342	0.4557
0.9889	1.86	3500	0.9965	0.696	0.4366	0.6352	0.6351	0.4534
0.9889	1.99	3750	0.9965	0.6939	0.4349	0.6334	0.6333	0.4534

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: Apr 3, 2024
Updated: Apr 3, 2024