bart_extractive_1024_1000

jordanfan/bart_extractive_1024_1000

bart_extractive_1024_1000 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 19, 2024
Updated: Mar 19, 2024
SHA: 4f35d334

Base models

facebook/bart-large

Model card

From the Hugging Face model README

bart_extractive_1024_1000

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: 0.8802
Rouge1: 0.7215
Rouge2: 0.4773
Rougel: 0.668
Rougelsum: 0.668
Wer: 0.4137
Bleurt: -0.027

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	Bleurt
No log	0.13	250	1.1362	0.6713	0.4064	0.6113	0.6111	0.4774	-0.1118
2.0454	0.27	500	1.0337	0.6869	0.4301	0.6289	0.6288	0.4555	-0.1734
2.0454	0.4	750	1.0002	0.7017	0.4465	0.6435	0.6434	0.4467	-0.357
1.0987	0.53	1000	0.9747	0.7008	0.4469	0.6423	0.6422	0.442	-0.0679
1.0987	0.66	1250	0.9589	0.7092	0.456	0.6521	0.652	0.4363	0.2669
1.0418	0.8	1500	0.9551	0.704	0.4538	0.6486	0.6485	0.4343	-0.1447
1.0418	0.93	1750	0.9316	0.7096	0.4605	0.6546	0.6544	0.4285	-0.0465
1.0031	1.06	2000	0.9150	0.7129	0.4653	0.6584	0.6583	0.4255	-0.1069
1.0031	1.2	2250	0.9094	0.7119	0.4658	0.6577	0.6576	0.4234	-0.4062
0.9052	1.33	2500	0.9101	0.721	0.4736	0.6665	0.6664	0.4206	0.2201
0.9052	1.46	2750	0.8983	0.7161	0.471	0.6619	0.6618	0.4184	0.0117
0.9045	1.6	3000	0.8917	0.7216	0.4762	0.6675	0.6674	0.4169	0.2346
0.9045	1.73	3250	0.8906	0.7167	0.474	0.6643	0.6642	0.4153	-0.0679
0.8767	1.86	3500	0.8797	0.7232	0.4787	0.6698	0.6697	0.4141	0.2346
0.8767	1.99	3750	0.8802	0.7215	0.4773	0.668	0.668	0.4137	-0.027

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 19, 2024
Updated: Mar 19, 2024