finetuned_on_citesum_bart_text_summarisation

Madan490/finetuned_on_citesum_bart_text_summarisation

finetuned_on_citesum_bart_text_summarisation is a summarization model from Madan490. Use it when you need a shorter version of a longer text. 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

2% of all-time downloads

All-time downloads

418

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

Task: Summarization
Library: transformers
License: mit
Model type: bart
Access: Public
Created: Jun 17, 2024
Updated: Jun 17, 2024
SHA: ad44bb5c

Try a prompt

Datasets

yuningm/citesum

Model card

From the Hugging Face model README

finetuned_on_citesum_bart_text_summarisation

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

Loss: 0.3597
Rouge1: 0.3541
Rouge2: 0.1548
Rougel: 0.2659
Rougelsum: 0.2657
Gen Len: 67.0143

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	350	0.3449	0.3492	0.1554	0.2685	0.268	68.7357
0.5359	2.0	700	0.3458	0.3516	0.1531	0.2647	0.2646	67.0714
0.2219	3.0	1050	0.3597	0.3541	0.1548	0.2659	0.2657	67.0143

Framework versions

Transformers 4.30.0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.13.3

Task: Summarization
Library: transformers
Type: bart
License: mit
Languages: en
Created: Jun 17, 2024
Updated: Jun 17, 2024