bart-samsum

ThanhDVi/bart-samsum

bart-samsum is a machine learning model from ThanhDVi. 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: May 7, 2023
Updated: May 7, 2023
SHA: 1332e28a

Datasets

samsum

Model card

From the Hugging Face model README

bart-samsum

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

Loss: 1.5071
Rouge1: 0.4835
Rouge2: 0.2546
Rougel: 0.4128
Rougelsum: 0.4131
Gen Len: 17.9817

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
1.8082	1.0	2947	1.5613	0.4763	0.2412	0.4043	0.4041	17.9332
1.5609	2.0	5894	1.5206	0.4827	0.2485	0.4082	0.4085	18.3169
1.4228	3.0	8841	1.5008	0.4851	0.2557	0.4138	0.4137	17.9851
1.3131	4.0	11788	1.5071	0.4835	0.2546	0.4128	0.4131	17.9817

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: bart
License: apache-2.0
Created: May 7, 2023
Updated: May 7, 2023