bart-samsung-test

Yanjie24/bart-samsung-test

bart-samsung-test is a machine learning model from Yanjie24. 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: Dec 11, 2022
Updated: Dec 11, 2022
SHA: 457b9fc8

Datasets

samsum

Model card

From the Hugging Face model README

bart-samsung-test

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: 1.5511
Rouge1: 46.7195
Rouge2: 23.3711
Rougel: 39.5121
Rougelsum: 43.2091
Gen Len: 17.7738

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
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6838	1.0	1841	1.5511	46.7195	23.3711	39.5121	43.2091	17.7738

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2

Library: transformers
Type: bart
License: apache-2.0
Created: Dec 11, 2022
Updated: Dec 11, 2022