bart-large-cnn-finetuned-roundup-2

theojolliffe/bart-large-cnn-finetuned-roundup-2

bart-large-cnn-finetuned-roundup-2 is a machine learning model from theojolliffe. 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 mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: May 3, 2022
Updated: May 3, 2022
SHA: 3d92c73f

Model card

From the Hugging Face model README

bart-large-cnn-finetuned-roundup-2

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: 1.2605
Rouge1: 49.3582
Rouge2: 29.7017
Rougel: 30.6996
Rougelsum: 46.3736
Gen Len: 142.0

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: 2
eval_batch_size: 2
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	Gen Len
No log	1.0	132	1.3168	49.5253	30.0497	31.3982	46.9568	142.0
No log	2.0	264	1.2605	49.3582	29.7017	30.6996	46.3736	142.0

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: bart
License: mit
Created: May 3, 2022
Updated: May 3, 2022