bart-large-cnn-finetuned-p7_V2

laurenmit/bart-large-cnn-finetuned-p7_V2

bart-large-cnn-finetuned-p7_V2 is a machine learning model from laurenmit. 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 24, 2023
Updated: May 24, 2023
SHA: 0a07c77a

Model card

From the Hugging Face model README

bart-large-cnn-finetuned-p7_V2

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0742
Rouge1: 54.2238
Rouge2: 44.1502
Rougel: 49.9702
Rougelsum: 51.9939
Gen Len: 65.3454

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.6948	1.0	910	0.8121	51.6637	41.9437	48.1988	49.7012	68.7993
0.3042	2.0	1820	0.9086	52.4291	42.1856	48.6079	50.2419	66.2829
0.1471	3.0	2730	1.0742	54.2238	44.1502	49.9702	51.9939	65.3454

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: bart
License: mit
Created: May 24, 2023
Updated: May 24, 2023