bart-large-cnn-ing-extraction

theojolliffe/bart-large-cnn-ing-extraction

bart-large-cnn-ing-extraction 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 29, 2023
Updated: May 29, 2023
SHA: aa7c6946

Model card

From the Hugging Face model README

bart-large-cnn-ing-extraction

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: 1.8043
Rouge1: 10.4409
Rouge2: 3.3584
Rougel: 10.3769
Rougelsum: 10.3943
Gen Len: 57.7443

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.1692	1.0	762	1.8043	10.4409	3.3584	10.3769	10.3943	57.7443

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: bart
License: mit
Created: May 29, 2023
Updated: May 29, 2023