bart-cnn-science-v3-e2

theojolliffe/bart-cnn-science-v3-e2

bart-cnn-science-v3-e2 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 30, 2022
Updated: May 30, 2022
SHA: 2504418b

Model card

From the Hugging Face model README

bart-cnn-science-v3-e2

This model is a fine-tuned version of theojolliffe/bart-cnn-science on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9352
Rouge1: 52.5497
Rouge2: 32.5507
Rougel: 35.0014
Rougelsum: 50.0575
Gen Len: 141.5741

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	398	1.0023	52.0744	31.917	33.2804	49.6569	142.0
1.1851	2.0	796	0.9352	52.5497	32.5507	35.0014	50.0575	141.5741

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: bart
License: mit
Created: May 30, 2022
Updated: May 30, 2022