pegasus-model3

theojolliffe/pegasus-model3

pegasus-model3 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.

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

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At a glance

Library: transformers
Model type: pegasus
Access: Public
Created: Sep 3, 2022
Updated: Sep 7, 2022
SHA: 2fa7b4cc

Model card

From the Hugging Face model README

pegasus-model3

This model is a fine-tuned version of theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2808
Rouge1: 70.5507
Rouge2: 66.5776
Rougel: 64.6438
Rougelsum: 70.0264
Gen Len: 123.7447

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.4839	1.0	748	0.2808	70.5507	66.5776	64.6438	70.0264	123.7447

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Library: transformers
Type: pegasus
Created: Sep 3, 2022
Updated: Sep 7, 2022