pegasus_tweet_sum

drigger/pegasus_tweet_sum

pegasus_tweet_sum is a machine learning model from drigger. 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: Apr 14, 2023
Updated: Apr 29, 2023
SHA: 1772f473

Model card

From the Hugging Face model README

pegasus_tweet_sum

This model is a fine-tuned version of transformersbook/pegasus-samsum on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3260
Rouge1: 27.0091
Rouge2: 9.1616
Rougel: 19.9548
Rougelsum: 23.608
Gen Len: 50.6667

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: 0.0002
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	44	2.2587	26.8137	8.4052	18.7378	22.5031	48.25
No log	2.0	88	2.3260	27.0091	9.1616	19.9548	23.608	50.6667

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Tokenizers 0.13.3

Library: transformers
Type: pegasus
Created: Apr 14, 2023
Updated: Apr 29, 2023