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pegasus-xsum-new-dataset – AI Model by ssardorf | AlphaNeural AI

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ssardorf/
pegasus-xsum-new-dataset

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pegasus-xsum-new-dataset

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

Loss: 1.8355
Rouge1: 48.7306
Rouge2: 34.1291
Rougel: 44.0778
Rougelsum: 45.7139
Gen Len: 30.8889

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.18.0.dev0
Pytorch 1.10.2+cpu
Datasets 1.18.3
Tokenizers 0.11.6