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pegasus-samsum – AI Model by MarPla | AlphaNeural AI

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MarPla/
pegasus-samsum

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text2text-generation

generated_from_trainer

google/pegasus-large

endpoints_compatible

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pegasus-samsum

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

Loss: 6.0947
Rouge1: 33.0777
Rouge2: 9.1562
Rougel: 23.8589
Rougelsum: 30.6509
Gen Len: 183.46

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1

Training results

Framework versions

Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1