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pegasus-samsum – AI Model by radev | AlphaNeural AI

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radev/
pegasus-samsum

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text2text-generation

generated_from_trainer

endpoints_compatible

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pegasus-samsum

This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset.

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Framework versions

Transformers 4.11.3
Pytorch 1.11.0
Datasets 1.16.1
Tokenizers 0.10.3