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pegasus-samsum – AI Model by renimolvr2000 | AlphaNeural AI

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renimolvr2000/
pegasus-samsum

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text2text-generation

generated_from_trainer

google/pegasus-cnn_dailymail

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0