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pegasus-sum – AI Model by egalize | AlphaNeural AI

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egalize/
pegasus-sum

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text2text-generation

generated_from_trainer

google/pegasus-cnn_dailymail

endpoints_compatible

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pegasus-sum

This model is a fine-tuned version of google/pegasus-cnn_dailymail on an unknown 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: 20
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 600
num_epochs: 6

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1