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pegasus-multi_news-NewsSummarization_BBC – AI Model by dalle2 | AlphaNeural AI

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dalle2/
pegasus-multi_news-NewsSummarization_BBC

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text2text-generation

generated_from_trainer

google/pegasus-multi_news

endpoints_compatible

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pegasus-multi_news-NewsSummarization_BBC

This model is a fine-tuned version of google/pegasus-multi_news on the BBC NEWS Articles 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: 2e-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: 50
num_epochs: 2

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1