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tst-summarization – AI Model by ChaniM | AlphaNeural AI

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ChaniM/
tst-summarization

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text2text-generation

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tst-summarization

This model is a fine-tuned version of google/pegasus-xsum on the cnn_dailymail 3.0.0 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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.28.0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3