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distilbart-rehadat – AI Model by mselbach | AlphaNeural AI

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mselbach/
distilbart-rehadat

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text2text-generation

generated_from_trainer

endpoints_compatible

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distilbart-summarization

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.0+cpu
Datasets 1.17.0
Tokenizers 0.11.0