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xlnet_bert_summarization_cnn_dailymail – AI Model by Ayham | AlphaNeural AI
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Ayham
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xlnet_bert_summarization_cnn_dailymail
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transformers
pytorch
tensorboard
encoder-decoder
text2text-generation
generated_from_trainer
cnn_dailymail
endpoints_compatible
us
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xlnet_bert_summarization_cnn_dailymail
This model is a fine-tuned version of
on the cnn_dailymail 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.12.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3
