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t5-3b-summarization-gaudi-2 – AI Model by regisss | AlphaNeural AI
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t5-3b-summarization-gaudi-2
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transformers
pytorch
tensorboard
optimum_habana
t5
text2text-generation
generated_from_trainer
cnn_dailymail
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-3b-summarization-gaudi-2
This model is a fine-tuned version of
t5-3b
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.24.0
Pytorch 1.12.0a0+git7392344
Datasets 2.7.1
Tokenizers 0.13.2
