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plt5-base_normalizer_test_pruned – AI Model by kdudzic | AlphaNeural AI
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plt5-base_normalizer_test_pruned
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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out
This model is a fine-tuned version of
allegro_plt5-base_training_20231005_133539_pruned/out
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
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
