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t5-tiny-random-length-128-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro – AI Model by ffsouza | AlphaNeural AI
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t5-tiny-random-length-128-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
wmt16_en_ro_pre_processed
text-generation-inference
endpoints_compatible
us
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t5-tiny-random-length-128-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro
This model is a fine-tuned version of
patrickvonplaten/t5-tiny-random
on the wmt16_en_ro_pre_processed 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: 2e-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
num_epochs: 1
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu102
Datasets 1.15.1
Tokenizers 0.10.3
