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t5-small-finetuned-de-en-256 – AI Model by rossanez | AlphaNeural AI
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rossanez
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t5-small-finetuned-de-en-256
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
wmt14
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-de-en-256
This model is a fine-tuned version of
t5-small
on the wmt14 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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
188
2.2663
4.5343
17.698
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
