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distilled-mt5-base-pseudo-labeling – AI Model by Lvxue | AlphaNeural AI
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Lvxue
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distilled-mt5-base-pseudo-labeling
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
en
ro
Lvxue/wmt16
apache-2.0
model-index
endpoints_compatible
us
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distilled-mt5-base-pseudo-labeling
This model is a fine-tuned version of
google/mt5-small
on the Lvxue/wmt16 ro-en dataset. It achieves the following results on the evaluation set:
Loss: 1.6487
Bleu: 24.1355
Gen Len: 44.1211
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1
