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MachineTranslation – AI Model by ShyamVarahagiri | AlphaNeural AI | AlphaNeural AI
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ShyamVarahagiri
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MachineTranslation
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
opus100
apache-2.0
endpoints_compatible
us
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MachineTranslation
This model is a fine-tuned version of
ShyamVarahagiri/MachineTranslation
on the opus100 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: 0.0003
train_batch_size: 48
eval_batch_size: 48
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 768
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
295
2.2160
15.007
11.698
Framework versions
Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
