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opus-mt-en-ru-finetuned-en-to-ru – AI Model by Jatana | AlphaNeural AI
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opus-mt-en-ru-finetuned-en-to-ru
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transformers
pytorch
tensorboard
fsmt
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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opus-mt-en-ru-finetuned-en-to-ru
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ru
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7896
Bleu: 33.7593
Gen Len: 28.0018
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
0.8746
1.0
2500
0.7896
33.7593
28.0018
Framework versions
Transformers 4.29.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
