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opus-mt-en-ru-finetuned-en-to-ru-amls – AI Model by ktadzjibov | AlphaNeural AI
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opus-mt-en-ru-finetuned-en-to-ru-amls
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transformers
pytorch
marian
text2text-generation
generated_from_trainer
wmt16
Helsinki-NLP/opus-mt-en-ru
finetune
apache-2.0
model-index
endpoints_compatible
us
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opus-mt-en-ru-finetuned-en-to-ru-amls
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ru
on the wmt16 dataset. It achieves the following results on the evaluation set:
Loss: 1.2832
Bleu: 28.7642
Gen Len: 29.495
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
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.9806
1.0
94761
1.2832
28.7642
29.495
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
