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opus-mt-en-vi-own-finetuned-en-to-vi – AI Model by ncduy | AlphaNeural AI
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opus-mt-en-vi-own-finetuned-en-to-vi
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transformers
pytorch
tensorboard
marian
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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opus-mt-en-vi-own-finetuned-en-to-vi
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-vi
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.4416
Bleu: 2.1189
Gen Len: 25.153
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
6.2513
1.0
1563
6.0147
0.7038
29.165
5.7184
2.0
3126
5.5631
1.9803
23.915
5.5248
3.0
4689
5.4416
2.1189
25.153
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3
