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finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT – AI Model by datnth1709 | AlphaNeural AI
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finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
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transformers
pytorch
marian
text2text-generation
translation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
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: 1.3069
Bleu: 42.4251
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
1.4437
1.0
186125
1.3648
40.6353
1.3748
2.0
372250
1.3362
41.4991
1.3182
3.0
558375
1.3224
41.9860
1.2829
4.0
744500
1.3113
42.2649
1.2641
5.0
930625
1.3069
42.4233
Framework versions
Transformers 4.22.1
Pytorch 1.10.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
