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Final-DeepLearning – AI Model by chamdentimem | AlphaNeural AI
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chamdentimem
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Final-DeepLearning
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-vi
finetune
apache-2.0
endpoints_compatible
us
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Final-DeepLearning
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: 1.6884
Bleu: 26.3182
Gen Len: 11.991
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
1.697
1.0
31250
1.6884
26.3182
11.991
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
