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EN-VI-Machine-Translation-RNN – AI Model by KanWasTaken | AlphaNeural AI
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EN-VI-Machine-Translation-RNN
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EN-VI-Machine-Translation-RNN
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7148
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: 5e-05
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
4.1067
1.0
521
1.1409
0.9338
2.0
1042
0.7844
0.8163
3.0
1563
0.7367
0.7872
4.0
2084
0.7194
0.777
5.0
2605
0.7148
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
