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opus-mt-ko-en-finetuned-ko-to-en-2780616 – AI Model by alphahg | AlphaNeural AI
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opus-mt-ko-en-finetuned-ko-to-en-2780616
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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-ko-en-finetuned-ko-to-en-2780616
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-ko-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8435
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
1.0458
1.0
9376
0.9283
0.9423
2.0
18752
0.8607
0.9013
3.0
28128
0.8435
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
