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opus-mt-ko-en-finetuned-ko-to-en3 – AI Model by norefly | AlphaNeural AI
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opus-mt-ko-en-finetuned-ko-to-en3
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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-en3
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-ko-en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1864
Bleu: 0.7037
Gen Len: 11.0
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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 2048
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
Gen Len
No log
0.99
119
4.4541
0.0
5.0
No log
1.99
238
2.4214
0.3414
16.0
No log
2.99
357
2.2158
0.3212
15.0
No log
3.99
476
2.1737
0.3283
12.0
3.2958
4.99
595
2.1864
0.7037
11.0
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
