kobart-trans-en-ko-v2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7926
Bleu: 5.3159
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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3
https://huggingface.co/dylanmengzhou/kobart-trans-en-ko-v2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7926
Bleu: 5.3159
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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3
https://huggingface.co/dylanmengzhou/kobart-trans-en-ko-v2