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ko-jeolla-nmt-v2 – AI Model by leadawon | AlphaNeural AI
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ko-jeolla-nmt-v2
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transformers
pytorch
tensorboard
encoder-decoder
text2text-generation
generated_from_trainer
endpoints_compatible
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ko-jeolla-nmt-v2
This model is a fine-tuned version of
leadawon/ko-jeolla-nmt-v1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2911
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: 24
eval_batch_size: 24
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2926
0.17
500
0.3283
0.3111
0.33
1000
0.3344
0.3009
0.5
1500
0.3138
0.2868
0.66
2000
0.3030
0.2653
0.83
2500
0.2969
0.2493
0.99
3000
0.2911
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Tokenizers 0.13.2
