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finetuned-kde4-en-to-ko – AI Model by youngandbin | AlphaNeural AI

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finetuned-kde4-en-to-ko

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Helsinki-NLP/opus-mt-tc-big-en-ko

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finetuned-kde4-en-to-ko

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on the kde4 dataset. It achieves the following results on the evaluation set:

Loss: 2.3106
Bleu: 11.2212

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
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1