dgmw-mt-en-ko-results

hswol/dgmw-mt-en-ko-results

dgmw-mt-en-ko-results is a machine learning model from hswol. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: cc-by-4.0
Model type: marian
Access: Public
Created: Oct 29, 2025
Updated: Oct 29, 2025
SHA: 684dca7e

Base models

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

Model card

From the Hugging Face model README

dgmw-mt-en-ko-results

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6391
Bleu: 0.1252

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.6648	1.0	87026	0.6391	0.1252

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.3.0
Tokenizers 0.22.1

Library: transformers
Type: marian
License: cc-by-4.0
Created: Oct 29, 2025
Updated: Oct 29, 2025