opus_books_MarianMT

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

• Loss: 4.0953
• Bleu: 0.2971
• Gen Len: 12.87

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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
4.0041	1.0	500	4.1313	0.1929	13.9675
3.5933	2.0	1000	4.0953	0.2971	12.87

Framework versions

• Transformers 4.55.0
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.4