my_awesome_opus_books_model

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: 4.4960
• Bleu: 0.007
• Gen Len: 213.19

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
4.7441	1.0	50	4.4915	0.0069	212.985
4.2174	2.0	100	4.4960	0.007	213.19

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1