ko_en_translation_9

This model is a fine-tuned version of inhee/opus-mt-ko-en-finetuned-ko-to-en5 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8852
• Bleu: 45.395
• Gen Len: 38.8647

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: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.2529	1.0	4900	1.0958	40.5188	38.6684
1.0565	2.0	9800	0.9885	42.7968	38.6141
0.9518	3.0	14700	0.9370	43.8495	38.7762
0.8798	4.0	19600	0.9119	44.7342	38.7903
0.8401	5.0	24500	0.8958	45.2518	38.8909
0.8075	6.0	29400	0.8883	45.326	38.8503
0.7934	7.0	34300	0.8852	45.395	38.8647

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3