opus-mt-ja-en-finetuned-ja-to-en_xml

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

• Loss: 0.7520
• Bleu: 73.8646
• Gen Len: 27.0884

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.0512	1.0	748	0.8333	59.8234	27.905
0.6076	2.0	1496	0.7817	62.5606	26.1834
0.4174	3.0	2244	0.7817	64.8346	28.2918
0.2971	4.0	2992	0.7653	67.6013	27.2222
0.2172	5.0	3740	0.7295	69.4017	27.0174
0.1447	6.0	4488	0.7522	68.8355	28.2865
0.0953	7.0	5236	0.7596	71.4743	27.1861
0.0577	8.0	5984	0.7469	72.0684	26.921
0.04	9.0	6732	0.7526	73.2821	27.1365
0.0213	10.0	7480	0.7520	73.8646	27.0884

Framework versions

• Transformers 4.9.1
• Pytorch 1.10.0+cu111
• Datasets 1.10.2
• Tokenizers 0.10.3