opus-mt-ja-en-finetuned-ja-to-en_test

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: 0.4737
• Bleu: 80.2723
• Gen Len: 16.5492

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: 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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.1237	1.0	247	0.6131	60.9383	16.4152
0.5395	2.0	494	0.5274	67.5705	16.2883
0.3584	3.0	741	0.5122	71.3098	16.3777
0.2563	4.0	988	0.4887	73.6639	16.401
0.138	5.0	1235	0.4796	76.7942	16.4873
0.0979	6.0	1482	0.4849	76.9404	16.6162
0.0792	7.0	1729	0.4806	78.9831	16.5442
0.0569	8.0	1976	0.4765	79.3461	16.4873
0.0299	9.0	2223	0.4751	79.7901	16.4863
0.0204	10.0	2470	0.4737	80.2723	16.5492

Framework versions

• Transformers 4.9.1
• Pytorch 1.9.0+cu111
• Datasets 1.10.2
• Tokenizers 0.10.3