VN_ja-en_helsinki – AI Model by twieland | AlphaNeural AI

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VN_ja-en_helsinki

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text2text-generation

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VN_ja-en_helsinki

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

Loss: 2.2409
BLEU: 15.28

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: 0.0003
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.6165	0.19	2000	2.6734
2.3805	0.39	4000	2.6047
2.2793	0.58	6000	2.5461
2.2028	0.78	8000	2.5127
2.1361	0.97	10000	2.4511
1.9653	1.17	12000	2.4331
1.934	1.36	14000	2.3840
1.9002	1.56	16000	2.3901
1.87	1.75	18000	2.3508
1.8408	1.95	20000	2.3082
1.6937	2.14	22000	2.3279
1.6371	2.34	24000	2.3052
1.6264	2.53	26000	2.3071
1.6029	2.72	28000	2.2685
1.5847	2.92	30000	2.2409

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1