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rbcurzon/
opus-ph-ph

Name: opus-ph-ph
Availability: InStock

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opus-ph-ph

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

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu Global
0.6364	1.0	1268	1.9412	25.9524
0.1826	2.0	2536	2.2076	25.5630
0.1035	3.0	3804	2.3956	28.8255
0.06	4.0	5072	2.5487	28.1852
0.0436	5.0	6340	2.6189	28.7365
0.0298	6.0	7608	2.7528	28.4879