mekjr1/opus-mt-en-es-finetuned-es-to-guc

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opus-mt-en-es-finetuned-es-to-guc

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

• —Loss: 1.6597
• —Bleu: 1.5766
• —Gen Len: 96.0814

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.28.0
• —Pytorch 2.0.0+cu118
• —Datasets 2.11.0
• —Tokenizers 0.13.3