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opus-finetuned-bar-de – AI Model by whher | AlphaNeural AI

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whher/
opus-finetuned-bar-de

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text2text-generation

generated_from_trainer

endpoints_compatible

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opus-finetuned-bar-de

This model is a fine-tuned version of Helsinki-NLP/opus-mt-fr-de on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1789
Bleu: 11.4794
Chrf: 63.0401
Ter: 49.7863

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
train_batch_size: 128
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

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2