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wmt19-finetuned-law-de-to-en-3 – AI Model by dokyoungkim | AlphaNeural AI

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dokyoungkim/
wmt19-finetuned-law-de-to-en-3

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text2text-generation

generated_from_trainer

dokyoungkim/wmt19-finetuned-law-de-to-en-2

endpoints_compatible

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wmt19-finetuned-law-de-to-en-3

This model is a fine-tuned version of dokyoungkim/wmt19-finetuned-law-de-to-en-2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2315
Bleu: 59.6972

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: 40
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.37.2
Pytorch 2.0.1+cu117
Datasets 2.17.0
Tokenizers 0.15.2