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opus-mt-de-en-finetuned-de-to-en – AI Model by PontifexMaximus | AlphaNeural AI

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PontifexMaximus/
opus-mt-de-en-finetuned-de-to-en

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text2text-generation

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opus-mt-de-en-finetuned-de-to-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on the wmt14 dataset. It achieves the following results on the evaluation set:

eval_loss: 1.3411
eval_bleu: 32.4395
eval_gen_len: 29.6925
eval_runtime: 2250.0489
eval_samples_per_second: 19.998
eval_steps_per_second: 0.625
epoch: 3.0
step: 4221

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-06
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 11
mixed_precision_training: Native AMP

Framework versions

Transformers 4.19.2
Pytorch 1.7.1+cu110
Datasets 2.2.2
Tokenizers 0.12.1