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marian-finetuned-en-map – AI Model by raphaelmerx | AlphaNeural AI

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raphaelmerx/
marian-finetuned-en-map

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text2text-generation

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marian-finetuned-en-map

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

eval_loss: 1.0542
eval_bleu: 30.0673
eval_runtime: 870.8596
eval_samples_per_second: 14.467
eval_steps_per_second: 0.226
epoch: 2.29
step: 17104

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: 32
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

Framework versions

Transformers 4.13.0
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3