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eng-fra-wsample.32a – AI Model by aroot | AlphaNeural AI

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aroot/
eng-fra-wsample.32a

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text2text-generation

generated_from_trainer

endpoints_compatible

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eng-fra-wsample.32a

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1237
Bleu: 32.9191

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: 32
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 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3