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mbart_mt_entatrans – AI Model by balaramas | AlphaNeural AI

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balaramas/
mbart_mt_entatrans

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text2text-generation

generated_from_trainer

facebook/mbart-large-50-many-to-many-mmt

endpoints_compatible

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mbart_mt_entatrans

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset.

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Framework versions

Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1