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bart-paraphrase1-finetuned-in-to-fo – AI Model by renatanerenata | AlphaNeural AI
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renatanerenata
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bart-paraphrase1-finetuned-in-to-fo
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bart-paraphrase1-finetuned-in-to-fo
This model is a fine-tuned version of
eugenesiow/bart-paraphrase
on the None 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: 0.002
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: 1
mixed_precision_training: Native AMP
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
