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IndicBart_paraphrase – AI Model by sharifMunna | AlphaNeural AI
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IndicBart_paraphrase
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
ai4bharat/IndicBART
finetune
endpoints_compatible
us
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IndicBart_paraphrase
This model is a fine-tuned version of
ai4bharat/IndicBART
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
