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results – AI Model by sanjeev-bhandari01 | AlphaNeural AI
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sanjeev-bhandari01
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
ne
sanjeev-bhandari01/nepali-summarization-dataset
sanjeev-bhandari01/XLSum-nepali-summerization-dataset
pascalrai/nep-summ-BART
finetune
mit
endpoints_compatible
us
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Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
label_smoothing_factor: 0.1
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.2