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albert-punctuation – AI Model by Wikidepia | AlphaNeural AI
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Wikidepia
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albert-punctuation
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transformers
pytorch
albert
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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albert-puncapital
This model is a fine-tuned version of
indobert-lite-base-p2
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: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.20.0.dev0
Pytorch 1.11.0
Datasets 2.2.2
Tokenizers 0.12.1
