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bert-qa-es – AI Model by srcocotero | AlphaNeural AI
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srcocotero
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bert-qa-es
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad_es
endpoints_compatible
us
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bert-qa-es
This model is a fine-tuned version of
dccuchile/bert-base-spanish-wwm-uncased
on the squad_es 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: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0
Training results
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1