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jurisbert-base-classify – AI Model by LucasBorth | AlphaNeural AI
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LucasBorth
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jurisbert-base-classify
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transformers
pytorch
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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jurisbert-base-classify
This model is a fine-tuned version of
juridics/jurisbert-base-portuguese-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4893
Accuracy: 0.8991
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: 2e-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0
Training results
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.12.1
