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bertimbau-base-finetuned-lener-br-finetuned-peticoes-assuntos – AI Model by Luciano | AlphaNeural AI
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Luciano
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bertimbau-base-finetuned-lener-br-finetuned-peticoes-assuntos
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transformers
pytorch
tensorboard
safetensors
bert
text-classification
generated_from_trainer
pt
mit
autotrain_compatible
endpoints_compatible
us
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bertimbau-base-finetuned-lener-br-finetuned-peticoes-assuntos
This model is a fine-tuned version of
Luciano/bertimbau-base-finetuned-lener-br
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.9930
Accuracy: 0.3575
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
4.7305
1.0
898
3.6586
0.2533
3.4793
2.0
1796
3.2827
0.3029
3.0791
3.0
2694
3.0938
0.3427
2.83
4.0
3592
3.0101
0.3477
2.7427
5.0
4490
2.9930
0.3575
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
