metadata

license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
  - generated_from_trainer
model-index:
  - name: categories-estimation
    results: []

categories-estimation

This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training Metrics

Evaluation Metrics

{'eval_loss': 0.3545467257499695, 'eval_F1': 0.8847876543649995, 'eval_Accuracy': 0.9213957759412305, 'eval_runtime': 14.8305, 'eval_samples_per_second': 367.149, 'eval_steps_per_second': 45.919, 'epoch': 1.

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0