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---
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
model-index:
- name: categories-estimation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# categories-estimation
This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/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
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