---
library_name: transformers
license: mit
base_model: pierreguillou/bert-base-cased-squad-v1.1-portuguese
tags:
- generated_from_trainer
model-index:
- name: ibama_29102024_20241029175942
  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. -->

# ibama_29102024_20241029175942

This model is a fine-tuned version of [pierreguillou/bert-base-cased-squad-v1.1-portuguese](https://huggingface.co/pierreguillou/bert-base-cased-squad-v1.1-portuguese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1817

## Model description

Dataset com 1750 registros. 
Média do tamanho dos contextos: 2467.439831104856

["train"] : 1421 registros

["test"]  : 329 registros 20%

{'exact_match': 6.990881458966565, 'f1': 41.36428322707063}



## Resultados: 

### Resultados com contexto com 6697 caracteres
    
" content/sample_data/ibama_29102024_20241029175942 : 
    'exact_match': 3.9755351681957185, 'f1': 38.429269059347 ",
" pierreguillou/bert-base-cased-squad-v1.1-portuguese : 
    'exact_match': 6.422018348623853, 'f1': 37.47550481021018 ",
" neuralmind/bert-base-portuguese-cased : 
    'exact_match': 0.0, 'f1': 21.520346204352514 "

### Resultados com contexto com 512 caracteres

" content/sample_data/ibama_29102024_20241029175942 : 
    'exact_match': 12.67605633802817, 'f1': 70.76635146201694 ",
" pierreguillou/bert-base-cased-squad-v1.1-portuguese : 
    'exact_match': 1.408450704225352, 'f1': 38.42469128241023 ",
" neuralmind/bert-base-portuguese-cased : 
    'exact_match': 0.0, 'f1': 15.264048430063177 "

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 45   | 4.5987          |
| No log        | 2.0   | 90   | 4.2668          |
| No log        | 3.0   | 135  | 4.2254          |
| No log        | 4.0   | 180  | 4.1817          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1