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--- |
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library_name: transformers |
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license: mit |
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base_model: pierreguillou/bert-base-cased-squad-v1.1-portuguese |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ibama_29102024_20241029175942 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ibama_29102024_20241029175942 |
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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). |
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## Model description |
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Dataset com 1750 registros. |
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Média do tamanho dos contextos: 2467.439831104856 |
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["train"] : 1421 registros |
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["test"] : 329 registros |
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{'exact_match': 6.990881458966565, 'f1': 41.36428322707063} |
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## Resultados: |
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### :: Filtrando registros de ['test'] onde o contexto possuia até 6697 caracteres. |
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Modelo: ibama_29102024_20241029175942 : |
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'exact_match': 3.9755351681957185, 'f1': 38.429269059347 |
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Modelo: pierreguillou/bert-base-cased-squad-v1.1-portuguese : |
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'exact_match': 6.422018348623853, 'f1': 37.47550481021018 |
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Modelo: neuralmind/bert-base-portuguese-cased : |
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'exact_match': 0.0, 'f1': 21.520346204352514 |
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### :: Filtrando registros de ['test'] onde o contexto possuia até 512 caracteres. |
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Modelo: ibama_29102024_20241029175942 : |
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'exact_match': 12.67605633802817, 'f1': 70.76635146201694 |
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Modelo: pierreguillou/bert-base-cased-squad-v1.1-portuguese : |
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'exact_match': 1.408450704225352, 'f1': 38.42469128241023 |
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Modelo: neuralmind/bert-base-portuguese-cased : |
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'exact_match': 0.0, 'f1': 15.264048430063177 |
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### Training results |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1817 |
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Epoch Training Loss Validation Loss |
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1 No log 4.598662 |
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2 No log 4.266841 |
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3 No log 4.225364 |
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4 No log 4.181730 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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### Notebook |
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https://colab.research.google.com/drive/1q1tZ7qkcjsNYrt3VLbrJ6C72mZihFzGm |
