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--- |
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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: bert-base-squad-v1.1-pt-IBAMA_v0.220240829211027 |
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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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# bert-base-squad-v1.1-pt-IBAMA_v0.220240829211027 |
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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) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8469 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 16 |
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- eval_batch_size: 16 |
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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: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 40 | 4.1325 | |
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| No log | 2.0 | 80 | 3.8898 | |
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| No log | 3.0 | 120 | 3.8469 | |
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## Evaluation |
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{'exact_match': 1.875, 'f1': 28.811359872147886} |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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