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End of training
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README.md
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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-cased-squad-v1.1-portuguese_v1.1.9
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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-cased-squad-v1.1-portuguese_v1.1.9
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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: 1.1137
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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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| 1.1529 | 1.0 | 4380 | 1.0271 |
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| 0.8121 | 2.0 | 8760 | 1.0192 |
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| 0.5718 | 3.0 | 13140 | 1.1137 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jul03_22-37-23_2055825c29f2/events.out.tfevents.1720046244.2055825c29f2.21686.3
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