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--- |
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license: mit |
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base_model: neuralmind/bert-base-portuguese-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: finetune-BERT-squad |
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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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# finetune-BERT-squad |
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0687 |
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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: 2e-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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.4612 | 0.19 | 1000 | 1.3505 | |
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| 1.2999 | 0.37 | 2000 | 1.2518 | |
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| 1.2234 | 0.56 | 3000 | 1.1492 | |
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| 1.1824 | 0.74 | 4000 | 1.1181 | |
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| 1.1169 | 0.93 | 5000 | 1.0850 | |
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| 0.8933 | 1.11 | 6000 | 1.0925 | |
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| 0.9004 | 1.3 | 7000 | 1.0849 | |
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| 0.8706 | 1.49 | 8000 | 1.0976 | |
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| 0.8617 | 1.67 | 9000 | 1.0779 | |
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| 0.8756 | 1.86 | 10000 | 1.0687 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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