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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: categories-estimation |
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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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# categories-estimation |
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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 the None dataset. |
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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 Metrics |
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Step Training Loss Validation Loss F1 Accuracy |
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100 0.257000 0.432904 0.853367 0.905234 |
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200 0.241600 0.431226 0.848656 0.903030 |
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300 0.242200 0.407710 0.865890 0.908356 |
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400 0.201600 0.375613 0.881634 0.918825 |
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500 0.181400 0.378719 0.879368 0.916988 |
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600 0.168800 0.361804 0.885401 0.920478 |
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## Evaluation Metrics |
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{'eval_loss': 0.3545467257499695, |
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'eval_F1': 0.8847876543649995, |
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'eval_Accuracy': 0.9213957759412305, |
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'eval_runtime': 14.8305, |
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'eval_samples_per_second': 367.149, |
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'eval_steps_per_second': 45.919, |
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'epoch': 1. |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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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: 1 |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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