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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: result |
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results: [] |
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--- |
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# result |
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This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8031 |
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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: 5e-05 |
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- train_batch_size: 2 |
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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: 3.0 |
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### Training results |
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### Eval metrics |
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epoch = 3.0 |
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eval_loss = 0.8031 |
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eval_runtime = 0:02:17.77 |
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eval_samples = 134 |
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eval_samples_per_second = 0.973 |
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eval_steps_per_second = 0.123 |
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perplexity = 2.2325 |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.10.0+cu102 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
