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---
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library_name: transformers
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license: mit
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base_model: unicamp-dl/ptt5-base-portuguese-vocab
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-portuguese-quiz
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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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# t5-portuguese-quiz
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This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7499
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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: 4
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- eval_batch_size: 4
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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: 10
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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 | 7 | 38.9123 |
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| 37.0215 | 2.0 | 14 | 19.7826 |
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| 20.0237 | 3.0 | 21 | 9.3822 |
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| 20.0237 | 4.0 | 28 | 6.4034 |
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| 8.472 | 5.0 | 35 | 4.0273 |
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| 4.6509 | 6.0 | 42 | 2.0258 |
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| 4.6509 | 7.0 | 49 | 1.0862 |
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| 2.3018 | 8.0 | 56 | 0.8273 |
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| 1.5773 | 9.0 | 63 | 0.7654 |
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| 1.3641 | 10.0 | 70 | 0.7499 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cpu
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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