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+ ---
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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_base-qg-ap-peft-oficial
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+ results: []
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+ ---
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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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+
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+ # t5_base-qg-ap-peft-oficial
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+
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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: 15.9549
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 13.2241 | 1.0 | 2367 | 16.4507 |
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+ | 12.9503 | 2.0 | 4734 | 16.2224 |
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+ | 12.8425 | 3.0 | 7101 | 16.0670 |
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+ | 12.8058 | 4.0 | 9468 | 15.9792 |
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+ | 12.7937 | 5.0 | 11835 | 15.9549 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.1