End of training
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README.md
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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:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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:
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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 |
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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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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: 47.4780
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-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: 5
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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 | 53.1720 |
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| 40.7453 | 2.0 | 14 | 50.8278 |
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| 38.9149 | 3.0 | 21 | 49.0209 |
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| 38.9149 | 4.0 | 28 | 47.8934 |
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| 37.3341 | 5.0 | 35 | 47.4780 |
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### Framework versions
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model.safetensors
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size 891644712
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