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--- |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: pijarcandra22/t5Indo2Jawa |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# pijarcandra22/t5Indo2Jawa |
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This model is a fine-tuned version of [t5-small](https://huggingface.co./t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.3937 |
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- Validation Loss: 2.1657 |
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- Epoch: 28 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 3.5149 | 3.1567 | 0 | |
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| 3.3816 | 3.0397 | 1 | |
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| 3.2812 | 2.9518 | 2 | |
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| 3.1977 | 2.8751 | 3 | |
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| 3.1223 | 2.8078 | 4 | |
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| 3.0599 | 2.7507 | 5 | |
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| 3.0019 | 2.6979 | 6 | |
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| 2.9517 | 2.6513 | 7 | |
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| 2.9034 | 2.6121 | 8 | |
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| 2.8638 | 2.5756 | 9 | |
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| 2.8232 | 2.5391 | 10 | |
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| 2.7856 | 2.5089 | 11 | |
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| 2.7541 | 2.4786 | 12 | |
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| 2.7219 | 2.4499 | 13 | |
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| 2.6935 | 2.4256 | 14 | |
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| 2.6658 | 2.4010 | 15 | |
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| 2.6389 | 2.3762 | 16 | |
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| 2.6143 | 2.3550 | 17 | |
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| 2.5899 | 2.3313 | 18 | |
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| 2.5665 | 2.3156 | 19 | |
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| 2.5445 | 2.2939 | 20 | |
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| 2.5224 | 2.2750 | 21 | |
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| 2.5022 | 2.2569 | 22 | |
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| 2.4834 | 2.2410 | 23 | |
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| 2.4641 | 2.2220 | 24 | |
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| 2.4443 | 2.2091 | 25 | |
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| 2.4267 | 2.1948 | 26 | |
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| 2.4129 | 2.1796 | 27 | |
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| 2.3937 | 2.1657 | 28 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.14.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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