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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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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/NMTIndoBaliBART |
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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/NMTIndoBaliBART |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 5.5355 |
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- Validation Loss: 5.5388 |
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- Epoch: 26 |
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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': 0.02, '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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| 9.7885 | 5.6003 | 0 | |
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| 5.5737 | 5.5523 | 1 | |
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| 5.5346 | 5.5361 | 2 | |
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| 5.5189 | 5.5283 | 3 | |
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| 5.5149 | 5.5252 | 4 | |
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| 5.5123 | 5.5233 | 5 | |
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| 5.5116 | 5.5485 | 6 | |
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| 5.5095 | 5.5314 | 7 | |
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| 5.5120 | 5.5569 | 8 | |
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| 5.5137 | 5.5239 | 9 | |
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| 5.5170 | 5.5289 | 10 | |
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| 5.5180 | 5.5298 | 11 | |
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| 5.5217 | 5.5513 | 12 | |
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| 5.5219 | 5.5344 | 13 | |
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| 5.5248 | 5.5366 | 14 | |
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| 5.5268 | 5.5493 | 15 | |
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| 5.5260 | 5.5313 | 16 | |
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| 5.5290 | 5.5462 | 17 | |
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| 5.5299 | 5.5570 | 18 | |
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| 5.5293 | 5.5480 | 19 | |
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| 5.5378 | 5.5524 | 20 | |
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| 5.5317 | 5.5740 | 21 | |
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| 5.5328 | 5.5543 | 22 | |
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| 5.5327 | 5.5537 | 23 | |
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| 5.5330 | 5.5356 | 24 | |
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| 5.5304 | 5.5492 | 25 | |
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| 5.5355 | 5.5388 | 26 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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