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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/BartBali2Indo |
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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/BartBali2Indo |
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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: 0.0023 |
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- Validation Loss: 2.8624 |
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- Epoch: 56 |
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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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| 0.0020 | 2.8075 | 0 | |
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| 0.0024 | 2.8006 | 1 | |
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| 0.0027 | 2.8418 | 2 | |
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| 0.0021 | 2.8171 | 3 | |
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| 0.0023 | 2.7964 | 4 | |
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| 0.0027 | 2.8319 | 5 | |
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| 0.0018 | 2.8167 | 6 | |
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| 0.0022 | 2.8269 | 7 | |
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| 0.0021 | 2.8194 | 8 | |
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| 0.0020 | 2.8213 | 9 | |
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| 0.0018 | 2.8459 | 10 | |
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| 0.0022 | 2.8367 | 11 | |
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| 0.0018 | 2.7985 | 12 | |
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| 0.0019 | 2.8249 | 13 | |
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| 0.0026 | 2.8372 | 14 | |
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| 0.0024 | 2.8388 | 15 | |
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| 0.0023 | 2.8350 | 16 | |
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| 0.0023 | 2.8429 | 17 | |
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| 0.0024 | 2.7952 | 18 | |
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| 0.0028 | 2.7758 | 19 | |
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| 0.0025 | 2.8287 | 20 | |
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| 0.0025 | 2.8150 | 21 | |
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| 0.0030 | 2.8394 | 22 | |
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| 0.0019 | 2.7969 | 23 | |
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| 0.0018 | 2.8244 | 24 | |
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| 0.0026 | 2.8472 | 25 | |
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| 0.0017 | 2.8750 | 26 | |
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| 0.0021 | 2.8316 | 27 | |
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| 0.0018 | 2.8080 | 28 | |
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| 0.0018 | 2.8333 | 29 | |
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| 0.0031 | 2.8716 | 30 | |
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| 0.0024 | 2.8551 | 31 | |
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| 0.0027 | 2.8611 | 32 | |
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| 0.0031 | 2.8276 | 33 | |
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| 0.0030 | 2.8264 | 34 | |
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| 0.0025 | 2.8764 | 35 | |
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| 0.0023 | 2.8492 | 36 | |
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| 0.0037 | 2.8445 | 37 | |
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| 0.0024 | 2.8607 | 38 | |
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| 0.0024 | 2.8460 | 39 | |
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| 0.0021 | 2.8844 | 40 | |
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| 0.0031 | 2.8310 | 41 | |
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| 0.0031 | 2.8714 | 42 | |
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| 0.0034 | 2.8768 | 43 | |
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| 0.0028 | 2.8641 | 44 | |
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| 0.0023 | 2.8253 | 45 | |
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| 0.0025 | 2.8205 | 46 | |
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| 0.0024 | 2.8318 | 47 | |
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| 0.0019 | 2.8558 | 48 | |
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| 0.0017 | 2.8302 | 49 | |
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| 0.0017 | 2.8587 | 50 | |
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| 0.0021 | 2.8501 | 51 | |
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| 0.0019 | 2.8433 | 52 | |
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| 0.0017 | 2.8747 | 53 | |
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| 0.0021 | 2.8454 | 54 | |
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| 0.0018 | 2.8685 | 55 | |
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| 0.0023 | 2.8624 | 56 | |
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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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