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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/NMTBaliIndoBART |
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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/NMTBaliIndoBART |
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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: 5.4574 |
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- Validation Loss: 5.9696 |
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- Epoch: 35 |
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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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| 9.3368 | 5.6757 | 0 | |
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| 5.5627 | 5.5987 | 1 | |
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| 5.5311 | 5.5419 | 2 | |
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| 5.5152 | 5.5201 | 3 | |
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| 5.5005 | 5.6477 | 4 | |
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| 5.4704 | 5.5914 | 5 | |
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| 5.4610 | 6.0922 | 6 | |
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| 5.4584 | 5.7137 | 7 | |
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| 5.4528 | 5.8658 | 8 | |
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| 5.4820 | 5.5628 | 9 | |
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| 5.4874 | 5.5309 | 10 | |
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| 5.4917 | 5.7595 | 11 | |
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| 5.4898 | 5.7333 | 12 | |
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| 5.4833 | 5.6789 | 13 | |
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| 5.4767 | 5.9588 | 14 | |
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| 5.4883 | 5.9895 | 15 | |
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| 5.4694 | 6.0100 | 16 | |
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| 5.4663 | 6.0316 | 17 | |
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| 5.4602 | 5.9233 | 18 | |
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| 5.4576 | 6.0051 | 19 | |
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| 5.4559 | 5.9966 | 20 | |
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| 5.4651 | 6.0025 | 21 | |
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| 5.4660 | 6.0160 | 22 | |
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| 5.4626 | 5.8324 | 23 | |
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| 5.4647 | 5.8383 | 24 | |
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| 5.4695 | 6.0272 | 25 | |
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| 5.4614 | 6.0724 | 26 | |
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| 5.4623 | 5.9454 | 27 | |
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| 5.4678 | 6.0196 | 28 | |
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| 5.4860 | 5.5949 | 29 | |
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| 5.4851 | 5.8838 | 30 | |
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| 5.4666 | 5.8506 | 31 | |
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| 5.4715 | 6.0391 | 32 | |
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| 5.4630 | 6.0870 | 33 | |
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| 5.4646 | 6.2195 | 34 | |
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| 5.4574 | 5.9696 | 35 | |
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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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