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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/BartIndo2Bali |
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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/BartIndo2Bali |
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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: 0.7819 |
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- Validation Loss: 2.1042 |
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- Epoch: 43 |
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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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| 4.3767 | 3.6194 | 0 | |
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| 3.5364 | 3.1996 | 1 | |
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| 3.1525 | 2.9458 | 2 | |
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| 2.8777 | 2.8118 | 3 | |
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| 2.6993 | 2.6979 | 4 | |
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| 2.5550 | 2.6071 | 5 | |
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| 2.4536 | 2.5362 | 6 | |
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| 2.3338 | 2.4572 | 7 | |
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| 2.2394 | 2.3878 | 8 | |
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| 2.1466 | 2.3692 | 9 | |
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| 2.0795 | 2.3189 | 10 | |
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| 2.0061 | 2.2674 | 11 | |
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| 1.9321 | 2.2393 | 12 | |
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| 1.8837 | 2.2181 | 13 | |
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| 1.8224 | 2.2002 | 14 | |
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| 1.7626 | 2.1671 | 15 | |
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| 1.7251 | 2.1386 | 16 | |
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| 1.6624 | 2.1245 | 17 | |
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| 1.6191 | 2.1134 | 18 | |
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| 1.6177 | 2.1061 | 19 | |
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| 1.5524 | 2.0845 | 20 | |
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| 1.4965 | 2.0750 | 21 | |
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| 1.4618 | 2.0527 | 22 | |
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| 1.4188 | 2.0584 | 23 | |
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| 1.3774 | 2.0359 | 24 | |
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| 1.3469 | 2.0567 | 25 | |
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| 1.3113 | 2.0295 | 26 | |
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| 1.2791 | 2.0134 | 27 | |
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| 1.2436 | 2.0431 | 28 | |
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| 1.1915 | 2.0201 | 29 | |
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| 1.1815 | 2.0283 | 30 | |
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| 1.1314 | 2.0230 | 31 | |
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| 1.1071 | 2.0424 | 32 | |
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| 1.0781 | 2.0357 | 33 | |
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| 1.0429 | 2.0208 | 34 | |
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| 1.0134 | 2.0458 | 35 | |
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| 0.9799 | 2.0466 | 36 | |
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| 0.9567 | 2.0592 | 37 | |
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| 0.9261 | 2.0278 | 38 | |
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| 0.8931 | 2.0641 | 39 | |
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| 0.8742 | 2.0783 | 40 | |
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| 0.8397 | 2.0781 | 41 | |
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| 0.8228 | 2.1010 | 42 | |
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| 0.7819 | 2.1042 | 43 | |
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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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