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--- |
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base_model: indobenchmark/indobart-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: indobart-indonlg-nusax-500-jv-id |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# indobart-indonlg-nusax-500-jv-id |
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This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on IndoNLG, NusaX, and manual translation dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6148 |
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- Bleu: 20.3132 |
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- Gen Len: 19.3294 |
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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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Javanese Most Common Words |
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Indonesian Most Common Words |
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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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- learning_rate: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 114 | 0.8182 | 12.2063 | 19.4575 | |
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| No log | 2.0 | 228 | 0.7390 | 14.2482 | 19.3932 | |
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| No log | 3.0 | 342 | 0.6975 | 15.9974 | 19.4014 | |
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| No log | 4.0 | 456 | 0.6706 | 16.578 | 19.3601 | |
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| 0.849 | 5.0 | 570 | 0.6527 | 17.2313 | 19.3713 | |
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| 0.849 | 6.0 | 684 | 0.6392 | 17.9 | 19.3477 | |
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| 0.849 | 7.0 | 798 | 0.6285 | 18.0166 | 19.3495 | |
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| 0.849 | 8.0 | 912 | 0.6242 | 18.2424 | 19.3347 | |
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| 0.4461 | 9.0 | 1026 | 0.6170 | 18.6378 | 19.3648 | |
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| 0.4461 | 10.0 | 1140 | 0.6148 | 19.0513 | 19.3365 | |
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| 0.4461 | 11.0 | 1254 | 0.6106 | 19.5335 | 19.3383 | |
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| 0.4461 | 12.0 | 1368 | 0.6097 | 19.2886 | 19.3353 | |
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| 0.4461 | 13.0 | 1482 | 0.6079 | 19.5712 | 19.3347 | |
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| 0.3344 | 14.0 | 1596 | 0.6067 | 19.4256 | 19.3684 | |
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| 0.3344 | 15.0 | 1710 | 0.6078 | 19.7062 | 19.3483 | |
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| 0.3344 | 16.0 | 1824 | 0.6052 | 19.6353 | 19.3506 | |
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| 0.3344 | 17.0 | 1938 | 0.6072 | 19.8745 | 19.3318 | |
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| 0.2674 | 18.0 | 2052 | 0.6076 | 20.0834 | 19.3318 | |
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| 0.2674 | 19.0 | 2166 | 0.6078 | 20.082 | 19.3506 | |
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| 0.2674 | 20.0 | 2280 | 0.6098 | 20.1934 | 19.3117 | |
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| 0.2674 | 21.0 | 2394 | 0.6094 | 20.1326 | 19.3453 | |
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| 0.225 | 22.0 | 2508 | 0.6109 | 20.2045 | 19.3329 | |
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| 0.225 | 23.0 | 2622 | 0.6133 | 20.0595 | 19.3495 | |
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| 0.225 | 24.0 | 2736 | 0.6117 | 20.2089 | 19.3442 | |
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| 0.225 | 25.0 | 2850 | 0.6141 | 20.2566 | 19.3264 | |
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| 0.225 | 26.0 | 2964 | 0.6143 | 20.3092 | 19.3329 | |
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| 0.199 | 27.0 | 3078 | 0.6134 | 20.3808 | 19.33 | |
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| 0.199 | 28.0 | 3192 | 0.6141 | 20.412 | 19.34 | |
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| 0.199 | 29.0 | 3306 | 0.6148 | 20.2613 | 19.3359 | |
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| 0.199 | 30.0 | 3420 | 0.6148 | 20.3132 | 19.3294 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.13.3 |
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