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--- |
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license: mit |
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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-combined-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-combined-jv-id |
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This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6285 |
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- Bleu: 16.9732 |
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- Gen Len: 19.4429 |
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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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- 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: 10 |
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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 | 94 | 0.8084 | 11.1865 | 19.5232 | |
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| No log | 2.0 | 188 | 0.7259 | 13.1223 | 19.478 | |
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| No log | 3.0 | 282 | 0.6905 | 14.6859 | 19.4366 | |
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| No log | 4.0 | 376 | 0.6682 | 15.2578 | 19.4216 | |
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| No log | 5.0 | 470 | 0.6536 | 15.9459 | 19.4366 | |
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| 0.8734 | 6.0 | 564 | 0.6439 | 16.3189 | 19.4115 | |
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| 0.8734 | 7.0 | 658 | 0.6367 | 16.7353 | 19.4228 | |
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| 0.8734 | 8.0 | 752 | 0.6327 | 16.9575 | 19.4529 | |
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| 0.8734 | 9.0 | 846 | 0.6300 | 17.093 | 19.4442 | |
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| 0.8734 | 10.0 | 940 | 0.6285 | 16.9732 | 19.4429 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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