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model-index: |
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- name: qa-indo-math-k |
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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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# qa-indo-math-k |
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This model was trained from scratch on an unkown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8801 |
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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: 10 |
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- eval_batch_size: 10 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 127 | 0.7652 | |
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| No log | 2.0 | 254 | 0.7520 | |
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| No log | 3.0 | 381 | 0.7681 | |
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| 0.9618 | 4.0 | 508 | 0.7337 | |
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| 0.9618 | 5.0 | 635 | 0.7560 | |
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| 0.9618 | 6.0 | 762 | 0.7397 | |
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| 0.9618 | 7.0 | 889 | 0.7298 | |
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| 0.6652 | 8.0 | 1016 | 0.7891 | |
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| 0.6652 | 9.0 | 1143 | 0.7874 | |
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| 0.6652 | 10.0 | 1270 | 0.7759 | |
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| 0.6652 | 11.0 | 1397 | 0.7505 | |
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| 0.6174 | 12.0 | 1524 | 0.7838 | |
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| 0.6174 | 13.0 | 1651 | 0.7878 | |
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| 0.6174 | 14.0 | 1778 | 0.8028 | |
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| 0.6174 | 15.0 | 1905 | 0.8154 | |
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| 0.5733 | 16.0 | 2032 | 0.8131 | |
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| 0.5733 | 17.0 | 2159 | 0.8278 | |
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| 0.5733 | 18.0 | 2286 | 0.8308 | |
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| 0.5733 | 19.0 | 2413 | 0.8433 | |
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| 0.5378 | 20.0 | 2540 | 0.8303 | |
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| 0.5378 | 21.0 | 2667 | 0.8352 | |
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| 0.5378 | 22.0 | 2794 | 0.8369 | |
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| 0.5378 | 23.0 | 2921 | 0.8518 | |
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| 0.5095 | 24.0 | 3048 | 0.8749 | |
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| 0.5095 | 25.0 | 3175 | 0.8533 | |
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| 0.5095 | 26.0 | 3302 | 0.8547 | |
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| 0.5095 | 27.0 | 3429 | 0.8844 | |
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| 0.4856 | 28.0 | 3556 | 0.8752 | |
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| 0.4856 | 29.0 | 3683 | 0.8804 | |
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| 0.4856 | 30.0 | 3810 | 0.8801 | |
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### Framework versions |
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- Transformers 4.6.1 |
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- Pytorch 1.7.0 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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