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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: madatnlp/kor-math-roberta-finetune |
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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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# madatnlp/kor-math-roberta-finetune |
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.3205 |
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- Validation Loss: 1.1407 |
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- Epoch: 26 |
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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': 1e-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: mixed_bfloat16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 3.4242 | 2.0873 | 0 | |
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| 1.9159 | 1.6264 | 1 | |
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| 1.5933 | 1.4521 | 2 | |
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| 1.3806 | 1.3584 | 3 | |
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| 1.2487 | 1.2904 | 4 | |
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| 1.1464 | 1.2388 | 5 | |
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| 1.0552 | 1.2076 | 6 | |
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| 0.9889 | 1.1818 | 7 | |
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| 0.9118 | 1.1607 | 8 | |
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| 0.8459 | 1.1349 | 9 | |
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| 0.7838 | 1.1193 | 10 | |
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| 0.7389 | 1.1193 | 11 | |
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| 0.6864 | 1.1080 | 12 | |
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| 0.6495 | 1.1001 | 13 | |
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| 0.6103 | 1.1001 | 14 | |
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| 0.5795 | 1.0990 | 15 | |
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| 0.5436 | 1.0954 | 16 | |
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| 0.5136 | 1.0997 | 17 | |
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| 0.4906 | 1.0954 | 18 | |
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| 0.4565 | 1.1021 | 19 | |
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| 0.4347 | 1.1075 | 20 | |
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| 0.4131 | 1.1075 | 21 | |
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| 0.3924 | 1.1220 | 22 | |
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| 0.3741 | 1.1298 | 23 | |
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| 0.3549 | 1.1352 | 24 | |
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| 0.3395 | 1.1286 | 25 | |
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| 0.3205 | 1.1407 | 26 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- TensorFlow 2.8.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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