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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/prefix-ket5-scratch |
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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/prefix-ket5-scratch |
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This model is a fine-tuned version of [madatnlp/ke-t5-math-py](https://huggingface.co/madatnlp/ke-t5-math-py) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.7214 |
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- Validation Loss: 0.8747 |
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- Epoch: 98 |
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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': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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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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| 8.0101 | 5.1280 | 0 | |
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| 4.8040 | 3.6005 | 1 | |
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| 3.7550 | 2.8108 | 2 | |
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| 3.2740 | 2.6402 | 3 | |
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| 2.9682 | 2.3173 | 4 | |
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| 2.6871 | 2.1585 | 5 | |
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| 2.4782 | 2.0828 | 6 | |
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| 2.3507 | 1.9557 | 7 | |
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| 2.2131 | 1.8513 | 8 | |
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| 2.1235 | 1.6324 | 9 | |
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| 2.0157 | 1.6270 | 10 | |
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| 1.9722 | 1.6217 | 11 | |
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| 1.8733 | 1.5436 | 12 | |
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| 1.8680 | 1.5872 | 13 | |
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| 1.8365 | 1.6040 | 14 | |
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| 1.7528 | 1.5049 | 15 | |
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| 1.7411 | 1.4754 | 16 | |
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| 1.6733 | 1.4409 | 17 | |
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| 1.6544 | 1.4230 | 18 | |
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| 1.6271 | 1.4556 | 19 | |
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| 1.5658 | 1.3797 | 20 | |
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| 1.5774 | 1.3269 | 21 | |
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| 1.5150 | 1.3108 | 22 | |
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| 1.5057 | 1.3785 | 23 | |
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| 1.4605 | 1.3114 | 24 | |
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| 1.4702 | 1.2618 | 25 | |
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| 1.4220 | 1.2164 | 26 | |
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| 1.4194 | 1.2409 | 27 | |
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| 1.3942 | 1.2603 | 28 | |
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| 1.3921 | 1.3010 | 29 | |
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| 1.3645 | 1.1850 | 30 | |
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| 1.3336 | 1.1273 | 31 | |
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| 1.3499 | 1.1533 | 32 | |
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| 1.3022 | 1.1683 | 33 | |
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| 1.2990 | 1.1403 | 34 | |
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| 1.2876 | 1.1241 | 35 | |
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| 1.2479 | 1.0957 | 36 | |
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| 1.2441 | 1.1989 | 37 | |
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| 1.2464 | 1.1416 | 38 | |
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| 1.2353 | 1.0636 | 39 | |
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| 1.2152 | 1.1136 | 40 | |
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| 1.2212 | 1.0635 | 41 | |
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| 1.1892 | 1.0818 | 42 | |
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| 1.1959 | 1.1041 | 43 | |
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| 1.1957 | 1.0912 | 44 | |
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| 1.1542 | 1.0949 | 45 | |
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| 1.1403 | 1.1272 | 46 | |
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| 1.1396 | 1.1169 | 47 | |
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| 1.1149 | 1.0606 | 48 | |
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| 1.1238 | 1.0610 | 49 | |
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| 1.1246 | 1.0234 | 50 | |
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| 1.0971 | 0.9865 | 51 | |
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| 1.0883 | 1.0568 | 52 | |
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| 1.0774 | 1.0099 | 53 | |
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| 1.0581 | 1.0023 | 54 | |
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| 1.0680 | 1.0197 | 55 | |
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| 1.0682 | 0.9835 | 56 | |
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| 1.0390 | 0.9789 | 57 | |
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| 1.0480 | 1.0217 | 58 | |
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| 1.0273 | 0.9622 | 59 | |
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| 1.0062 | 1.0174 | 60 | |
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| 1.0088 | 0.9612 | 61 | |
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| 0.9909 | 0.9998 | 62 | |
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| 0.9821 | 1.0115 | 63 | |
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| 0.9752 | 0.9712 | 64 | |
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| 0.9816 | 0.9677 | 65 | |
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| 0.9569 | 0.9503 | 66 | |
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| 0.9521 | 1.0052 | 67 | |
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| 0.9384 | 0.9752 | 68 | |
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| 0.9468 | 0.9767 | 69 | |
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| 0.9241 | 1.0076 | 70 | |
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| 0.9211 | 0.9414 | 71 | |
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| 0.9166 | 1.0294 | 72 | |
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| 0.9044 | 0.9772 | 73 | |
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| 0.9025 | 0.9273 | 74 | |
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| 0.8909 | 1.0077 | 75 | |
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| 0.8831 | 0.9292 | 76 | |
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| 0.8702 | 0.9320 | 77 | |
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| 0.8644 | 0.9879 | 78 | |
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| 0.8599 | 0.9027 | 79 | |
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| 0.8434 | 0.9197 | 80 | |
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| 0.8561 | 0.9447 | 81 | |
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| 0.8330 | 0.9730 | 82 | |
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| 0.8328 | 0.9137 | 83 | |
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| 0.8221 | 0.9232 | 84 | |
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| 0.8166 | 0.9115 | 85 | |
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| 0.8025 | 0.9530 | 86 | |
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| 0.8070 | 0.9270 | 87 | |
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| 0.7968 | 0.8474 | 88 | |
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| 0.7880 | 0.9171 | 89 | |
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| 0.7834 | 0.8668 | 90 | |
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| 0.7786 | 0.9049 | 91 | |
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| 0.7595 | 0.9348 | 92 | |
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| 0.7573 | 0.8826 | 93 | |
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| 0.7505 | 0.8765 | 94 | |
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| 0.7474 | 0.9312 | 95 | |
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| 0.7386 | 0.9211 | 96 | |
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| 0.7490 | 0.9223 | 97 | |
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| 0.7214 | 0.8747 | 98 | |
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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 2.2.1 |
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- Tokenizers 0.12.1 |
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