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madatnlp
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ke-t5-scratch

Text2Text Generation
Transformers
TensorFlow
t5
generated_from_keras_callback
Inference Endpoints
text-generation-inference
Model card Files Community
madatnlp commited on
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End of training

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  1. README.md +81 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
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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: 8.1521
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- - Validation Loss: 4.7300
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- - Epoch: 0
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  ## Model description
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@@ -42,6 +42,84 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 8.1521 | 4.7300 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 0.7822
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+ - Validation Loss: 0.7830
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+ - Epoch: 78
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 8.1521 | 4.7300 | 0 |
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+ | 4.5192 | 3.2568 | 1 |
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+ | 3.4913 | 2.7407 | 2 |
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+ | 2.9793 | 2.3012 | 3 |
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+ | 2.6884 | 2.2078 | 4 |
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+ | 2.4174 | 1.9750 | 5 |
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+ | 2.2986 | 1.8614 | 6 |
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+ | 2.1074 | 1.5899 | 7 |
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+ | 2.0098 | 1.6175 | 8 |
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+ | 1.9521 | 1.6886 | 9 |
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+ | 1.8728 | 1.4932 | 10 |
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+ | 1.7885 | 1.4924 | 11 |
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+ | 1.6926 | 1.5297 | 12 |
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+ | 1.6965 | 1.3357 | 13 |
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+ | 1.6310 | 1.4610 | 14 |
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+ | 1.6144 | 1.3840 | 15 |
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+ | 1.5745 | 1.3763 | 16 |
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+ | 1.5375 | 1.2571 | 17 |
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+ | 1.5061 | 1.2785 | 18 |
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+ | 1.4627 | 1.2533 | 19 |
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+ | 1.4811 | 1.2842 | 20 |
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+ | 1.4139 | 1.1947 | 21 |
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+ | 1.3810 | 1.1776 | 22 |
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+ | 1.3875 | 1.1778 | 23 |
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+ | 1.3648 | 1.1158 | 24 |
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+ | 1.3542 | 1.0514 | 25 |
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+ | 1.3055 | 1.1236 | 26 |
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+ | 1.3064 | 1.0815 | 27 |
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+ | 1.2706 | 1.0877 | 28 |
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+ | 1.2624 | 1.0519 | 29 |
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+ | 1.2626 | 1.0742 | 30 |
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+ | 1.2480 | 1.0478 | 31 |
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+ | 1.2137 | 1.0730 | 32 |
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+ | 1.2224 | 1.0391 | 33 |
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+ | 1.1865 | 0.9326 | 34 |
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+ | 1.1898 | 0.9682 | 35 |
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+ | 1.1624 | 1.0019 | 36 |
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+ | 1.1561 | 1.0398 | 37 |
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+ | 1.1376 | 0.9905 | 38 |
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+ | 1.1346 | 0.9957 | 39 |
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+ | 1.1269 | 1.0249 | 40 |
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+ | 1.1009 | 0.9031 | 41 |
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+ | 1.0933 | 0.9404 | 42 |
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+ | 1.0637 | 0.9948 | 43 |
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+ | 1.0598 | 0.9522 | 44 |
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+ | 1.0699 | 0.8862 | 45 |
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+ | 1.0712 | 0.8994 | 46 |
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+ | 1.0542 | 0.9584 | 47 |
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+ | 1.0199 | 0.9133 | 48 |
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+ | 1.0248 | 0.9043 | 49 |
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+ | 1.0052 | 0.8633 | 50 |
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+ | 0.9896 | 0.9102 | 51 |
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+ | 1.0057 | 0.8636 | 52 |
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+ | 0.9817 | 0.8472 | 53 |
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+ | 0.9668 | 0.8686 | 54 |
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+ | 0.9541 | 0.8884 | 55 |
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+ | 0.9731 | 0.8862 | 56 |
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+ | 0.9364 | 0.8166 | 57 |
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+ | 0.9429 | 0.8448 | 58 |
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+ | 0.9285 | 0.8711 | 59 |
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+ | 0.9222 | 0.8232 | 60 |
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+ | 0.9163 | 0.8039 | 61 |
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+ | 0.8940 | 0.8100 | 62 |
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+ | 0.8967 | 0.8318 | 63 |
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+ | 0.8892 | 0.7802 | 64 |
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+ | 0.8869 | 0.7814 | 65 |
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+ | 0.8683 | 0.7917 | 66 |
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+ | 0.8623 | 0.8259 | 67 |
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+ | 0.8480 | 0.7539 | 68 |
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+ | 0.8441 | 0.8287 | 69 |
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+ | 0.8312 | 0.7945 | 70 |
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+ | 0.8215 | 0.8013 | 71 |
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+ | 0.8289 | 0.7837 | 72 |
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+ | 0.8181 | 0.7744 | 73 |
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+ | 0.8062 | 0.7707 | 74 |
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+ | 0.8025 | 0.7796 | 75 |
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+ | 0.7848 | 0.7748 | 76 |
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+ | 0.7860 | 0.7861 | 77 |
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+ | 0.7822 | 0.7830 | 78 |
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  ### Framework versions
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