add model
Browse files- README.md +201 -201
- tf_model.h5 +2 -2
README.md
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@@ -13,7 +13,7 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [MJ199999/gpt3_model](https://huggingface.co/MJ199999/gpt3_model) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Train Lr: 0.0009999999
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- Epoch: 199
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| Train Loss | Train Lr | Epoch |
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|:----------:|:------------:|:-----:|
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### Framework versions
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This model is a fine-tuned version of [MJ199999/gpt3_model](https://huggingface.co/MJ199999/gpt3_model) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Train Loss: 0.5780
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- Train Lr: 0.0009999999
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- Epoch: 199
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| Train Loss | Train Lr | Epoch |
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|:----------:|:------------:|:-----:|
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| 5.2991 | 0.01 | 0 |
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| 4.1308 | 0.01 | 1 |
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| 3.0900 | 0.01 | 2 |
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| 2.3497 | 0.01 | 3 |
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| 1.8752 | 0.01 | 4 |
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| 1.5953 | 0.01 | 5 |
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| 1.4038 | 0.01 | 6 |
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| 1.2873 | 0.01 | 7 |
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| 1.1845 | 0.01 | 8 |
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| 1.1239 | 0.01 | 9 |
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| 1.0671 | 0.01 | 10 |
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| 1.0193 | 0.01 | 11 |
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| 0.9945 | 0.01 | 12 |
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| 0.9541 | 0.01 | 13 |
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| 0.9500 | 0.01 | 14 |
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| 0.9214 | 0.01 | 15 |
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| 0.9090 | 0.01 | 16 |
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| 0.8811 | 0.01 | 17 |
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| 0.8735 | 0.01 | 18 |
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| 0.8612 | 0.01 | 19 |
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| 0.8526 | 0.01 | 20 |
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| 0.8403 | 0.01 | 21 |
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| 0.8295 | 0.01 | 22 |
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| 0.8239 | 0.01 | 23 |
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| 0.8150 | 0.01 | 24 |
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| 0.8063 | 0.01 | 25 |
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| 0.8004 | 0.01 | 26 |
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| 0.7914 | 0.01 | 27 |
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| 0.7877 | 0.01 | 28 |
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| 0.7796 | 0.01 | 29 |
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| 0.7761 | 0.01 | 30 |
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| 0.7716 | 0.01 | 31 |
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| 0.7701 | 0.01 | 32 |
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| 0.7686 | 0.01 | 33 |
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| 0.7602 | 0.01 | 34 |
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| 0.7495 | 0.01 | 35 |
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| 0.7515 | 0.01 | 36 |
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| 0.7439 | 0.01 | 37 |
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| 0.7436 | 0.01 | 38 |
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| 0.7365 | 0.01 | 39 |
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| 0.7376 | 0.01 | 40 |
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| 0.7318 | 0.01 | 41 |
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| 0.7283 | 0.01 | 42 |
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| 0.7293 | 0.01 | 43 |
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| 0.7282 | 0.01 | 44 |
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| 0.7197 | 0.01 | 45 |
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| 0.7242 | 0.01 | 46 |
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| 0.7196 | 0.01 | 47 |
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| 0.7148 | 0.01 | 48 |
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| 0.7152 | 0.01 | 49 |
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| 0.7135 | 0.01 | 50 |
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| 0.7088 | 0.01 | 51 |
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| 0.7094 | 0.01 | 52 |
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| 0.7068 | 0.01 | 53 |
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| 0.7042 | 0.01 | 54 |
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| 0.6987 | 0.01 | 55 |
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| 0.7019 | 0.01 | 56 |
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| 0.6979 | 0.01 | 57 |
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| 0.6988 | 0.01 | 58 |
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| 0.6932 | 0.01 | 59 |
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| 0.6934 | 0.01 | 60 |
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| 0.6908 | 0.01 | 61 |
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| 0.6890 | 0.01 | 62 |
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| 0.6913 | 0.01 | 63 |
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| 0.6896 | 0.01 | 64 |
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| 0.6846 | 0.01 | 65 |
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| 0.6854 | 0.01 | 66 |
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| 0.6785 | 0.01 | 67 |
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| 0.6828 | 0.01 | 68 |
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| 0.6809 | 0.01 | 69 |
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| 0.6825 | 0.01 | 70 |
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| 0.6798 | 0.01 | 71 |
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| 0.6776 | 0.01 | 72 |
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| 0.6758 | 0.01 | 73 |
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| 0.6735 | 0.01 | 74 |
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| 0.6777 | 0.01 | 75 |
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| 0.6733 | 0.01 | 76 |
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| 0.6717 | 0.01 | 77 |
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| 0.6720 | 0.01 | 78 |
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| 0.6722 | 0.01 | 79 |
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| 0.6752 | 0.01 | 80 |
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| 0.6671 | 0.01 | 81 |
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| 0.6658 | 0.01 | 82 |
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| 0.6645 | 0.01 | 83 |
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| 0.6687 | 0.01 | 84 |
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| 0.6620 | 0.01 | 85 |
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| 0.6630 | 0.01 | 86 |
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| 0.6667 | 0.01 | 87 |
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| 0.6619 | 0.01 | 88 |
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| 0.6654 | 0.01 | 89 |
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| 0.6624 | 0.01 | 90 |
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| 0.6632 | 0.01 | 91 |
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| 0.6612 | 0.01 | 92 |
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| 0.6599 | 0.01 | 93 |
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| 0.6538 | 0.01 | 94 |
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| 0.6593 | 0.01 | 95 |
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| 0.6571 | 0.01 | 96 |
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| 0.6534 | 0.01 | 97 |
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| 0.6556 | 0.01 | 98 |
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| 0.6555 | 0.01 | 99 |
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| 0.5938 | 0.0009999999 | 100 |
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| 0.5950 | 0.0009999999 | 101 |
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| 0.5923 | 0.0009999999 | 102 |
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| 0.5906 | 0.0009999999 | 103 |
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| 0.5917 | 0.0009999999 | 104 |
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| 0.5873 | 0.0009999999 | 105 |
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| 0.5926 | 0.0009999999 | 106 |
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| 0.5881 | 0.0009999999 | 107 |
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| 0.5874 | 0.0009999999 | 108 |
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| 0.5901 | 0.0009999999 | 109 |
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| 0.5879 | 0.0009999999 | 110 |
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| 0.5870 | 0.0009999999 | 111 |
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| 0.5870 | 0.0009999999 | 112 |
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| 0.5888 | 0.0009999999 | 113 |
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| 0.5868 | 0.0009999999 | 114 |
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| 0.5867 | 0.0009999999 | 115 |
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| 0.5868 | 0.0009999999 | 116 |
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| 0.5848 | 0.0009999999 | 117 |
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| 0.5849 | 0.0009999999 | 118 |
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| 0.5871 | 0.0009999999 | 119 |
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| 0.5836 | 0.0009999999 | 120 |
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| 0.5850 | 0.0009999999 | 121 |
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| 0.5837 | 0.0009999999 | 122 |
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| 0.5867 | 0.0009999999 | 123 |
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| 0.5867 | 0.0009999999 | 124 |
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| 0.5846 | 0.0009999999 | 125 |
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| 0.5852 | 0.0009999999 | 126 |
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| 0.5839 | 0.0009999999 | 127 |
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| 0.5861 | 0.0009999999 | 128 |
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| 0.5878 | 0.0009999999 | 129 |
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| 0.5837 | 0.0009999999 | 130 |
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| 0.5840 | 0.0009999999 | 131 |
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| 0.5841 | 0.0009999999 | 132 |
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| 0.5840 | 0.0009999999 | 133 |
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| 0.5827 | 0.0009999999 | 134 |
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| 0.5858 | 0.0009999999 | 135 |
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| 0.5861 | 0.0009999999 | 136 |
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| 0.5852 | 0.0009999999 | 137 |
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| 0.5828 | 0.0009999999 | 138 |
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| 0.5836 | 0.0009999999 | 139 |
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| 0.5825 | 0.0009999999 | 140 |
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| 0.5835 | 0.0009999999 | 141 |
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| 0.5849 | 0.0009999999 | 142 |
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| 0.5832 | 0.0009999999 | 143 |
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| 0.5831 | 0.0009999999 | 144 |
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| 0.5827 | 0.0009999999 | 145 |
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| 0.5818 | 0.0009999999 | 146 |
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| 0.5848 | 0.0009999999 | 147 |
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| 0.5879 | 0.0009999999 | 148 |
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| 0.5827 | 0.0009999999 | 149 |
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| 0.5855 | 0.0009999999 | 150 |
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| 0.5812 | 0.0009999999 | 151 |
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| 0.5822 | 0.0009999999 | 152 |
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| 0.5833 | 0.0009999999 | 153 |
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| 0.5845 | 0.0009999999 | 154 |
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| 0.5865 | 0.0009999999 | 155 |
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| 0.5852 | 0.0009999999 | 156 |
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| 0.5850 | 0.0009999999 | 157 |
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| 0.5834 | 0.0009999999 | 158 |
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| 0.5802 | 0.0009999999 | 159 |
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| 0.5829 | 0.0009999999 | 160 |
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| 0.5827 | 0.0009999999 | 161 |
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| 0.5796 | 0.0009999999 | 162 |
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| 0.5817 | 0.0009999999 | 163 |
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| 0.5850 | 0.0009999999 | 164 |
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| 0.5810 | 0.0009999999 | 165 |
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| 0.5828 | 0.0009999999 | 166 |
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| 0.5813 | 0.0009999999 | 167 |
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| 0.5822 | 0.0009999999 | 168 |
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| 0.5817 | 0.0009999999 | 169 |
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| 0.5813 | 0.0009999999 | 170 |
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| 0.5813 | 0.0009999999 | 171 |
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| 216 |
+
| 0.5834 | 0.0009999999 | 172 |
|
| 217 |
+
| 0.5803 | 0.0009999999 | 173 |
|
| 218 |
+
| 0.5821 | 0.0009999999 | 174 |
|
| 219 |
+
| 0.5852 | 0.0009999999 | 175 |
|
| 220 |
+
| 0.5828 | 0.0009999999 | 176 |
|
| 221 |
+
| 0.5820 | 0.0009999999 | 177 |
|
| 222 |
+
| 0.5822 | 0.0009999999 | 178 |
|
| 223 |
+
| 0.5815 | 0.0009999999 | 179 |
|
| 224 |
+
| 0.5838 | 0.0009999999 | 180 |
|
| 225 |
+
| 0.5791 | 0.0009999999 | 181 |
|
| 226 |
+
| 0.5804 | 0.0009999999 | 182 |
|
| 227 |
+
| 0.5841 | 0.0009999999 | 183 |
|
| 228 |
+
| 0.5776 | 0.0009999999 | 184 |
|
| 229 |
+
| 0.5812 | 0.0009999999 | 185 |
|
| 230 |
+
| 0.5824 | 0.0009999999 | 186 |
|
| 231 |
+
| 0.5832 | 0.0009999999 | 187 |
|
| 232 |
+
| 0.5799 | 0.0009999999 | 188 |
|
| 233 |
+
| 0.5799 | 0.0009999999 | 189 |
|
| 234 |
+
| 0.5828 | 0.0009999999 | 190 |
|
| 235 |
+
| 0.5792 | 0.0009999999 | 191 |
|
| 236 |
+
| 0.5821 | 0.0009999999 | 192 |
|
| 237 |
+
| 0.5802 | 0.0009999999 | 193 |
|
| 238 |
+
| 0.5813 | 0.0009999999 | 194 |
|
| 239 |
+
| 0.5826 | 0.0009999999 | 195 |
|
| 240 |
+
| 0.5815 | 0.0009999999 | 196 |
|
| 241 |
+
| 0.5802 | 0.0009999999 | 197 |
|
| 242 |
+
| 0.5797 | 0.0009999999 | 198 |
|
| 243 |
+
| 0.5780 | 0.0009999999 | 199 |
|
| 244 |
|
| 245 |
|
| 246 |
### Framework versions
|
tf_model.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b7308778e0baaa19301f2d2d312df8d73f3390c43ac790b2b33d4996dbd8fea
|
| 3 |
+
size 4650595440
|