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End of training

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@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0124
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- - Accuracy: 0.0036
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- - F1: 0.0059
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- - Precision: 0.0030
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- - Recall: 0.5938
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  - Learning Rate: 0.0
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  ## Model description
@@ -56,106 +56,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 20 | 0.5600 | 0.1031 | 0.0104 | 0.0052 | 0.9375 | 0.0000 |
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- | No log | 2.0 | 40 | 0.3965 | 0.0171 | 0.0101 | 0.0051 | 1.0 | 0.0000 |
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- | No log | 3.0 | 60 | 0.2675 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 4.0 | 80 | 0.1762 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 5.0 | 100 | 0.1157 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 6.0 | 120 | 0.0800 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 7.0 | 140 | 0.0600 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 8.0 | 160 | 0.0485 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 9.0 | 180 | 0.0418 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 10.0 | 200 | 0.0375 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 11.0 | 220 | 0.0348 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 12.0 | 240 | 0.0330 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 13.0 | 260 | 0.0317 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 14.0 | 280 | 0.0307 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 15.0 | 300 | 0.0299 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 16.0 | 320 | 0.0293 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 17.0 | 340 | 0.0288 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 18.0 | 360 | 0.0279 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 19.0 | 380 | 0.0262 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 20.0 | 400 | 0.0268 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 21.0 | 420 | 0.0253 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 22.0 | 440 | 0.0245 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 23.0 | 460 | 0.0236 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | No log | 24.0 | 480 | 0.0234 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | 0.1128 | 25.0 | 500 | 0.0229 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | 0.1128 | 26.0 | 520 | 0.0221 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | 0.1128 | 27.0 | 540 | 0.0216 | 0.0050 | 0.0100 | 0.0050 | 1.0 | 0.0000 |
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- | 0.1128 | 28.0 | 560 | 0.0219 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 29.0 | 580 | 0.0206 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 30.0 | 600 | 0.0200 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 31.0 | 620 | 0.0198 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 32.0 | 640 | 0.0195 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 33.0 | 660 | 0.0189 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 34.0 | 680 | 0.0192 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 35.0 | 700 | 0.0184 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 36.0 | 720 | 0.0180 | 0.0044 | 0.0087 | 0.0044 | 0.875 | 0.0000 |
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- | 0.1128 | 37.0 | 740 | 0.0174 | 0.0044 | 0.0087 | 0.0044 | 0.875 | 0.0000 |
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- | 0.1128 | 38.0 | 760 | 0.0172 | 0.0042 | 0.0084 | 0.0042 | 0.8438 | 0.0000 |
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- | 0.1128 | 39.0 | 780 | 0.0167 | 0.0044 | 0.0087 | 0.0044 | 0.875 | 0.0000 |
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- | 0.1128 | 40.0 | 800 | 0.0168 | 0.0045 | 0.0090 | 0.0045 | 0.9062 | 0.0000 |
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- | 0.1128 | 41.0 | 820 | 0.0168 | 0.0041 | 0.0081 | 0.0041 | 0.8125 | 0.0000 |
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- | 0.1128 | 42.0 | 840 | 0.0160 | 0.0041 | 0.0081 | 0.0041 | 0.8125 | 0.0000 |
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- | 0.1128 | 43.0 | 860 | 0.0156 | 0.0042 | 0.0084 | 0.0042 | 0.8438 | 0.0000 |
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- | 0.1128 | 44.0 | 880 | 0.0159 | 0.0038 | 0.0072 | 0.0036 | 0.7188 | 0.0000 |
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- | 0.1128 | 45.0 | 900 | 0.0153 | 0.0038 | 0.0075 | 0.0038 | 0.75 | 0.0000 |
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- | 0.1128 | 46.0 | 920 | 0.0155 | 0.0039 | 0.0078 | 0.0039 | 0.7812 | 0.0000 |
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- | 0.1128 | 47.0 | 940 | 0.0149 | 0.0038 | 0.0072 | 0.0036 | 0.7188 | 0.0000 |
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- | 0.1128 | 48.0 | 960 | 0.0148 | 0.0038 | 0.0075 | 0.0038 | 0.75 | 0.0000 |
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- | 0.1128 | 49.0 | 980 | 0.0149 | 0.0038 | 0.0072 | 0.0036 | 0.7188 | 0.0000 |
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- | 0.0237 | 50.0 | 1000 | 0.0146 | 0.0036 | 0.0072 | 0.0036 | 0.7188 | 1e-05 |
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- | 0.0237 | 51.0 | 1020 | 0.0143 | 0.0038 | 0.0075 | 0.0038 | 0.75 | 0.0000 |
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- | 0.0237 | 52.0 | 1040 | 0.0143 | 0.0038 | 0.0069 | 0.0034 | 0.6875 | 0.0000 |
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- | 0.0237 | 53.0 | 1060 | 0.0145 | 0.0038 | 0.0072 | 0.0036 | 0.7188 | 0.0000 |
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- | 0.0237 | 54.0 | 1080 | 0.0144 | 0.0036 | 0.0066 | 0.0033 | 0.6562 | 0.0000 |
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- | 0.0237 | 55.0 | 1100 | 0.0140 | 0.0039 | 0.0066 | 0.0033 | 0.6562 | 9e-06 |
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- | 0.0237 | 56.0 | 1120 | 0.0144 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0237 | 57.0 | 1140 | 0.0142 | 0.0038 | 0.0069 | 0.0034 | 0.6875 | 0.0000 |
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- | 0.0237 | 58.0 | 1160 | 0.0140 | 0.0034 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0237 | 59.0 | 1180 | 0.0138 | 0.0038 | 0.0066 | 0.0033 | 0.6562 | 0.0000 |
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- | 0.0237 | 60.0 | 1200 | 0.0137 | 0.0039 | 0.0069 | 0.0034 | 0.6875 | 0.0000 |
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- | 0.0237 | 61.0 | 1220 | 0.0139 | 0.0038 | 0.0066 | 0.0033 | 0.6562 | 0.0000 |
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- | 0.0237 | 62.0 | 1240 | 0.0139 | 0.0038 | 0.0066 | 0.0033 | 0.6562 | 0.0000 |
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- | 0.0237 | 63.0 | 1260 | 0.0136 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0237 | 64.0 | 1280 | 0.0135 | 0.0039 | 0.0072 | 0.0036 | 0.7188 | 0.0000 |
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- | 0.0237 | 65.0 | 1300 | 0.0133 | 0.0038 | 0.0066 | 0.0033 | 0.6562 | 7e-06 |
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- | 0.0237 | 66.0 | 1320 | 0.0136 | 0.0038 | 0.0066 | 0.0033 | 0.6562 | 0.0000 |
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- | 0.0237 | 67.0 | 1340 | 0.0137 | 0.0034 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0237 | 68.0 | 1360 | 0.0134 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0237 | 69.0 | 1380 | 0.0131 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0237 | 70.0 | 1400 | 0.0128 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 6e-06 |
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- | 0.0237 | 71.0 | 1420 | 0.0129 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0237 | 72.0 | 1440 | 0.0131 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0237 | 73.0 | 1460 | 0.0129 | 0.0039 | 0.0069 | 0.0034 | 0.6875 | 0.0000 |
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- | 0.0237 | 74.0 | 1480 | 0.0127 | 0.0036 | 0.0066 | 0.0033 | 0.6562 | 0.0000 |
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- | 0.0179 | 75.0 | 1500 | 0.0129 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 5e-06 |
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- | 0.0179 | 76.0 | 1520 | 0.0130 | 0.0038 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0179 | 77.0 | 1540 | 0.0128 | 0.0033 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 78.0 | 1560 | 0.0125 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0179 | 79.0 | 1580 | 0.0127 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 80.0 | 1600 | 0.0126 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 0.0000 |
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- | 0.0179 | 81.0 | 1620 | 0.0124 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 82.0 | 1640 | 0.0124 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 83.0 | 1660 | 0.0126 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 84.0 | 1680 | 0.0127 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 85.0 | 1700 | 0.0124 | 0.0036 | 0.0062 | 0.0031 | 0.625 | 3e-06 |
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- | 0.0179 | 86.0 | 1720 | 0.0125 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 87.0 | 1740 | 0.0124 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 88.0 | 1760 | 0.0127 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 89.0 | 1780 | 0.0123 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 90.0 | 1800 | 0.0124 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 91.0 | 1820 | 0.0124 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 92.0 | 1840 | 0.0125 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 93.0 | 1860 | 0.0124 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 94.0 | 1880 | 0.0123 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 95.0 | 1900 | 0.0124 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 96.0 | 1920 | 0.0124 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 97.0 | 1940 | 0.0124 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 98.0 | 1960 | 0.0124 | 0.0034 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0179 | 99.0 | 1980 | 0.0124 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0000 |
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- | 0.0152 | 100.0 | 2000 | 0.0124 | 0.0036 | 0.0059 | 0.0030 | 0.5938 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0299
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+ - Accuracy: 0.0075
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+ - F1: 0.0127
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+ - Precision: 0.0064
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+ - Recall: 0.8358
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  - Learning Rate: 0.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 26 | 0.5156 | 0.0531 | 0.0154 | 0.0078 | 0.9701 | 0.0000 |
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+ | No log | 2.0 | 52 | 0.3270 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 3.0 | 78 | 0.1951 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 4.0 | 104 | 0.1153 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 5.0 | 130 | 0.0759 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 6.0 | 156 | 0.0584 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 7.0 | 182 | 0.0503 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 8.0 | 208 | 0.0462 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 9.0 | 234 | 0.0440 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 10.0 | 260 | 0.0427 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 11.0 | 286 | 0.0419 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 12.0 | 312 | 0.0413 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 13.0 | 338 | 0.0410 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 14.0 | 364 | 0.0407 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 15.0 | 390 | 0.0405 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 16.0 | 416 | 0.0403 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 17.0 | 442 | 0.0402 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 18.0 | 468 | 0.0400 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | No log | 19.0 | 494 | 0.0399 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 20.0 | 520 | 0.0397 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 21.0 | 546 | 0.0388 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 22.0 | 572 | 0.0388 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 23.0 | 598 | 0.0387 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 24.0 | 624 | 0.0375 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 25.0 | 650 | 0.0376 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 26.0 | 676 | 0.0369 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 27.0 | 702 | 0.0367 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 28.0 | 728 | 0.0373 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 29.0 | 754 | 0.0362 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 30.0 | 780 | 0.0361 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 31.0 | 806 | 0.0358 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 32.0 | 832 | 0.0355 | 0.0077 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 33.0 | 858 | 0.0329 | 0.0073 | 0.0145 | 0.0073 | 0.9552 | 0.0000 |
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+ | 0.1144 | 34.0 | 884 | 0.0327 | 0.0078 | 0.0152 | 0.0077 | 1.0 | 0.0000 |
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+ | 0.1144 | 35.0 | 910 | 0.0328 | 0.0074 | 0.0147 | 0.0074 | 0.9701 | 0.0000 |
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+ | 0.1144 | 36.0 | 936 | 0.0324 | 0.0075 | 0.0147 | 0.0074 | 0.9701 | 0.0000 |
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+ | 0.1144 | 37.0 | 962 | 0.0316 | 0.0075 | 0.0147 | 0.0074 | 0.9701 | 0.0000 |
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+ | 0.1144 | 38.0 | 988 | 0.0326 | 0.0075 | 0.0145 | 0.0073 | 0.9552 | 0.0000 |
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+ | 0.029 | 39.0 | 1014 | 0.0312 | 0.0074 | 0.0145 | 0.0073 | 0.9552 | 0.0000 |
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+ | 0.029 | 40.0 | 1040 | 0.0313 | 0.0072 | 0.0141 | 0.0071 | 0.9254 | 0.0000 |
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+ | 0.029 | 41.0 | 1066 | 0.0320 | 0.0073 | 0.0143 | 0.0072 | 0.9403 | 0.0000 |
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+ | 0.029 | 42.0 | 1092 | 0.0316 | 0.0074 | 0.0145 | 0.0073 | 0.9552 | 0.0000 |
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+ | 0.029 | 43.0 | 1118 | 0.0310 | 0.0072 | 0.0136 | 0.0069 | 0.8955 | 0.0000 |
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+ | 0.029 | 44.0 | 1144 | 0.0311 | 0.0072 | 0.0141 | 0.0071 | 0.9254 | 0.0000 |
103
+ | 0.029 | 45.0 | 1170 | 0.0310 | 0.0072 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
104
+ | 0.029 | 46.0 | 1196 | 0.0312 | 0.0071 | 0.0134 | 0.0067 | 0.8806 | 0.0000 |
105
+ | 0.029 | 47.0 | 1222 | 0.0308 | 0.0071 | 0.0134 | 0.0067 | 0.8806 | 0.0000 |
106
+ | 0.029 | 48.0 | 1248 | 0.0312 | 0.0072 | 0.0136 | 0.0069 | 0.8955 | 0.0000 |
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+ | 0.029 | 49.0 | 1274 | 0.0309 | 0.0073 | 0.0136 | 0.0069 | 0.8955 | 0.0000 |
108
+ | 0.029 | 50.0 | 1300 | 0.0307 | 0.0070 | 0.0129 | 0.0065 | 0.8507 | 1e-05 |
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+ | 0.029 | 51.0 | 1326 | 0.0303 | 0.0071 | 0.0134 | 0.0067 | 0.8806 | 0.0000 |
110
+ | 0.029 | 52.0 | 1352 | 0.0307 | 0.0073 | 0.0134 | 0.0067 | 0.8806 | 0.0000 |
111
+ | 0.029 | 53.0 | 1378 | 0.0309 | 0.0073 | 0.0134 | 0.0067 | 0.8806 | 0.0000 |
112
+ | 0.029 | 54.0 | 1404 | 0.0312 | 0.0072 | 0.0136 | 0.0069 | 0.8955 | 0.0000 |
113
+ | 0.029 | 55.0 | 1430 | 0.0303 | 0.0073 | 0.0136 | 0.0069 | 0.8955 | 9e-06 |
114
+ | 0.029 | 56.0 | 1456 | 0.0300 | 0.0071 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
115
+ | 0.029 | 57.0 | 1482 | 0.0301 | 0.0069 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
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+ | 0.0205 | 58.0 | 1508 | 0.0302 | 0.0072 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
117
+ | 0.0205 | 59.0 | 1534 | 0.0303 | 0.0071 | 0.0129 | 0.0065 | 0.8507 | 0.0000 |
118
+ | 0.0205 | 60.0 | 1560 | 0.0308 | 0.0073 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
119
+ | 0.0205 | 61.0 | 1586 | 0.0309 | 0.0074 | 0.0136 | 0.0069 | 0.8955 | 0.0000 |
120
+ | 0.0205 | 62.0 | 1612 | 0.0306 | 0.0078 | 0.0130 | 0.0065 | 0.8507 | 0.0000 |
121
+ | 0.0205 | 63.0 | 1638 | 0.0308 | 0.0077 | 0.0130 | 0.0065 | 0.8507 | 0.0000 |
122
+ | 0.0205 | 64.0 | 1664 | 0.0303 | 0.0071 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
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+ | 0.0205 | 65.0 | 1690 | 0.0312 | 0.0077 | 0.0132 | 0.0066 | 0.8657 | 7e-06 |
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+ | 0.0205 | 66.0 | 1716 | 0.0304 | 0.0073 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
125
+ | 0.0205 | 67.0 | 1742 | 0.0305 | 0.0073 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
126
+ | 0.0205 | 68.0 | 1768 | 0.0304 | 0.0074 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
127
+ | 0.0205 | 69.0 | 1794 | 0.0306 | 0.0072 | 0.0129 | 0.0065 | 0.8507 | 0.0000 |
128
+ | 0.0205 | 70.0 | 1820 | 0.0314 | 0.0080 | 0.0134 | 0.0068 | 0.8806 | 6e-06 |
129
+ | 0.0205 | 71.0 | 1846 | 0.0314 | 0.0075 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
130
+ | 0.0205 | 72.0 | 1872 | 0.0307 | 0.0075 | 0.0132 | 0.0066 | 0.8657 | 0.0000 |
131
+ | 0.0205 | 73.0 | 1898 | 0.0300 | 0.0075 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
132
+ | 0.0205 | 74.0 | 1924 | 0.0301 | 0.0072 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
133
+ | 0.0205 | 75.0 | 1950 | 0.0297 | 0.0075 | 0.0132 | 0.0066 | 0.8657 | 5e-06 |
134
+ | 0.0205 | 76.0 | 1976 | 0.0306 | 0.0075 | 0.0130 | 0.0065 | 0.8507 | 0.0000 |
135
+ | 0.016 | 77.0 | 2002 | 0.0299 | 0.0073 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
136
+ | 0.016 | 78.0 | 2028 | 0.0301 | 0.0074 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
137
+ | 0.016 | 79.0 | 2054 | 0.0301 | 0.0078 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
138
+ | 0.016 | 80.0 | 2080 | 0.0306 | 0.0078 | 0.0130 | 0.0065 | 0.8507 | 0.0000 |
139
+ | 0.016 | 81.0 | 2106 | 0.0302 | 0.0073 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
140
+ | 0.016 | 82.0 | 2132 | 0.0305 | 0.0073 | 0.0129 | 0.0065 | 0.8507 | 0.0000 |
141
+ | 0.016 | 83.0 | 2158 | 0.0303 | 0.0073 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
142
+ | 0.016 | 84.0 | 2184 | 0.0302 | 0.0072 | 0.0129 | 0.0065 | 0.8507 | 0.0000 |
143
+ | 0.016 | 85.0 | 2210 | 0.0302 | 0.0072 | 0.0127 | 0.0064 | 0.8358 | 3e-06 |
144
+ | 0.016 | 86.0 | 2236 | 0.0299 | 0.0072 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
145
+ | 0.016 | 87.0 | 2262 | 0.0296 | 0.0069 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
146
+ | 0.016 | 88.0 | 2288 | 0.0299 | 0.0073 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
147
+ | 0.016 | 89.0 | 2314 | 0.0297 | 0.0072 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
148
+ | 0.016 | 90.0 | 2340 | 0.0296 | 0.0073 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
149
+ | 0.016 | 91.0 | 2366 | 0.0299 | 0.0071 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
150
+ | 0.016 | 92.0 | 2392 | 0.0293 | 0.0071 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
151
+ | 0.016 | 93.0 | 2418 | 0.0301 | 0.0073 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
152
+ | 0.016 | 94.0 | 2444 | 0.0294 | 0.0071 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
153
+ | 0.016 | 95.0 | 2470 | 0.0296 | 0.0072 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
154
+ | 0.016 | 96.0 | 2496 | 0.0298 | 0.0074 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
155
+ | 0.0136 | 97.0 | 2522 | 0.0299 | 0.0073 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
156
+ | 0.0136 | 98.0 | 2548 | 0.0298 | 0.0074 | 0.0125 | 0.0063 | 0.8209 | 0.0000 |
157
+ | 0.0136 | 99.0 | 2574 | 0.0299 | 0.0075 | 0.0127 | 0.0064 | 0.8358 | 0.0000 |
158
+ | 0.0136 | 100.0 | 2600 | 0.0299 | 0.0075 | 0.0127 | 0.0064 | 0.8358 | 0.0 |
159
 
160
 
161
  ### Framework versions