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sembr2023-distilbert-base-cased

Token Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. README.md +110 -134
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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  base_model: distilbert-base-cased
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  tags:
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  - generated_from_trainer
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- datasets:
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- - sembr2023
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  metrics:
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  - precision
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  - recall
@@ -12,29 +10,7 @@ metrics:
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  - accuracy
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  model-index:
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  - name: sembr2023-distilbert-base-cased
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- results:
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- - task:
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- name: Token Classification
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- type: token-classification
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- dataset:
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- name: sembr2023
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- type: sembr2023
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- config: sembr2023
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- split: test
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- args: sembr2023
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- metrics:
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- - name: Precision
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- type: precision
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- value: 0.7634175691937425
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- - name: Recall
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- type: recall
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- value: 0.8074328624156802
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- - name: F1
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- type: f1
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- value: 0.784808560648234
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- - name: Accuracy
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- type: accuracy
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- value: 0.9630624508950375
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  ---
39
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -42,16 +18,16 @@ should probably proofread and complete it, then remove this comment. -->
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43
  # sembr2023-distilbert-base-cased
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45
- This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the sembr2023 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2429
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- - Precision: 0.7634
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- - Recall: 0.8074
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- - F1: 0.7848
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- - Iou: 0.6458
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- - Accuracy: 0.9631
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- - Balanced Accuracy: 0.8923
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- - Overall Accuracy: 0.9517
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  ## Model description
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@@ -82,106 +58,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Iou | Accuracy | Balanced Accuracy | Overall Accuracy |
84
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:------:|:--------:|:-----------------:|:----------------:|
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- | 0.3674 | 0.07 | 10 | 0.3596 | 0 | 0.0 | 0.0 | 0.0 | 0.9166 | 0.5 | 0.9166 |
86
- | 0.2807 | 0.13 | 20 | 0.2911 | 0.9062 | 0.0185 | 0.0362 | 0.0184 | 0.9180 | 0.5091 | 0.9177 |
87
- | 0.2034 | 0.2 | 30 | 0.2341 | 0.6952 | 0.6530 | 0.6734 | 0.5077 | 0.9472 | 0.8135 | 0.9306 |
88
- | 0.159 | 0.26 | 40 | 0.1985 | 0.7406 | 0.6996 | 0.7195 | 0.5620 | 0.9545 | 0.8387 | 0.9384 |
89
- | 0.1649 | 0.33 | 50 | 0.1878 | 0.7439 | 0.7206 | 0.7321 | 0.5774 | 0.9560 | 0.8490 | 0.9404 |
90
- | 0.1355 | 0.4 | 60 | 0.1698 | 0.8897 | 0.6131 | 0.7259 | 0.5698 | 0.9614 | 0.8031 | 0.9496 |
91
- | 0.1278 | 0.46 | 70 | 0.1616 | 0.8216 | 0.6898 | 0.7500 | 0.6000 | 0.9616 | 0.8381 | 0.9505 |
92
- | 0.1432 | 0.53 | 80 | 0.1658 | 0.7837 | 0.7452 | 0.7640 | 0.6181 | 0.9616 | 0.8632 | 0.9464 |
93
- | 0.1238 | 0.6 | 90 | 0.1728 | 0.7376 | 0.7696 | 0.7533 | 0.6042 | 0.9579 | 0.8724 | 0.9432 |
94
- | 0.1103 | 0.66 | 100 | 0.1587 | 0.8166 | 0.7374 | 0.7750 | 0.6327 | 0.9643 | 0.8612 | 0.9498 |
95
- | 0.1031 | 0.73 | 110 | 0.1615 | 0.8108 | 0.7365 | 0.7719 | 0.6285 | 0.9637 | 0.8605 | 0.9482 |
96
- | 0.1097 | 0.79 | 120 | 0.1623 | 0.8007 | 0.7428 | 0.7706 | 0.6269 | 0.9631 | 0.8630 | 0.9494 |
97
- | 0.09 | 0.86 | 130 | 0.1486 | 0.8092 | 0.7393 | 0.7727 | 0.6296 | 0.9637 | 0.8617 | 0.9517 |
98
- | 0.11 | 0.93 | 140 | 0.1466 | 0.8085 | 0.7424 | 0.7740 | 0.6313 | 0.9638 | 0.8632 | 0.9522 |
99
- | 0.0982 | 0.99 | 150 | 0.1547 | 0.8049 | 0.7328 | 0.7672 | 0.6223 | 0.9629 | 0.8583 | 0.9513 |
100
- | 0.083 | 1.06 | 160 | 0.1637 | 0.8175 | 0.7421 | 0.7780 | 0.6366 | 0.9647 | 0.8635 | 0.9517 |
101
- | 0.0829 | 1.13 | 170 | 0.1706 | 0.7825 | 0.7667 | 0.7745 | 0.6320 | 0.9628 | 0.8737 | 0.9472 |
102
- | 0.0943 | 1.19 | 180 | 0.1664 | 0.7734 | 0.7768 | 0.7751 | 0.6328 | 0.9624 | 0.8780 | 0.9480 |
103
- | 0.0797 | 1.26 | 190 | 0.1607 | 0.7912 | 0.7652 | 0.7780 | 0.6366 | 0.9636 | 0.8734 | 0.9494 |
104
- | 0.0765 | 1.32 | 200 | 0.1577 | 0.8128 | 0.7586 | 0.7847 | 0.6457 | 0.9653 | 0.8713 | 0.9515 |
105
- | 0.0857 | 1.39 | 210 | 0.1755 | 0.7616 | 0.7903 | 0.7756 | 0.6335 | 0.9619 | 0.8839 | 0.9477 |
106
- | 0.0593 | 1.46 | 220 | 0.1633 | 0.7577 | 0.7922 | 0.7746 | 0.6321 | 0.9615 | 0.8846 | 0.9487 |
107
- | 0.074 | 1.52 | 230 | 0.1576 | 0.7979 | 0.7586 | 0.7777 | 0.6363 | 0.9638 | 0.8705 | 0.9522 |
108
- | 0.0769 | 1.59 | 240 | 0.1700 | 0.7858 | 0.7778 | 0.7818 | 0.6417 | 0.9638 | 0.8792 | 0.9517 |
109
- | 0.0711 | 1.66 | 250 | 0.1643 | 0.8073 | 0.7671 | 0.7867 | 0.6483 | 0.9653 | 0.8752 | 0.9535 |
110
- | 0.0695 | 1.72 | 260 | 0.1831 | 0.7507 | 0.7985 | 0.7739 | 0.6312 | 0.9611 | 0.8872 | 0.9479 |
111
- | 0.0505 | 1.79 | 270 | 0.1646 | 0.8040 | 0.7569 | 0.7797 | 0.6390 | 0.9643 | 0.8701 | 0.9526 |
112
- | 0.0661 | 1.85 | 280 | 0.1848 | 0.7423 | 0.8012 | 0.7706 | 0.6269 | 0.9602 | 0.8879 | 0.9472 |
113
- | 0.0529 | 1.92 | 290 | 0.1723 | 0.7637 | 0.7868 | 0.7751 | 0.6328 | 0.9619 | 0.8823 | 0.9497 |
114
- | 0.0593 | 1.99 | 300 | 0.1738 | 0.7399 | 0.8134 | 0.7749 | 0.6325 | 0.9606 | 0.8937 | 0.9496 |
115
- | 0.0485 | 2.05 | 310 | 0.1840 | 0.7713 | 0.7848 | 0.7780 | 0.6367 | 0.9626 | 0.8818 | 0.9499 |
116
- | 0.0467 | 2.12 | 320 | 0.1728 | 0.7688 | 0.7840 | 0.7763 | 0.6344 | 0.9623 | 0.8813 | 0.9516 |
117
- | 0.048 | 2.19 | 330 | 0.1878 | 0.7804 | 0.7766 | 0.7785 | 0.6374 | 0.9631 | 0.8784 | 0.9507 |
118
- | 0.0498 | 2.25 | 340 | 0.2083 | 0.7469 | 0.8031 | 0.7740 | 0.6313 | 0.9609 | 0.8892 | 0.9471 |
119
- | 0.0449 | 2.32 | 350 | 0.1915 | 0.7802 | 0.7761 | 0.7782 | 0.6369 | 0.9631 | 0.8781 | 0.9498 |
120
- | 0.0514 | 2.38 | 360 | 0.1964 | 0.7385 | 0.8157 | 0.7752 | 0.6329 | 0.9605 | 0.8947 | 0.9479 |
121
- | 0.038 | 2.45 | 370 | 0.2044 | 0.7504 | 0.7995 | 0.7742 | 0.6316 | 0.9611 | 0.8877 | 0.9481 |
122
- | 0.0505 | 2.52 | 380 | 0.2051 | 0.7433 | 0.8111 | 0.7757 | 0.6336 | 0.9609 | 0.8928 | 0.9479 |
123
- | 0.0513 | 2.58 | 390 | 0.1966 | 0.7569 | 0.8016 | 0.7786 | 0.6374 | 0.9620 | 0.8891 | 0.9497 |
124
- | 0.0366 | 2.65 | 400 | 0.1925 | 0.7479 | 0.8105 | 0.7779 | 0.6365 | 0.9614 | 0.8928 | 0.9491 |
125
- | 0.0484 | 2.72 | 410 | 0.1848 | 0.7694 | 0.7947 | 0.7819 | 0.6419 | 0.9630 | 0.8865 | 0.9520 |
126
- | 0.0406 | 2.78 | 420 | 0.2001 | 0.7712 | 0.7915 | 0.7812 | 0.6410 | 0.9630 | 0.8851 | 0.9508 |
127
- | 0.0355 | 2.85 | 430 | 0.1898 | 0.7611 | 0.8023 | 0.7812 | 0.6409 | 0.9625 | 0.8897 | 0.9525 |
128
- | 0.0368 | 2.91 | 440 | 0.2015 | 0.7627 | 0.7919 | 0.7770 | 0.6354 | 0.9621 | 0.8847 | 0.9497 |
129
- | 0.0331 | 2.98 | 450 | 0.2005 | 0.7674 | 0.7966 | 0.7817 | 0.6417 | 0.9629 | 0.8873 | 0.9499 |
130
- | 0.033 | 3.05 | 460 | 0.2134 | 0.7487 | 0.8051 | 0.7759 | 0.6339 | 0.9612 | 0.8903 | 0.9493 |
131
- | 0.0294 | 3.11 | 470 | 0.2022 | 0.7706 | 0.7900 | 0.7802 | 0.6396 | 0.9629 | 0.8843 | 0.9520 |
132
- | 0.036 | 3.18 | 480 | 0.2119 | 0.7775 | 0.7956 | 0.7864 | 0.6480 | 0.9640 | 0.8874 | 0.9513 |
133
- | 0.0296 | 3.25 | 490 | 0.2050 | 0.7541 | 0.8095 | 0.7808 | 0.6404 | 0.9621 | 0.8927 | 0.9510 |
134
- | 0.0226 | 3.31 | 500 | 0.1876 | 0.7930 | 0.7784 | 0.7857 | 0.6470 | 0.9646 | 0.8800 | 0.9547 |
135
- | 0.0347 | 3.38 | 510 | 0.2098 | 0.7780 | 0.7919 | 0.7849 | 0.6460 | 0.9638 | 0.8857 | 0.9519 |
136
- | 0.0301 | 3.44 | 520 | 0.2264 | 0.7570 | 0.8079 | 0.7816 | 0.6415 | 0.9623 | 0.8922 | 0.9496 |
137
- | 0.0286 | 3.51 | 530 | 0.2127 | 0.7544 | 0.8088 | 0.7807 | 0.6402 | 0.9621 | 0.8924 | 0.9504 |
138
- | 0.0246 | 3.58 | 540 | 0.2144 | 0.7637 | 0.8007 | 0.7818 | 0.6417 | 0.9627 | 0.8891 | 0.9513 |
139
- | 0.0289 | 3.64 | 550 | 0.2028 | 0.7762 | 0.7929 | 0.7845 | 0.6454 | 0.9637 | 0.8861 | 0.9529 |
140
- | 0.0201 | 3.71 | 560 | 0.2142 | 0.7676 | 0.8016 | 0.7842 | 0.6450 | 0.9632 | 0.8897 | 0.9512 |
141
- | 0.0261 | 3.77 | 570 | 0.2016 | 0.7727 | 0.7953 | 0.7839 | 0.6446 | 0.9634 | 0.8870 | 0.9525 |
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- | 0.0267 | 3.84 | 580 | 0.2111 | 0.7606 | 0.8111 | 0.7850 | 0.6462 | 0.9629 | 0.8939 | 0.9506 |
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- | 0.0256 | 3.91 | 590 | 0.2286 | 0.7477 | 0.8225 | 0.7833 | 0.6438 | 0.9620 | 0.8986 | 0.9500 |
144
- | 0.0288 | 3.97 | 600 | 0.2129 | 0.7634 | 0.8026 | 0.7825 | 0.6427 | 0.9628 | 0.8900 | 0.9518 |
145
- | 0.0228 | 4.04 | 610 | 0.2246 | 0.7781 | 0.7941 | 0.7860 | 0.6475 | 0.9639 | 0.8867 | 0.9519 |
146
- | 0.0228 | 4.11 | 620 | 0.2207 | 0.7674 | 0.8053 | 0.7859 | 0.6473 | 0.9634 | 0.8915 | 0.9518 |
147
- | 0.0246 | 4.17 | 630 | 0.2288 | 0.7573 | 0.8132 | 0.7843 | 0.6451 | 0.9627 | 0.8947 | 0.9505 |
148
- | 0.0239 | 4.24 | 640 | 0.2267 | 0.7695 | 0.8087 | 0.7886 | 0.6510 | 0.9638 | 0.8933 | 0.9520 |
149
- | 0.0217 | 4.3 | 650 | 0.2236 | 0.7734 | 0.8020 | 0.7874 | 0.6494 | 0.9639 | 0.8903 | 0.9515 |
150
- | 0.0247 | 4.37 | 660 | 0.2230 | 0.7619 | 0.8104 | 0.7854 | 0.6466 | 0.9631 | 0.8937 | 0.9520 |
151
- | 0.0236 | 4.44 | 670 | 0.2174 | 0.7675 | 0.8041 | 0.7854 | 0.6466 | 0.9633 | 0.8910 | 0.9521 |
152
- | 0.0188 | 4.5 | 680 | 0.2209 | 0.7710 | 0.8006 | 0.7855 | 0.6468 | 0.9635 | 0.8895 | 0.9524 |
153
- | 0.0123 | 4.57 | 690 | 0.2370 | 0.7737 | 0.7992 | 0.7862 | 0.6477 | 0.9637 | 0.8889 | 0.9506 |
154
- | 0.0182 | 4.64 | 700 | 0.2313 | 0.7724 | 0.8040 | 0.7879 | 0.6500 | 0.9639 | 0.8912 | 0.9511 |
155
- | 0.0131 | 4.7 | 710 | 0.2354 | 0.7581 | 0.8134 | 0.7848 | 0.6458 | 0.9628 | 0.8949 | 0.9507 |
156
- | 0.0186 | 4.77 | 720 | 0.2312 | 0.7615 | 0.8051 | 0.7827 | 0.6430 | 0.9627 | 0.8911 | 0.9515 |
157
- | 0.0188 | 4.83 | 730 | 0.2328 | 0.7551 | 0.8109 | 0.7820 | 0.6420 | 0.9623 | 0.8935 | 0.9503 |
158
- | 0.0214 | 4.9 | 740 | 0.2333 | 0.7667 | 0.8021 | 0.7840 | 0.6447 | 0.9631 | 0.8899 | 0.9512 |
159
- | 0.0137 | 4.97 | 750 | 0.2314 | 0.7642 | 0.8054 | 0.7842 | 0.6451 | 0.9630 | 0.8914 | 0.9518 |
160
- | 0.0152 | 5.03 | 760 | 0.2347 | 0.7681 | 0.8067 | 0.7869 | 0.6487 | 0.9636 | 0.8923 | 0.9520 |
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- | 0.0193 | 5.1 | 770 | 0.2426 | 0.7536 | 0.8189 | 0.7849 | 0.6459 | 0.9626 | 0.8973 | 0.9510 |
162
- | 0.0155 | 5.17 | 780 | 0.2356 | 0.7668 | 0.8078 | 0.7868 | 0.6485 | 0.9635 | 0.8927 | 0.9519 |
163
- | 0.0144 | 5.23 | 790 | 0.2339 | 0.7644 | 0.8078 | 0.7855 | 0.6468 | 0.9632 | 0.8926 | 0.9518 |
164
- | 0.0199 | 5.3 | 800 | 0.2380 | 0.7623 | 0.8090 | 0.7849 | 0.6460 | 0.9630 | 0.8930 | 0.9517 |
165
- | 0.0127 | 5.36 | 810 | 0.2391 | 0.7660 | 0.8064 | 0.7857 | 0.6470 | 0.9633 | 0.8920 | 0.9518 |
166
- | 0.0197 | 5.43 | 820 | 0.2384 | 0.7629 | 0.8092 | 0.7854 | 0.6466 | 0.9631 | 0.8932 | 0.9518 |
167
- | 0.0147 | 5.5 | 830 | 0.2385 | 0.7650 | 0.8065 | 0.7852 | 0.6464 | 0.9632 | 0.8920 | 0.9517 |
168
- | 0.0168 | 5.56 | 840 | 0.2344 | 0.7652 | 0.8055 | 0.7848 | 0.6459 | 0.9632 | 0.8915 | 0.9519 |
169
- | 0.0168 | 5.63 | 850 | 0.2352 | 0.7659 | 0.8045 | 0.7847 | 0.6457 | 0.9632 | 0.8911 | 0.9519 |
170
- | 0.0193 | 5.7 | 860 | 0.2399 | 0.7592 | 0.8114 | 0.7844 | 0.6453 | 0.9628 | 0.8940 | 0.9514 |
171
- | 0.0152 | 5.76 | 870 | 0.2418 | 0.7577 | 0.8115 | 0.7837 | 0.6443 | 0.9626 | 0.8939 | 0.9510 |
172
- | 0.013 | 5.83 | 880 | 0.2386 | 0.7645 | 0.8057 | 0.7845 | 0.6455 | 0.9631 | 0.8915 | 0.9516 |
173
- | 0.0142 | 5.89 | 890 | 0.2423 | 0.7606 | 0.8093 | 0.7842 | 0.6451 | 0.9629 | 0.8931 | 0.9512 |
174
- | 0.0118 | 5.96 | 900 | 0.2419 | 0.7625 | 0.8076 | 0.7844 | 0.6453 | 0.9630 | 0.8923 | 0.9514 |
175
- | 0.0174 | 6.03 | 910 | 0.2428 | 0.7616 | 0.8078 | 0.7840 | 0.6448 | 0.9629 | 0.8924 | 0.9515 |
176
- | 0.0152 | 6.09 | 920 | 0.2442 | 0.7604 | 0.8093 | 0.7841 | 0.6449 | 0.9628 | 0.8931 | 0.9512 |
177
- | 0.0174 | 6.16 | 930 | 0.2450 | 0.7592 | 0.8109 | 0.7842 | 0.6450 | 0.9628 | 0.8937 | 0.9510 |
178
- | 0.0181 | 6.23 | 940 | 0.2449 | 0.7599 | 0.8104 | 0.7843 | 0.6452 | 0.9628 | 0.8935 | 0.9511 |
179
- | 0.0162 | 6.29 | 950 | 0.2440 | 0.7617 | 0.8085 | 0.7844 | 0.6453 | 0.9629 | 0.8927 | 0.9514 |
180
- | 0.0183 | 6.36 | 960 | 0.2431 | 0.7634 | 0.8073 | 0.7847 | 0.6457 | 0.9631 | 0.8923 | 0.9517 |
181
- | 0.0142 | 6.42 | 970 | 0.2430 | 0.7634 | 0.8074 | 0.7848 | 0.6458 | 0.9631 | 0.8923 | 0.9517 |
182
- | 0.0121 | 6.49 | 980 | 0.2430 | 0.7632 | 0.8074 | 0.7847 | 0.6457 | 0.9630 | 0.8923 | 0.9517 |
183
- | 0.017 | 6.56 | 990 | 0.2429 | 0.7634 | 0.8074 | 0.7848 | 0.6458 | 0.9631 | 0.8923 | 0.9517 |
184
- | 0.0155 | 6.62 | 1000 | 0.2429 | 0.7634 | 0.8074 | 0.7848 | 0.6458 | 0.9631 | 0.8923 | 0.9517 |
185
 
186
 
187
  ### Framework versions
 
3
  base_model: distilbert-base-cased
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - precision
8
  - recall
 
10
  - accuracy
11
  model-index:
12
  - name: sembr2023-distilbert-base-cased
13
+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
  ---
15
 
16
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
18
 
19
  # sembr2023-distilbert-base-cased
20
 
21
+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.2214
24
+ - Precision: 0.7952
25
+ - Recall: 0.8261
26
+ - F1: 0.8104
27
+ - Iou: 0.6812
28
+ - Accuracy: 0.9665
29
+ - Balanced Accuracy: 0.9030
30
+ - Overall Accuracy: 0.9525
31
 
32
  ## Model description
33
 
 
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Iou | Accuracy | Balanced Accuracy | Overall Accuracy |
60
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:------:|:--------:|:-----------------:|:----------------:|
61
+ | 0.3717 | 0.06 | 10 | 0.3886 | 0 | 0.0 | 0.0 | 0.0 | 0.9133 | 0.5 | 0.9133 |
62
+ | 0.3692 | 0.12 | 20 | 0.3552 | 0 | 0.0 | 0.0 | 0.0 | 0.9133 | 0.5 | 0.9133 |
63
+ | 0.2579 | 0.17 | 30 | 0.2734 | 0.8923 | 0.1841 | 0.3052 | 0.1801 | 0.9274 | 0.5910 | 0.9255 |
64
+ | 0.2135 | 0.23 | 40 | 0.2224 | 0.7632 | 0.6267 | 0.6882 | 0.5247 | 0.9508 | 0.8041 | 0.9348 |
65
+ | 0.225 | 0.29 | 50 | 0.1935 | 0.8426 | 0.6378 | 0.7260 | 0.5699 | 0.9583 | 0.8132 | 0.9427 |
66
+ | 0.1637 | 0.35 | 60 | 0.1785 | 0.8115 | 0.6951 | 0.7488 | 0.5985 | 0.9596 | 0.8399 | 0.9470 |
67
+ | 0.1497 | 0.4 | 70 | 0.1837 | 0.8159 | 0.6961 | 0.7513 | 0.6016 | 0.9601 | 0.8406 | 0.9434 |
68
+ | 0.1248 | 0.46 | 80 | 0.1758 | 0.7920 | 0.7523 | 0.7717 | 0.6282 | 0.9614 | 0.8668 | 0.9446 |
69
+ | 0.1297 | 0.52 | 90 | 0.1796 | 0.7740 | 0.7933 | 0.7835 | 0.6441 | 0.9620 | 0.8857 | 0.9430 |
70
+ | 0.1321 | 0.58 | 100 | 0.1721 | 0.8616 | 0.7178 | 0.7832 | 0.6436 | 0.9656 | 0.8534 | 0.9496 |
71
+ | 0.1058 | 0.64 | 110 | 0.1572 | 0.8132 | 0.7766 | 0.7945 | 0.6591 | 0.9652 | 0.8799 | 0.9494 |
72
+ | 0.1183 | 0.69 | 120 | 0.1734 | 0.8084 | 0.7792 | 0.7935 | 0.6578 | 0.9649 | 0.8809 | 0.9470 |
73
+ | 0.1195 | 0.75 | 130 | 0.1652 | 0.7753 | 0.7952 | 0.7851 | 0.6462 | 0.9623 | 0.8867 | 0.9463 |
74
+ | 0.0996 | 0.81 | 140 | 0.1433 | 0.8292 | 0.7684 | 0.7977 | 0.6634 | 0.9662 | 0.8767 | 0.9527 |
75
+ | 0.1009 | 0.87 | 150 | 0.1817 | 0.8181 | 0.7808 | 0.7990 | 0.6653 | 0.9660 | 0.8822 | 0.9480 |
76
+ | 0.0953 | 0.92 | 160 | 0.1554 | 0.8669 | 0.7245 | 0.7893 | 0.6519 | 0.9665 | 0.8570 | 0.9524 |
77
+ | 0.1077 | 0.98 | 170 | 0.1556 | 0.8261 | 0.7752 | 0.7998 | 0.6664 | 0.9664 | 0.8798 | 0.9512 |
78
+ | 0.0981 | 1.04 | 180 | 0.1526 | 0.8283 | 0.7703 | 0.7982 | 0.6642 | 0.9663 | 0.8776 | 0.9520 |
79
+ | 0.0982 | 1.1 | 190 | 0.1547 | 0.8001 | 0.7976 | 0.7989 | 0.6651 | 0.9652 | 0.8894 | 0.9504 |
80
+ | 0.0789 | 1.16 | 200 | 0.1606 | 0.8135 | 0.7947 | 0.8040 | 0.6722 | 0.9664 | 0.8887 | 0.9513 |
81
+ | 0.0829 | 1.21 | 210 | 0.1566 | 0.8244 | 0.7872 | 0.8054 | 0.6741 | 0.9670 | 0.8856 | 0.9517 |
82
+ | 0.0742 | 1.27 | 220 | 0.1680 | 0.8167 | 0.7895 | 0.8029 | 0.6707 | 0.9664 | 0.8864 | 0.9506 |
83
+ | 0.084 | 1.33 | 230 | 0.1680 | 0.8197 | 0.7824 | 0.8006 | 0.6675 | 0.9662 | 0.8830 | 0.9511 |
84
+ | 0.0702 | 1.39 | 240 | 0.1653 | 0.8184 | 0.7996 | 0.8089 | 0.6791 | 0.9673 | 0.8914 | 0.9510 |
85
+ | 0.0713 | 1.45 | 250 | 0.1675 | 0.7844 | 0.8184 | 0.8010 | 0.6681 | 0.9648 | 0.8985 | 0.9492 |
86
+ | 0.0763 | 1.5 | 260 | 0.1501 | 0.8239 | 0.7833 | 0.8031 | 0.6710 | 0.9667 | 0.8837 | 0.9532 |
87
+ | 0.0738 | 1.56 | 270 | 0.1518 | 0.8203 | 0.7962 | 0.8081 | 0.6780 | 0.9672 | 0.8898 | 0.9527 |
88
+ | 0.0736 | 1.62 | 280 | 0.1624 | 0.7849 | 0.8222 | 0.8031 | 0.6710 | 0.9651 | 0.9004 | 0.9508 |
89
+ | 0.0659 | 1.68 | 290 | 0.1735 | 0.7775 | 0.8308 | 0.8033 | 0.6712 | 0.9647 | 0.9041 | 0.9496 |
90
+ | 0.0653 | 1.73 | 300 | 0.1586 | 0.7828 | 0.8224 | 0.8022 | 0.6697 | 0.9648 | 0.9004 | 0.9503 |
91
+ | 0.0635 | 1.79 | 310 | 0.1720 | 0.8091 | 0.8033 | 0.8062 | 0.6753 | 0.9665 | 0.8927 | 0.9510 |
92
+ | 0.0724 | 1.85 | 320 | 0.1588 | 0.8057 | 0.8033 | 0.8045 | 0.6729 | 0.9662 | 0.8925 | 0.9531 |
93
+ | 0.0612 | 1.91 | 330 | 0.1818 | 0.7828 | 0.8222 | 0.8020 | 0.6695 | 0.9648 | 0.9003 | 0.9488 |
94
+ | 0.0612 | 1.97 | 340 | 0.1704 | 0.8235 | 0.7893 | 0.8060 | 0.6751 | 0.9671 | 0.8866 | 0.9526 |
95
+ | 0.0592 | 2.02 | 350 | 0.1634 | 0.8002 | 0.7929 | 0.7965 | 0.6618 | 0.9649 | 0.8870 | 0.9520 |
96
+ | 0.0474 | 2.08 | 360 | 0.1835 | 0.7931 | 0.8120 | 0.8025 | 0.6701 | 0.9654 | 0.8960 | 0.9506 |
97
+ | 0.0484 | 2.14 | 370 | 0.1790 | 0.8123 | 0.7941 | 0.8031 | 0.6710 | 0.9663 | 0.8883 | 0.9522 |
98
+ | 0.0524 | 2.2 | 380 | 0.1812 | 0.7702 | 0.8291 | 0.7985 | 0.6646 | 0.9637 | 0.9028 | 0.9499 |
99
+ | 0.052 | 2.25 | 390 | 0.1716 | 0.8041 | 0.7964 | 0.8002 | 0.6670 | 0.9655 | 0.8890 | 0.9533 |
100
+ | 0.0443 | 2.31 | 400 | 0.1676 | 0.8054 | 0.7976 | 0.8015 | 0.6687 | 0.9658 | 0.8897 | 0.9535 |
101
+ | 0.057 | 2.37 | 410 | 0.1836 | 0.8028 | 0.8084 | 0.8056 | 0.6745 | 0.9662 | 0.8948 | 0.9507 |
102
+ | 0.0414 | 2.43 | 420 | 0.1791 | 0.8049 | 0.8053 | 0.8051 | 0.6737 | 0.9662 | 0.8934 | 0.9527 |
103
+ | 0.0471 | 2.49 | 430 | 0.1771 | 0.7964 | 0.8126 | 0.8044 | 0.6728 | 0.9658 | 0.8965 | 0.9527 |
104
+ | 0.039 | 2.54 | 440 | 0.1773 | 0.8066 | 0.8021 | 0.8043 | 0.6727 | 0.9662 | 0.8919 | 0.9537 |
105
+ | 0.0543 | 2.6 | 450 | 0.1855 | 0.7887 | 0.8193 | 0.8037 | 0.6718 | 0.9653 | 0.8992 | 0.9511 |
106
+ | 0.0398 | 2.66 | 460 | 0.1959 | 0.7938 | 0.8147 | 0.8041 | 0.6724 | 0.9656 | 0.8973 | 0.9504 |
107
+ | 0.0419 | 2.72 | 470 | 0.1944 | 0.7847 | 0.8286 | 0.8060 | 0.6751 | 0.9654 | 0.9035 | 0.9498 |
108
+ | 0.0436 | 2.77 | 480 | 0.1869 | 0.8002 | 0.8109 | 0.8055 | 0.6744 | 0.9661 | 0.8958 | 0.9520 |
109
+ | 0.0497 | 2.83 | 490 | 0.1850 | 0.7736 | 0.8422 | 0.8065 | 0.6757 | 0.9650 | 0.9094 | 0.9501 |
110
+ | 0.0408 | 2.89 | 500 | 0.1883 | 0.8178 | 0.7962 | 0.8068 | 0.6762 | 0.9670 | 0.8897 | 0.9527 |
111
+ | 0.0332 | 2.95 | 510 | 0.1883 | 0.7913 | 0.8188 | 0.8048 | 0.6733 | 0.9656 | 0.8991 | 0.9516 |
112
+ | 0.0382 | 3.01 | 520 | 0.2008 | 0.7914 | 0.8307 | 0.8106 | 0.6815 | 0.9664 | 0.9049 | 0.9515 |
113
+ | 0.047 | 3.06 | 530 | 0.1913 | 0.8137 | 0.8013 | 0.8075 | 0.6771 | 0.9669 | 0.8920 | 0.9522 |
114
+ | 0.0327 | 3.12 | 540 | 0.1969 | 0.7993 | 0.8168 | 0.8080 | 0.6778 | 0.9664 | 0.8987 | 0.9518 |
115
+ | 0.0338 | 3.18 | 550 | 0.1989 | 0.7962 | 0.8173 | 0.8066 | 0.6759 | 0.9660 | 0.8987 | 0.9518 |
116
+ | 0.0332 | 3.24 | 560 | 0.2004 | 0.7999 | 0.8178 | 0.8087 | 0.6789 | 0.9665 | 0.8992 | 0.9518 |
117
+ | 0.0308 | 3.29 | 570 | 0.1964 | 0.8126 | 0.8092 | 0.8109 | 0.6819 | 0.9673 | 0.8957 | 0.9537 |
118
+ | 0.0348 | 3.35 | 580 | 0.2032 | 0.7902 | 0.8239 | 0.8067 | 0.6761 | 0.9658 | 0.9016 | 0.9515 |
119
+ | 0.0351 | 3.41 | 590 | 0.2064 | 0.7855 | 0.8218 | 0.8032 | 0.6712 | 0.9651 | 0.9003 | 0.9511 |
120
+ | 0.0301 | 3.47 | 600 | 0.2118 | 0.7872 | 0.8265 | 0.8063 | 0.6755 | 0.9656 | 0.9026 | 0.9505 |
121
+ | 0.0261 | 3.53 | 610 | 0.1997 | 0.7991 | 0.8194 | 0.8091 | 0.6794 | 0.9665 | 0.8999 | 0.9522 |
122
+ | 0.0282 | 3.58 | 620 | 0.1950 | 0.8029 | 0.8114 | 0.8071 | 0.6766 | 0.9664 | 0.8962 | 0.9527 |
123
+ | 0.0326 | 3.64 | 630 | 0.2038 | 0.7873 | 0.8290 | 0.8076 | 0.6773 | 0.9658 | 0.9039 | 0.9516 |
124
+ | 0.0353 | 3.7 | 640 | 0.2010 | 0.7930 | 0.8228 | 0.8076 | 0.6773 | 0.9660 | 0.9012 | 0.9514 |
125
+ | 0.0348 | 3.76 | 650 | 0.2043 | 0.7949 | 0.8243 | 0.8093 | 0.6797 | 0.9663 | 0.9021 | 0.9519 |
126
+ | 0.0296 | 3.82 | 660 | 0.2050 | 0.7976 | 0.8226 | 0.8099 | 0.6805 | 0.9665 | 0.9014 | 0.9529 |
127
+ | 0.0287 | 3.87 | 670 | 0.2158 | 0.7820 | 0.8318 | 0.8061 | 0.6752 | 0.9653 | 0.9049 | 0.9504 |
128
+ | 0.024 | 3.93 | 680 | 0.2110 | 0.7847 | 0.8294 | 0.8065 | 0.6757 | 0.9655 | 0.9039 | 0.9512 |
129
+ | 0.0274 | 3.99 | 690 | 0.2075 | 0.7937 | 0.8254 | 0.8092 | 0.6796 | 0.9663 | 0.9025 | 0.9523 |
130
+ | 0.0247 | 4.05 | 700 | 0.2130 | 0.7995 | 0.8210 | 0.8101 | 0.6808 | 0.9666 | 0.9007 | 0.9525 |
131
+ | 0.0202 | 4.1 | 710 | 0.2142 | 0.7955 | 0.8215 | 0.8083 | 0.6782 | 0.9662 | 0.9007 | 0.9518 |
132
+ | 0.0245 | 4.16 | 720 | 0.2120 | 0.7965 | 0.8195 | 0.8078 | 0.6776 | 0.9662 | 0.8998 | 0.9516 |
133
+ | 0.0214 | 4.22 | 730 | 0.2151 | 0.7899 | 0.8256 | 0.8074 | 0.6770 | 0.9659 | 0.9024 | 0.9515 |
134
+ | 0.0202 | 4.28 | 740 | 0.2145 | 0.7963 | 0.8220 | 0.8089 | 0.6792 | 0.9664 | 0.9010 | 0.9520 |
135
+ | 0.0257 | 4.34 | 750 | 0.2181 | 0.7960 | 0.8217 | 0.8087 | 0.6788 | 0.9663 | 0.9009 | 0.9520 |
136
+ | 0.0271 | 4.39 | 760 | 0.2151 | 0.7953 | 0.8232 | 0.8090 | 0.6793 | 0.9663 | 0.9015 | 0.9518 |
137
+ | 0.0279 | 4.45 | 770 | 0.2196 | 0.7955 | 0.8237 | 0.8094 | 0.6798 | 0.9664 | 0.9018 | 0.9521 |
138
+ | 0.0273 | 4.51 | 780 | 0.2194 | 0.7984 | 0.8256 | 0.8118 | 0.6832 | 0.9668 | 0.9029 | 0.9523 |
139
+ | 0.018 | 4.57 | 790 | 0.2201 | 0.7985 | 0.8247 | 0.8114 | 0.6826 | 0.9668 | 0.9025 | 0.9526 |
140
+ | 0.0275 | 4.62 | 800 | 0.2204 | 0.7893 | 0.8358 | 0.8119 | 0.6834 | 0.9664 | 0.9073 | 0.9519 |
141
+ | 0.0198 | 4.68 | 810 | 0.2160 | 0.7983 | 0.8232 | 0.8105 | 0.6814 | 0.9666 | 0.9017 | 0.9526 |
142
+ | 0.019 | 4.74 | 820 | 0.2109 | 0.7961 | 0.8243 | 0.8100 | 0.6806 | 0.9665 | 0.9021 | 0.9527 |
143
+ | 0.0236 | 4.8 | 830 | 0.2208 | 0.7956 | 0.8238 | 0.8094 | 0.6799 | 0.9664 | 0.9019 | 0.9521 |
144
+ | 0.0177 | 4.86 | 840 | 0.2217 | 0.7900 | 0.8301 | 0.8095 | 0.6800 | 0.9661 | 0.9046 | 0.9519 |
145
+ | 0.0209 | 4.91 | 850 | 0.2226 | 0.7927 | 0.8285 | 0.8102 | 0.6810 | 0.9664 | 0.9040 | 0.9522 |
146
+ | 0.0241 | 4.97 | 860 | 0.2215 | 0.7915 | 0.8276 | 0.8091 | 0.6794 | 0.9662 | 0.9035 | 0.9521 |
147
+ | 0.0211 | 5.03 | 870 | 0.2181 | 0.7957 | 0.8242 | 0.8097 | 0.6802 | 0.9664 | 0.9020 | 0.9525 |
148
+ | 0.0234 | 5.09 | 880 | 0.2171 | 0.7975 | 0.8224 | 0.8098 | 0.6803 | 0.9665 | 0.9013 | 0.9526 |
149
+ | 0.0201 | 5.14 | 890 | 0.2191 | 0.7925 | 0.8265 | 0.8092 | 0.6795 | 0.9662 | 0.9030 | 0.9523 |
150
+ | 0.0211 | 5.2 | 900 | 0.2175 | 0.7957 | 0.8238 | 0.8095 | 0.6799 | 0.9664 | 0.9019 | 0.9526 |
151
+ | 0.0234 | 5.26 | 910 | 0.2207 | 0.7913 | 0.8291 | 0.8097 | 0.6803 | 0.9662 | 0.9042 | 0.9522 |
152
+ | 0.023 | 5.32 | 920 | 0.2202 | 0.7965 | 0.8234 | 0.8098 | 0.6803 | 0.9665 | 0.9017 | 0.9524 |
153
+ | 0.0192 | 5.38 | 930 | 0.2203 | 0.7969 | 0.8239 | 0.8102 | 0.6809 | 0.9665 | 0.9020 | 0.9525 |
154
+ | 0.0217 | 5.43 | 940 | 0.2206 | 0.7956 | 0.8255 | 0.8103 | 0.6811 | 0.9665 | 0.9027 | 0.9524 |
155
+ | 0.0195 | 5.49 | 950 | 0.2213 | 0.7953 | 0.8259 | 0.8103 | 0.6811 | 0.9665 | 0.9029 | 0.9524 |
156
+ | 0.0285 | 5.55 | 960 | 0.2214 | 0.7955 | 0.8254 | 0.8102 | 0.6809 | 0.9665 | 0.9026 | 0.9524 |
157
+ | 0.0263 | 5.61 | 970 | 0.2213 | 0.7955 | 0.8254 | 0.8102 | 0.6809 | 0.9665 | 0.9026 | 0.9524 |
158
+ | 0.02 | 5.66 | 980 | 0.2214 | 0.7951 | 0.8258 | 0.8101 | 0.6809 | 0.9665 | 0.9028 | 0.9524 |
159
+ | 0.021 | 5.72 | 990 | 0.2214 | 0.7952 | 0.8261 | 0.8104 | 0.6812 | 0.9665 | 0.9030 | 0.9525 |
160
+ | 0.0233 | 5.78 | 1000 | 0.2214 | 0.7952 | 0.8261 | 0.8104 | 0.6812 | 0.9665 | 0.9030 | 0.9525 |
161
 
162
 
163
  ### Framework versions
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