Hugging Face's logo

brandonRivas
/
xml-roberta-large-ner-qlorafinetune-runs-colab-32size

PEFT
TensorBoard
Safetensors
Generated from Trainer
Model card Files Metrics Community
brandonRivas commited on
Commit
8b21e0f
·
verified ·
1 Parent(s): ae286ae

End of training

Browse files
Files changed (1) hide show
  1. README.md +111 -111
README.md CHANGED
@@ -23,10 +23,10 @@ should probably proofread and complete it, then remove this comment. -->
23
 
24
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the biobert_json dataset.
25
  It achieves the following results on the evaluation set:
26
- - Loss: 0.0790
27
- - Precision: 0.9386
28
- - Recall: 0.9575
29
- - F1: 0.9480
30
  - Accuracy: 0.9810
31
 
32
  ## Model description
@@ -59,113 +59,113 @@ The following hyperparameters were used during training:
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
61
  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
62
- | 2.0918 | 0.0654 | 20 | 1.1979 | 0.0 | 0.0 | 0.0 | 0.7179 |
63
- | 1.0354 | 0.1307 | 40 | 0.6038 | 0.5631 | 0.5923 | 0.5773 | 0.8485 |
64
- | 0.5363 | 0.1961 | 60 | 0.2835 | 0.7619 | 0.7570 | 0.7594 | 0.9166 |
65
- | 0.3383 | 0.2614 | 80 | 0.2335 | 0.7596 | 0.8463 | 0.8006 | 0.9319 |
66
- | 0.2349 | 0.3268 | 100 | 0.1787 | 0.8225 | 0.9027 | 0.8607 | 0.9479 |
67
- | 0.2402 | 0.3922 | 120 | 0.1477 | 0.8564 | 0.9068 | 0.8809 | 0.9543 |
68
- | 0.1758 | 0.4575 | 140 | 0.1216 | 0.8862 | 0.9130 | 0.8994 | 0.9635 |
69
- | 0.1603 | 0.5229 | 160 | 0.1070 | 0.8927 | 0.9420 | 0.9167 | 0.9687 |
70
- | 0.1603 | 0.5882 | 180 | 0.1118 | 0.8830 | 0.9448 | 0.9129 | 0.9675 |
71
- | 0.1273 | 0.6536 | 200 | 0.0943 | 0.9089 | 0.9405 | 0.9244 | 0.9719 |
72
- | 0.1253 | 0.7190 | 220 | 0.0862 | 0.9236 | 0.9186 | 0.9211 | 0.9723 |
73
- | 0.1314 | 0.7843 | 240 | 0.1170 | 0.8833 | 0.9558 | 0.9181 | 0.9670 |
74
- | 0.1193 | 0.8497 | 260 | 0.0877 | 0.9189 | 0.9411 | 0.9299 | 0.9742 |
75
- | 0.1294 | 0.9150 | 280 | 0.1056 | 0.8991 | 0.9483 | 0.9231 | 0.9705 |
76
- | 0.127 | 0.9804 | 300 | 0.0930 | 0.9138 | 0.9420 | 0.9277 | 0.9725 |
77
- | 0.1122 | 1.0458 | 320 | 0.0932 | 0.9038 | 0.9379 | 0.9205 | 0.9714 |
78
- | 0.0964 | 1.1111 | 340 | 0.1047 | 0.8963 | 0.9572 | 0.9257 | 0.9683 |
79
- | 0.1014 | 1.1765 | 360 | 0.0789 | 0.9240 | 0.9499 | 0.9367 | 0.9769 |
80
- | 0.0982 | 1.2418 | 380 | 0.0826 | 0.9234 | 0.9510 | 0.9370 | 0.9773 |
81
- | 0.0982 | 1.3072 | 400 | 0.0773 | 0.9254 | 0.9518 | 0.9384 | 0.9773 |
82
- | 0.1038 | 1.3725 | 420 | 0.0918 | 0.9020 | 0.9278 | 0.9147 | 0.9712 |
83
- | 0.0962 | 1.4379 | 440 | 0.0820 | 0.9245 | 0.9491 | 0.9366 | 0.9768 |
84
- | 0.091 | 1.5033 | 460 | 0.0695 | 0.9333 | 0.9532 | 0.9432 | 0.9799 |
85
- | 0.0936 | 1.5686 | 480 | 0.0821 | 0.9196 | 0.9542 | 0.9366 | 0.9764 |
86
- | 0.0875 | 1.6340 | 500 | 0.0801 | 0.9260 | 0.9519 | 0.9387 | 0.9778 |
87
- | 0.0748 | 1.6993 | 520 | 0.0899 | 0.9117 | 0.9554 | 0.9330 | 0.9749 |
88
- | 0.0792 | 1.7647 | 540 | 0.0857 | 0.8990 | 0.9348 | 0.9166 | 0.9733 |
89
- | 0.0909 | 1.8301 | 560 | 0.0859 | 0.9158 | 0.9582 | 0.9365 | 0.9757 |
90
- | 0.0893 | 1.8954 | 580 | 0.0885 | 0.9100 | 0.9598 | 0.9342 | 0.9749 |
91
- | 0.0895 | 1.9608 | 600 | 0.0750 | 0.9244 | 0.9515 | 0.9378 | 0.9781 |
92
- | 0.0757 | 2.0261 | 620 | 0.0821 | 0.9183 | 0.9570 | 0.9373 | 0.9763 |
93
- | 0.0668 | 2.0915 | 640 | 0.0746 | 0.9219 | 0.9624 | 0.9417 | 0.9795 |
94
- | 0.059 | 2.1569 | 660 | 0.0762 | 0.9219 | 0.9528 | 0.9371 | 0.9779 |
95
- | 0.0797 | 2.2222 | 680 | 0.0781 | 0.9233 | 0.9604 | 0.9415 | 0.9779 |
96
- | 0.0753 | 2.2876 | 700 | 0.0852 | 0.9203 | 0.9589 | 0.9392 | 0.9768 |
97
- | 0.0606 | 2.3529 | 720 | 0.0755 | 0.9224 | 0.9493 | 0.9356 | 0.9778 |
98
- | 0.0687 | 2.4183 | 740 | 0.0863 | 0.9176 | 0.9476 | 0.9323 | 0.9743 |
99
- | 0.0876 | 2.4837 | 760 | 0.0782 | 0.9327 | 0.9599 | 0.9461 | 0.9795 |
100
- | 0.0669 | 2.5490 | 780 | 0.0757 | 0.9348 | 0.9582 | 0.9464 | 0.9806 |
101
- | 0.0768 | 2.6144 | 800 | 0.0716 | 0.9344 | 0.9585 | 0.9463 | 0.9802 |
102
- | 0.0641 | 2.6797 | 820 | 0.0751 | 0.9364 | 0.9501 | 0.9432 | 0.9790 |
103
- | 0.0716 | 2.7451 | 840 | 0.0778 | 0.9260 | 0.9489 | 0.9373 | 0.9775 |
104
- | 0.0634 | 2.8105 | 860 | 0.0722 | 0.9314 | 0.9586 | 0.9448 | 0.9806 |
105
- | 0.0701 | 2.8758 | 880 | 0.0768 | 0.9340 | 0.9593 | 0.9465 | 0.9802 |
106
- | 0.0623 | 2.9412 | 900 | 0.0759 | 0.9265 | 0.9597 | 0.9428 | 0.9795 |
107
- | 0.0601 | 3.0065 | 920 | 0.0759 | 0.9282 | 0.9604 | 0.9440 | 0.9796 |
108
- | 0.0484 | 3.0719 | 940 | 0.0732 | 0.9286 | 0.9604 | 0.9442 | 0.9802 |
109
- | 0.053 | 3.1373 | 960 | 0.0799 | 0.9293 | 0.9572 | 0.9430 | 0.9788 |
110
- | 0.0487 | 3.2026 | 980 | 0.0768 | 0.9299 | 0.9533 | 0.9415 | 0.9790 |
111
- | 0.0567 | 3.2680 | 1000 | 0.0813 | 0.9228 | 0.9487 | 0.9356 | 0.9768 |
112
- | 0.056 | 3.3333 | 1020 | 0.0790 | 0.9291 | 0.9531 | 0.9409 | 0.9784 |
113
- | 0.0541 | 3.3987 | 1040 | 0.0817 | 0.9228 | 0.9660 | 0.9439 | 0.9797 |
114
- | 0.0607 | 3.4641 | 1060 | 0.0862 | 0.9159 | 0.9521 | 0.9337 | 0.9751 |
115
- | 0.0526 | 3.5294 | 1080 | 0.0801 | 0.9176 | 0.9481 | 0.9326 | 0.9775 |
116
- | 0.0526 | 3.5948 | 1100 | 0.0787 | 0.9308 | 0.9576 | 0.9440 | 0.9785 |
117
- | 0.0436 | 3.6601 | 1120 | 0.0759 | 0.9256 | 0.9526 | 0.9389 | 0.9792 |
118
- | 0.0786 | 3.7255 | 1140 | 0.0672 | 0.9371 | 0.9642 | 0.9504 | 0.9821 |
119
- | 0.0529 | 3.7908 | 1160 | 0.0698 | 0.9403 | 0.9609 | 0.9505 | 0.9824 |
120
- | 0.0695 | 3.8562 | 1180 | 0.0824 | 0.9240 | 0.9593 | 0.9413 | 0.9768 |
121
- | 0.0615 | 3.9216 | 1200 | 0.0787 | 0.9287 | 0.9575 | 0.9429 | 0.9788 |
122
- | 0.0645 | 3.9869 | 1220 | 0.0723 | 0.9385 | 0.9607 | 0.9495 | 0.9817 |
123
- | 0.0444 | 4.0523 | 1240 | 0.0766 | 0.9318 | 0.9589 | 0.9452 | 0.9801 |
124
- | 0.0403 | 4.1176 | 1260 | 0.0736 | 0.9333 | 0.9557 | 0.9444 | 0.9808 |
125
- | 0.0407 | 4.1830 | 1280 | 0.0749 | 0.9320 | 0.9604 | 0.9460 | 0.9810 |
126
- | 0.0464 | 4.2484 | 1300 | 0.0742 | 0.9367 | 0.9604 | 0.9484 | 0.9812 |
127
- | 0.0419 | 4.3137 | 1320 | 0.0734 | 0.9374 | 0.9485 | 0.9429 | 0.9806 |
128
- | 0.0512 | 4.3791 | 1340 | 0.0736 | 0.9378 | 0.9567 | 0.9472 | 0.9807 |
129
- | 0.04 | 4.4444 | 1360 | 0.0765 | 0.9264 | 0.9540 | 0.9400 | 0.9793 |
130
- | 0.0338 | 4.5098 | 1380 | 0.0800 | 0.9254 | 0.9581 | 0.9415 | 0.9797 |
131
- | 0.0456 | 4.5752 | 1400 | 0.0779 | 0.9315 | 0.9515 | 0.9414 | 0.9796 |
132
- | 0.044 | 4.6405 | 1420 | 0.0802 | 0.9296 | 0.9613 | 0.9452 | 0.9796 |
133
- | 0.0378 | 4.7059 | 1440 | 0.0788 | 0.9343 | 0.9551 | 0.9446 | 0.9798 |
134
- | 0.0459 | 4.7712 | 1460 | 0.0853 | 0.9230 | 0.9563 | 0.9393 | 0.9780 |
135
- | 0.0419 | 4.8366 | 1480 | 0.0757 | 0.9418 | 0.9579 | 0.9497 | 0.9810 |
136
- | 0.0454 | 4.9020 | 1500 | 0.0770 | 0.9339 | 0.9594 | 0.9465 | 0.9804 |
137
- | 0.0508 | 4.9673 | 1520 | 0.0792 | 0.9339 | 0.9556 | 0.9446 | 0.9799 |
138
- | 0.037 | 5.0327 | 1540 | 0.0803 | 0.9312 | 0.9581 | 0.9445 | 0.9796 |
139
- | 0.0354 | 5.0980 | 1560 | 0.0736 | 0.9405 | 0.9573 | 0.9488 | 0.9815 |
140
- | 0.0422 | 5.1634 | 1580 | 0.0754 | 0.9368 | 0.9598 | 0.9482 | 0.9813 |
141
- | 0.0329 | 5.2288 | 1600 | 0.0811 | 0.9262 | 0.9552 | 0.9405 | 0.9790 |
142
- | 0.0325 | 5.2941 | 1620 | 0.0760 | 0.9389 | 0.9563 | 0.9475 | 0.9813 |
143
- | 0.0318 | 5.3595 | 1640 | 0.0780 | 0.9364 | 0.9588 | 0.9475 | 0.9810 |
144
- | 0.0326 | 5.4248 | 1660 | 0.0749 | 0.9398 | 0.9551 | 0.9474 | 0.9811 |
145
- | 0.0437 | 5.4902 | 1680 | 0.0801 | 0.9314 | 0.9546 | 0.9429 | 0.9798 |
146
- | 0.0363 | 5.5556 | 1700 | 0.0757 | 0.9417 | 0.9567 | 0.9491 | 0.9811 |
147
- | 0.0352 | 5.6209 | 1720 | 0.0817 | 0.9269 | 0.9521 | 0.9394 | 0.9786 |
148
- | 0.0359 | 5.6863 | 1740 | 0.0758 | 0.9398 | 0.9548 | 0.9472 | 0.9808 |
149
- | 0.0351 | 5.7516 | 1760 | 0.0814 | 0.9249 | 0.9503 | 0.9374 | 0.9789 |
150
- | 0.0293 | 5.8170 | 1780 | 0.0758 | 0.9399 | 0.9622 | 0.9509 | 0.9819 |
151
- | 0.0377 | 5.8824 | 1800 | 0.0767 | 0.9338 | 0.9563 | 0.9449 | 0.9800 |
152
- | 0.0332 | 5.9477 | 1820 | 0.0733 | 0.9441 | 0.9577 | 0.9509 | 0.9820 |
153
- | 0.0349 | 6.0131 | 1840 | 0.0815 | 0.9321 | 0.9588 | 0.9453 | 0.9799 |
154
- | 0.0325 | 6.0784 | 1860 | 0.0773 | 0.9377 | 0.9562 | 0.9468 | 0.9808 |
155
- | 0.0269 | 6.1438 | 1880 | 0.0785 | 0.9289 | 0.9521 | 0.9404 | 0.9794 |
156
- | 0.0236 | 6.2092 | 1900 | 0.0804 | 0.9307 | 0.9534 | 0.9419 | 0.9795 |
157
- | 0.0327 | 6.2745 | 1920 | 0.0783 | 0.9379 | 0.9599 | 0.9488 | 0.9812 |
158
- | 0.0272 | 6.3399 | 1940 | 0.0786 | 0.9355 | 0.9581 | 0.9467 | 0.9810 |
159
- | 0.027 | 6.4052 | 1960 | 0.0781 | 0.9370 | 0.9574 | 0.9471 | 0.9810 |
160
- | 0.025 | 6.4706 | 1980 | 0.0790 | 0.9354 | 0.9569 | 0.9460 | 0.9807 |
161
- | 0.0272 | 6.5359 | 2000 | 0.0792 | 0.9364 | 0.9585 | 0.9473 | 0.9809 |
162
- | 0.0304 | 6.6013 | 2020 | 0.0781 | 0.9379 | 0.9558 | 0.9468 | 0.9810 |
163
- | 0.027 | 6.6667 | 2040 | 0.0789 | 0.9366 | 0.9550 | 0.9457 | 0.9807 |
164
- | 0.0273 | 6.7320 | 2060 | 0.0793 | 0.9366 | 0.9560 | 0.9462 | 0.9807 |
165
- | 0.0357 | 6.7974 | 2080 | 0.0781 | 0.9395 | 0.9576 | 0.9485 | 0.9812 |
166
- | 0.0238 | 6.8627 | 2100 | 0.0786 | 0.9386 | 0.9570 | 0.9477 | 0.9809 |
167
- | 0.0252 | 6.9281 | 2120 | 0.0791 | 0.9386 | 0.9568 | 0.9476 | 0.9809 |
168
- | 0.0263 | 6.9935 | 2140 | 0.0790 | 0.9386 | 0.9575 | 0.9480 | 0.9810 |
169
 
170
 
171
  ### Framework versions
 
23
 
24
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the biobert_json dataset.
25
  It achieves the following results on the evaluation set:
26
+ - Loss: 0.0818
27
+ - Precision: 0.9372
28
+ - Recall: 0.9585
29
+ - F1: 0.9477
30
  - Accuracy: 0.9810
31
 
32
  ## Model description
 
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
61
  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
62
+ | 2.0776 | 0.0654 | 20 | 1.3595 | 0.0 | 0.0 | 0.0 | 0.7180 |
63
+ | 1.4405 | 0.1307 | 40 | 1.3697 | 0.0 | 0.0 | 0.0 | 0.7180 |
64
+ | 1.4064 | 0.1961 | 60 | 1.3472 | 0.0 | 0.0 | 0.0 | 0.7180 |
65
+ | 1.3812 | 0.2614 | 80 | 1.2757 | 0.0 | 0.0 | 0.0 | 0.7180 |
66
+ | 1.1716 | 0.3268 | 100 | 0.6756 | 0.5890 | 0.4444 | 0.5066 | 0.8274 |
67
+ | 0.7189 | 0.3922 | 120 | 0.3631 | 0.7186 | 0.7394 | 0.7289 | 0.8974 |
68
+ | 0.4042 | 0.4575 | 140 | 0.2416 | 0.7440 | 0.8402 | 0.7892 | 0.9282 |
69
+ | 0.26 | 0.5229 | 160 | 0.1593 | 0.8510 | 0.8888 | 0.8695 | 0.9534 |
70
+ | 0.2169 | 0.5882 | 180 | 0.1403 | 0.8604 | 0.9057 | 0.8824 | 0.9569 |
71
+ | 0.1684 | 0.6536 | 200 | 0.1218 | 0.8735 | 0.9102 | 0.8915 | 0.9623 |
72
+ | 0.1719 | 0.7190 | 220 | 0.1043 | 0.8879 | 0.9337 | 0.9102 | 0.9688 |
73
+ | 0.1641 | 0.7843 | 240 | 0.1217 | 0.8751 | 0.9479 | 0.9101 | 0.9643 |
74
+ | 0.1358 | 0.8497 | 260 | 0.1017 | 0.9015 | 0.9369 | 0.9189 | 0.9710 |
75
+ | 0.1485 | 0.9150 | 280 | 0.1224 | 0.8774 | 0.9504 | 0.9124 | 0.9653 |
76
+ | 0.1477 | 0.9804 | 300 | 0.0945 | 0.9156 | 0.9391 | 0.9272 | 0.9730 |
77
+ | 0.1227 | 1.0458 | 320 | 0.0975 | 0.8964 | 0.9442 | 0.9197 | 0.9717 |
78
+ | 0.1076 | 1.1111 | 340 | 0.0860 | 0.9186 | 0.9470 | 0.9326 | 0.9748 |
79
+ | 0.1068 | 1.1765 | 360 | 0.0972 | 0.9042 | 0.9483 | 0.9257 | 0.9721 |
80
+ | 0.1089 | 1.2418 | 380 | 0.0927 | 0.9225 | 0.9283 | 0.9254 | 0.9729 |
81
+ | 0.1135 | 1.3072 | 400 | 0.0822 | 0.9263 | 0.9464 | 0.9362 | 0.9768 |
82
+ | 0.1121 | 1.3725 | 420 | 0.1034 | 0.8846 | 0.9224 | 0.9031 | 0.9678 |
83
+ | 0.1019 | 1.4379 | 440 | 0.0850 | 0.9233 | 0.9451 | 0.9341 | 0.9768 |
84
+ | 0.0908 | 1.5033 | 460 | 0.0733 | 0.9293 | 0.9525 | 0.9408 | 0.9783 |
85
+ | 0.1003 | 1.5686 | 480 | 0.0908 | 0.9119 | 0.9516 | 0.9314 | 0.9730 |
86
+ | 0.0922 | 1.6340 | 500 | 0.0872 | 0.9153 | 0.9543 | 0.9344 | 0.9758 |
87
+ | 0.0815 | 1.6993 | 520 | 0.0851 | 0.9183 | 0.9623 | 0.9398 | 0.9775 |
88
+ | 0.0931 | 1.7647 | 540 | 0.0837 | 0.9229 | 0.9455 | 0.9341 | 0.9775 |
89
+ | 0.0922 | 1.8301 | 560 | 0.0853 | 0.9149 | 0.9606 | 0.9372 | 0.9767 |
90
+ | 0.0953 | 1.8954 | 580 | 0.0899 | 0.9132 | 0.9612 | 0.9366 | 0.9753 |
91
+ | 0.0892 | 1.9608 | 600 | 0.0809 | 0.9230 | 0.9544 | 0.9384 | 0.9776 |
92
+ | 0.0772 | 2.0261 | 620 | 0.0822 | 0.9244 | 0.9580 | 0.9409 | 0.9775 |
93
+ | 0.0744 | 2.0915 | 640 | 0.0810 | 0.9225 | 0.9585 | 0.9401 | 0.9776 |
94
+ | 0.0558 | 2.1569 | 660 | 0.0758 | 0.9281 | 0.9581 | 0.9429 | 0.9795 |
95
+ | 0.0759 | 2.2222 | 680 | 0.0794 | 0.9244 | 0.9566 | 0.9402 | 0.9778 |
96
+ | 0.0778 | 2.2876 | 700 | 0.0914 | 0.9115 | 0.9527 | 0.9316 | 0.9752 |
97
+ | 0.0672 | 2.3529 | 720 | 0.0819 | 0.9285 | 0.9497 | 0.9390 | 0.9790 |
98
+ | 0.0708 | 2.4183 | 740 | 0.0823 | 0.9233 | 0.9537 | 0.9382 | 0.9760 |
99
+ | 0.0906 | 2.4837 | 760 | 0.0732 | 0.9317 | 0.9577 | 0.9445 | 0.9803 |
100
+ | 0.066 | 2.5490 | 780 | 0.0767 | 0.9319 | 0.9568 | 0.9442 | 0.9799 |
101
+ | 0.074 | 2.6144 | 800 | 0.0730 | 0.9359 | 0.9524 | 0.9441 | 0.9797 |
102
+ | 0.0636 | 2.6797 | 820 | 0.0720 | 0.9406 | 0.9536 | 0.9470 | 0.9808 |
103
+ | 0.0687 | 2.7451 | 840 | 0.0758 | 0.9294 | 0.9531 | 0.9411 | 0.9793 |
104
+ | 0.0611 | 2.8105 | 860 | 0.0777 | 0.9327 | 0.9607 | 0.9465 | 0.9803 |
105
+ | 0.0766 | 2.8758 | 880 | 0.0759 | 0.9239 | 0.9564 | 0.9399 | 0.9784 |
106
+ | 0.0625 | 2.9412 | 900 | 0.0814 | 0.9157 | 0.9593 | 0.9370 | 0.9775 |
107
+ | 0.0619 | 3.0065 | 920 | 0.0757 | 0.9332 | 0.9586 | 0.9457 | 0.9803 |
108
+ | 0.0482 | 3.0719 | 940 | 0.0733 | 0.9310 | 0.9593 | 0.9449 | 0.9812 |
109
+ | 0.0531 | 3.1373 | 960 | 0.0862 | 0.9258 | 0.9618 | 0.9435 | 0.9780 |
110
+ | 0.0507 | 3.2026 | 980 | 0.0733 | 0.9326 | 0.9561 | 0.9442 | 0.9803 |
111
+ | 0.0597 | 3.2680 | 1000 | 0.0758 | 0.9313 | 0.9562 | 0.9436 | 0.9793 |
112
+ | 0.0527 | 3.3333 | 1020 | 0.0765 | 0.9256 | 0.9533 | 0.9393 | 0.9790 |
113
+ | 0.0561 | 3.3987 | 1040 | 0.0854 | 0.9169 | 0.9643 | 0.9400 | 0.9775 |
114
+ | 0.0584 | 3.4641 | 1060 | 0.0802 | 0.9251 | 0.9612 | 0.9428 | 0.9792 |
115
+ | 0.053 | 3.5294 | 1080 | 0.0770 | 0.9259 | 0.9494 | 0.9375 | 0.9790 |
116
+ | 0.0483 | 3.5948 | 1100 | 0.0792 | 0.9306 | 0.9591 | 0.9446 | 0.9791 |
117
+ | 0.041 | 3.6601 | 1120 | 0.0763 | 0.9343 | 0.9509 | 0.9425 | 0.9802 |
118
+ | 0.0687 | 3.7255 | 1140 | 0.0719 | 0.9410 | 0.9627 | 0.9517 | 0.9819 |
119
+ | 0.051 | 3.7908 | 1160 | 0.0715 | 0.9385 | 0.9601 | 0.9492 | 0.9819 |
120
+ | 0.0666 | 3.8562 | 1180 | 0.0807 | 0.9251 | 0.9577 | 0.9411 | 0.9782 |
121
+ | 0.06 | 3.9216 | 1200 | 0.0838 | 0.9256 | 0.9551 | 0.9402 | 0.9778 |
122
+ | 0.0635 | 3.9869 | 1220 | 0.0751 | 0.9291 | 0.9610 | 0.9448 | 0.9804 |
123
+ | 0.0429 | 4.0523 | 1240 | 0.0755 | 0.9380 | 0.9593 | 0.9485 | 0.9816 |
124
+ | 0.0379 | 4.1176 | 1260 | 0.0750 | 0.9300 | 0.9589 | 0.9443 | 0.9808 |
125
+ | 0.0376 | 4.1830 | 1280 | 0.0735 | 0.9366 | 0.9603 | 0.9483 | 0.9818 |
126
+ | 0.0454 | 4.2484 | 1300 | 0.0737 | 0.9398 | 0.9549 | 0.9473 | 0.9808 |
127
+ | 0.0413 | 4.3137 | 1320 | 0.0729 | 0.9416 | 0.9506 | 0.9460 | 0.9807 |
128
+ | 0.0458 | 4.3791 | 1340 | 0.0713 | 0.9423 | 0.9585 | 0.9503 | 0.9822 |
129
+ | 0.0367 | 4.4444 | 1360 | 0.0759 | 0.9325 | 0.9603 | 0.9462 | 0.9812 |
130
+ | 0.0305 | 4.5098 | 1380 | 0.0814 | 0.9281 | 0.9611 | 0.9443 | 0.9802 |
131
+ | 0.0437 | 4.5752 | 1400 | 0.0842 | 0.9280 | 0.9512 | 0.9394 | 0.9790 |
132
+ | 0.0469 | 4.6405 | 1420 | 0.0799 | 0.9295 | 0.9592 | 0.9441 | 0.9795 |
133
+ | 0.04 | 4.7059 | 1440 | 0.0777 | 0.9359 | 0.9600 | 0.9478 | 0.9807 |
134
+ | 0.0462 | 4.7712 | 1460 | 0.0812 | 0.9312 | 0.9595 | 0.9452 | 0.9803 |
135
+ | 0.042 | 4.8366 | 1480 | 0.0764 | 0.9409 | 0.9542 | 0.9475 | 0.9810 |
136
+ | 0.0446 | 4.9020 | 1500 | 0.0767 | 0.9372 | 0.9625 | 0.9497 | 0.9812 |
137
+ | 0.0515 | 4.9673 | 1520 | 0.0793 | 0.9323 | 0.9552 | 0.9436 | 0.9800 |
138
+ | 0.0368 | 5.0327 | 1540 | 0.0802 | 0.9338 | 0.9601 | 0.9468 | 0.9806 |
139
+ | 0.0349 | 5.0980 | 1560 | 0.0781 | 0.9412 | 0.9599 | 0.9505 | 0.9816 |
140
+ | 0.0405 | 5.1634 | 1580 | 0.0773 | 0.9403 | 0.9616 | 0.9508 | 0.9822 |
141
+ | 0.0381 | 5.2288 | 1600 | 0.0835 | 0.9291 | 0.9577 | 0.9432 | 0.9795 |
142
+ | 0.0307 | 5.2941 | 1620 | 0.0772 | 0.9399 | 0.9579 | 0.9488 | 0.9815 |
143
+ | 0.0295 | 5.3595 | 1640 | 0.0787 | 0.9399 | 0.9595 | 0.9496 | 0.9815 |
144
+ | 0.0313 | 5.4248 | 1660 | 0.0787 | 0.9432 | 0.9560 | 0.9495 | 0.9821 |
145
+ | 0.0411 | 5.4902 | 1680 | 0.0848 | 0.9274 | 0.9512 | 0.9391 | 0.9790 |
146
+ | 0.0397 | 5.5556 | 1700 | 0.0784 | 0.9392 | 0.9604 | 0.9497 | 0.9813 |
147
+ | 0.0346 | 5.6209 | 1720 | 0.0780 | 0.9373 | 0.9570 | 0.9471 | 0.9811 |
148
+ | 0.0343 | 5.6863 | 1740 | 0.0746 | 0.9416 | 0.9554 | 0.9484 | 0.9815 |
149
+ | 0.0327 | 5.7516 | 1760 | 0.0842 | 0.9226 | 0.9512 | 0.9366 | 0.9785 |
150
+ | 0.0307 | 5.8170 | 1780 | 0.0783 | 0.9366 | 0.9594 | 0.9479 | 0.9815 |
151
+ | 0.0399 | 5.8824 | 1800 | 0.0802 | 0.9325 | 0.9577 | 0.9450 | 0.9802 |
152
+ | 0.0317 | 5.9477 | 1820 | 0.0767 | 0.9397 | 0.9603 | 0.9499 | 0.9818 |
153
+ | 0.033 | 6.0131 | 1840 | 0.0802 | 0.9336 | 0.9573 | 0.9453 | 0.9805 |
154
+ | 0.0289 | 6.0784 | 1860 | 0.0791 | 0.9370 | 0.9560 | 0.9464 | 0.9810 |
155
+ | 0.0275 | 6.1438 | 1880 | 0.0799 | 0.9316 | 0.9543 | 0.9428 | 0.9802 |
156
+ | 0.0222 | 6.2092 | 1900 | 0.0830 | 0.9296 | 0.9552 | 0.9423 | 0.9799 |
157
+ | 0.0329 | 6.2745 | 1920 | 0.0796 | 0.9382 | 0.9587 | 0.9483 | 0.9815 |
158
+ | 0.0281 | 6.3399 | 1940 | 0.0808 | 0.9349 | 0.9580 | 0.9463 | 0.9810 |
159
+ | 0.0281 | 6.4052 | 1960 | 0.0794 | 0.9370 | 0.9579 | 0.9473 | 0.9814 |
160
+ | 0.0231 | 6.4706 | 1980 | 0.0814 | 0.9332 | 0.9572 | 0.9450 | 0.9808 |
161
+ | 0.0251 | 6.5359 | 2000 | 0.0808 | 0.9360 | 0.9588 | 0.9473 | 0.9813 |
162
+ | 0.0294 | 6.6013 | 2020 | 0.0808 | 0.9368 | 0.9586 | 0.9476 | 0.9812 |
163
+ | 0.023 | 6.6667 | 2040 | 0.0825 | 0.9353 | 0.9581 | 0.9466 | 0.9807 |
164
+ | 0.0271 | 6.7320 | 2060 | 0.0811 | 0.9384 | 0.9597 | 0.9489 | 0.9814 |
165
+ | 0.0353 | 6.7974 | 2080 | 0.0803 | 0.9401 | 0.9601 | 0.9500 | 0.9818 |
166
+ | 0.0243 | 6.8627 | 2100 | 0.0814 | 0.9379 | 0.9581 | 0.9479 | 0.9810 |
167
+ | 0.0264 | 6.9281 | 2120 | 0.0821 | 0.9369 | 0.9583 | 0.9475 | 0.9809 |
168
+ | 0.0241 | 6.9935 | 2140 | 0.0818 | 0.9372 | 0.9585 | 0.9477 | 0.9810 |
169
 
170
 
171
  ### Framework versions