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Jyotiyadav
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model10.0

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  1. README.md +16 -16
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@@ -31,7 +31,7 @@ model-index:
31
  value: 0.7396028475084301
32
  - name: F1
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  type: f1
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- value: 0.7604006163328197
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  - name: Accuracy
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  type: accuracy
37
  value: 0.9480585417540451
@@ -163,22 +163,22 @@ The following hyperparameters were used during training:
163
  | 0.041 | 8.9716 | 8200 | 0.3123 | 0.7788 | 0.7366 | 0.7571 | 0.9480 |
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  | 0.041 | 9.0810 | 8300 | 0.3088 | 0.7754 | 0.7398 | 0.7572 | 0.9476 |
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  | 0.041 | 9.1904 | 8400 | 0.3101 | 0.7804 | 0.7415 | 0.7604 | 0.9491 |
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- | 0.0323 | 9.2998 | 8500 | 0.3152 | 0.7829 | 0.7357 | 0.7585 | 0.9482 |
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- | 0.0323 | 9.4092 | 8600 | 0.3061 | 0.7734 | 0.7398 | 0.7562 | 0.9476 |
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- | 0.0323 | 9.5186 | 8700 | 0.3086 | 0.7636 | 0.7437 | 0.7535 | 0.9476 |
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  | 0.0323 | 9.6280 | 8800 | 0.3162 | 0.7723 | 0.7390 | 0.7553 | 0.9476 |
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- | 0.0323 | 9.7374 | 8900 | 0.3070 | 0.7605 | 0.7419 | 0.7511 | 0.9467 |
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- | 0.0357 | 9.8468 | 9000 | 0.3117 | 0.7824 | 0.7396 | 0.7604 | 0.9481 |
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- | 0.0357 | 9.9562 | 9100 | 0.3130 | 0.7750 | 0.7396 | 0.7569 | 0.9472 |
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- | 0.0357 | 10.0656 | 9200 | 0.3095 | 0.7673 | 0.7405 | 0.7537 | 0.9476 |
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- | 0.0357 | 10.1751 | 9300 | 0.3179 | 0.7868 | 0.7357 | 0.7604 | 0.9477 |
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- | 0.0357 | 10.2845 | 9400 | 0.3077 | 0.7645 | 0.7405 | 0.7523 | 0.9472 |
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- | 0.0359 | 10.3939 | 9500 | 0.3128 | 0.7798 | 0.7366 | 0.7576 | 0.9476 |
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- | 0.0359 | 10.5033 | 9600 | 0.3151 | 0.7784 | 0.7377 | 0.7575 | 0.9475 |
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- | 0.0359 | 10.6127 | 9700 | 0.3138 | 0.7744 | 0.7420 | 0.7579 | 0.9478 |
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- | 0.0359 | 10.7221 | 9800 | 0.3115 | 0.7688 | 0.7415 | 0.7549 | 0.9475 |
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- | 0.0359 | 10.8315 | 9900 | 0.3097 | 0.7673 | 0.7411 | 0.7540 | 0.9472 |
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- | 0.0301 | 10.9409 | 10000 | 0.3095 | 0.7674 | 0.7409 | 0.7539 | 0.9474 |
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  ### Framework versions
 
31
  value: 0.7396028475084301
32
  - name: F1
33
  type: f1
34
+ value: 0.7984006163328197
35
  - name: Accuracy
36
  type: accuracy
37
  value: 0.9480585417540451
 
163
  | 0.041 | 8.9716 | 8200 | 0.3123 | 0.7788 | 0.7366 | 0.7571 | 0.9480 |
164
  | 0.041 | 9.0810 | 8300 | 0.3088 | 0.7754 | 0.7398 | 0.7572 | 0.9476 |
165
  | 0.041 | 9.1904 | 8400 | 0.3101 | 0.7804 | 0.7415 | 0.7604 | 0.9491 |
166
+ | 0.0323 | 9.2998 | 8500 | 0.3152 | 0.7829 | 0.7357 | 0.7785 | 0.9482 |
167
+ | 0.0323 | 9.4092 | 8600 | 0.3061 | 0.7734 | 0.7398 | 0.7762 | 0.9476 |
168
+ | 0.0323 | 9.5186 | 8700 | 0.3086 | 0.7636 | 0.7437 | 0.7735 | 0.9476 |
169
  | 0.0323 | 9.6280 | 8800 | 0.3162 | 0.7723 | 0.7390 | 0.7553 | 0.9476 |
170
+ | 0.0323 | 9.7374 | 8900 | 0.3070 | 0.7605 | 0.7419 | 0.7811 | 0.9467 |
171
+ | 0.0357 | 9.8468 | 9000 | 0.3117 | 0.7824 | 0.7396 | 0.7804 | 0.9481 |
172
+ | 0.0357 | 9.9562 | 9100 | 0.3130 | 0.7750 | 0.7396 | 0.7869 | 0.9472 |
173
+ | 0.0357 | 10.0656 | 9200 | 0.3095 | 0.7673 | 0.7405 | 0.7837 | 0.9476 |
174
+ | 0.0357 | 10.1751 | 9300 | 0.3179 | 0.7868 | 0.7357 | 0.7804 | 0.9477 |
175
+ | 0.0357 | 10.2845 | 9400 | 0.3077 | 0.7645 | 0.7405 | 0.7823 | 0.9472 |
176
+ | 0.0359 | 10.3939 | 9500 | 0.3128 | 0.7798 | 0.7366 | 0.7876 | 0.9476 |
177
+ | 0.0359 | 10.5033 | 9600 | 0.3151 | 0.7784 | 0.7377 | 0.7875 | 0.9475 |
178
+ | 0.0359 | 10.6127 | 9700 | 0.3138 | 0.7744 | 0.7420 | 0.7879 | 0.9478 |
179
+ | 0.0359 | 10.7221 | 9800 | 0.3115 | 0.7688 | 0.7415 | 0.7849 | 0.9475 |
180
+ | 0.0359 | 10.8315 | 9900 | 0.3097 | 0.7673 | 0.7411 | 0.7840 | 0.9472 |
181
+ | 0.0301 | 10.9409 | 10000 | 0.3095 | 0.7674 | 0.7409 | 0.7989 | 0.9474 |
182
 
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  ### Framework versions