Hugging Face's logo

MayBashendy
/
ArabicNewSplits8_FineTuningAraBERT_noAug_task7_organization

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
MayBashendy commited on
Commit
2fe926e
·
verified ·
1 Parent(s): d9705ba

End of training

Browse files
Files changed (1) hide show
  1. README.md +158 -158
README.md CHANGED
@@ -4,21 +4,21 @@ base_model: aubmindlab/bert-base-arabertv02
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
- - name: ArabicNewSplits8_FineTuningAraBERT_noAug_task6_organization
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
- # ArabicNewSplits8_FineTuningAraBERT_noAug_task6_organization
15
 
16
  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.8340
19
- - Qwk: 0.5723
20
- - Mse: 0.8340
21
- - Rmse: 0.9132
22
 
23
  ## Model description
24
 
@@ -47,158 +47,158 @@ The following hyperparameters were used during training:
47
 
48
  ### Training results
49
 
50
- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
51
- |:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|:------:|
52
- | No log | 0.6667 | 2 | 3.4526 | -0.0317 | 3.4526 | 1.8581 |
53
- | No log | 1.3333 | 4 | 2.2343 | 0.0404 | 2.2343 | 1.4948 |
54
- | No log | 2.0 | 6 | 1.2101 | 0.2208 | 1.2101 | 1.1001 |
55
- | No log | 2.6667 | 8 | 0.9193 | 0.0 | 0.9193 | 0.9588 |
56
- | No log | 3.3333 | 10 | 1.0335 | 0.0335 | 1.0335 | 1.0166 |
57
- | No log | 4.0 | 12 | 0.8504 | 0.0218 | 0.8504 | 0.9222 |
58
- | No log | 4.6667 | 14 | 0.7086 | 0.4351 | 0.7086 | 0.8418 |
59
- | No log | 5.3333 | 16 | 0.7541 | 0.4673 | 0.7541 | 0.8684 |
60
- | No log | 6.0 | 18 | 0.8298 | 0.1506 | 0.8298 | 0.9110 |
61
- | No log | 6.6667 | 20 | 0.7384 | 0.3826 | 0.7384 | 0.8593 |
62
- | No log | 7.3333 | 22 | 0.7834 | 0.3974 | 0.7834 | 0.8851 |
63
- | No log | 8.0 | 24 | 0.8762 | 0.4259 | 0.8762 | 0.9361 |
64
- | No log | 8.6667 | 26 | 1.0062 | 0.4243 | 1.0062 | 1.0031 |
65
- | No log | 9.3333 | 28 | 1.1543 | 0.3660 | 1.1543 | 1.0744 |
66
- | No log | 10.0 | 30 | 1.1532 | 0.3431 | 1.1532 | 1.0739 |
67
- | No log | 10.6667 | 32 | 0.9774 | 0.4068 | 0.9774 | 0.9886 |
68
- | No log | 11.3333 | 34 | 0.8913 | 0.3946 | 0.8913 | 0.9441 |
69
- | No log | 12.0 | 36 | 0.9398 | 0.4270 | 0.9398 | 0.9694 |
70
- | No log | 12.6667 | 38 | 0.9502 | 0.4216 | 0.9502 | 0.9748 |
71
- | No log | 13.3333 | 40 | 0.8479 | 0.4825 | 0.8479 | 0.9208 |
72
- | No log | 14.0 | 42 | 0.8696 | 0.4985 | 0.8696 | 0.9325 |
73
- | No log | 14.6667 | 44 | 0.8998 | 0.4798 | 0.8998 | 0.9486 |
74
- | No log | 15.3333 | 46 | 1.0532 | 0.4270 | 1.0532 | 1.0263 |
75
- | No log | 16.0 | 48 | 1.2459 | 0.4253 | 1.2459 | 1.1162 |
76
- | No log | 16.6667 | 50 | 1.1062 | 0.4235 | 1.1062 | 1.0518 |
77
- | No log | 17.3333 | 52 | 0.9501 | 0.4368 | 0.9501 | 0.9747 |
78
- | No log | 18.0 | 54 | 0.8000 | 0.5703 | 0.8000 | 0.8944 |
79
- | No log | 18.6667 | 56 | 0.7786 | 0.5422 | 0.7786 | 0.8824 |
80
- | No log | 19.3333 | 58 | 0.8515 | 0.6029 | 0.8515 | 0.9228 |
81
- | No log | 20.0 | 60 | 1.0081 | 0.4269 | 1.0081 | 1.0040 |
82
- | No log | 20.6667 | 62 | 1.0674 | 0.4284 | 1.0674 | 1.0331 |
83
- | No log | 21.3333 | 64 | 1.0013 | 0.4189 | 1.0013 | 1.0006 |
84
- | No log | 22.0 | 66 | 0.8419 | 0.5115 | 0.8419 | 0.9175 |
85
- | No log | 22.6667 | 68 | 0.7435 | 0.6547 | 0.7435 | 0.8623 |
86
- | No log | 23.3333 | 70 | 0.7719 | 0.6163 | 0.7719 | 0.8786 |
87
- | No log | 24.0 | 72 | 0.7651 | 0.5351 | 0.7651 | 0.8747 |
88
- | No log | 24.6667 | 74 | 0.9053 | 0.4363 | 0.9053 | 0.9515 |
89
- | No log | 25.3333 | 76 | 1.0090 | 0.4974 | 1.0090 | 1.0045 |
90
- | No log | 26.0 | 78 | 0.9488 | 0.5155 | 0.9488 | 0.9741 |
91
- | No log | 26.6667 | 80 | 0.7880 | 0.5981 | 0.7880 | 0.8877 |
92
- | No log | 27.3333 | 82 | 0.6494 | 0.6654 | 0.6494 | 0.8058 |
93
- | No log | 28.0 | 84 | 0.6348 | 0.6444 | 0.6348 | 0.7967 |
94
- | No log | 28.6667 | 86 | 0.6857 | 0.6173 | 0.6857 | 0.8281 |
95
- | No log | 29.3333 | 88 | 0.8317 | 0.5460 | 0.8317 | 0.9120 |
96
- | No log | 30.0 | 90 | 0.8303 | 0.5545 | 0.8303 | 0.9112 |
97
- | No log | 30.6667 | 92 | 0.8252 | 0.5981 | 0.8252 | 0.9084 |
98
- | No log | 31.3333 | 94 | 0.8322 | 0.5981 | 0.8322 | 0.9123 |
99
- | No log | 32.0 | 96 | 0.9369 | 0.4573 | 0.9369 | 0.9680 |
100
- | No log | 32.6667 | 98 | 0.8769 | 0.4764 | 0.8769 | 0.9364 |
101
- | No log | 33.3333 | 100 | 0.6936 | 0.6296 | 0.6936 | 0.8328 |
102
- | No log | 34.0 | 102 | 0.6399 | 0.6264 | 0.6399 | 0.8000 |
103
- | No log | 34.6667 | 104 | 0.6302 | 0.6351 | 0.6302 | 0.7938 |
104
- | No log | 35.3333 | 106 | 0.6795 | 0.6403 | 0.6795 | 0.8243 |
105
- | No log | 36.0 | 108 | 0.8245 | 0.5534 | 0.8245 | 0.9080 |
106
- | No log | 36.6667 | 110 | 0.9075 | 0.5082 | 0.9075 | 0.9526 |
107
- | No log | 37.3333 | 112 | 0.8475 | 0.5747 | 0.8475 | 0.9206 |
108
- | No log | 38.0 | 114 | 0.8374 | 0.5603 | 0.8374 | 0.9151 |
109
- | No log | 38.6667 | 116 | 0.8240 | 0.5766 | 0.8240 | 0.9077 |
110
- | No log | 39.3333 | 118 | 0.7487 | 0.5591 | 0.7487 | 0.8653 |
111
- | No log | 40.0 | 120 | 0.7509 | 0.5641 | 0.7509 | 0.8666 |
112
- | No log | 40.6667 | 122 | 0.7738 | 0.5610 | 0.7738 | 0.8797 |
113
- | No log | 41.3333 | 124 | 0.8370 | 0.4535 | 0.8370 | 0.9149 |
114
- | No log | 42.0 | 126 | 0.8331 | 0.4494 | 0.8331 | 0.9128 |
115
- | No log | 42.6667 | 128 | 0.7992 | 0.5462 | 0.7992 | 0.8940 |
116
- | No log | 43.3333 | 130 | 0.7800 | 0.5809 | 0.7800 | 0.8832 |
117
- | No log | 44.0 | 132 | 0.8098 | 0.5543 | 0.8098 | 0.8999 |
118
- | No log | 44.6667 | 134 | 0.8243 | 0.5371 | 0.8243 | 0.9079 |
119
- | No log | 45.3333 | 136 | 0.7971 | 0.5388 | 0.7971 | 0.8928 |
120
- | No log | 46.0 | 138 | 0.7945 | 0.5040 | 0.7945 | 0.8914 |
121
- | No log | 46.6667 | 140 | 0.7726 | 0.4768 | 0.7726 | 0.8790 |
122
- | No log | 47.3333 | 142 | 0.7802 | 0.5077 | 0.7802 | 0.8833 |
123
- | No log | 48.0 | 144 | 0.8691 | 0.4032 | 0.8691 | 0.9323 |
124
- | No log | 48.6667 | 146 | 0.8543 | 0.4858 | 0.8543 | 0.9243 |
125
- | No log | 49.3333 | 148 | 0.7738 | 0.4584 | 0.7738 | 0.8797 |
126
- | No log | 50.0 | 150 | 0.6812 | 0.4978 | 0.6812 | 0.8254 |
127
- | No log | 50.6667 | 152 | 0.6483 | 0.5688 | 0.6483 | 0.8051 |
128
- | No log | 51.3333 | 154 | 0.6532 | 0.5983 | 0.6532 | 0.8082 |
129
- | No log | 52.0 | 156 | 0.6650 | 0.5983 | 0.6650 | 0.8154 |
130
- | No log | 52.6667 | 158 | 0.7280 | 0.5670 | 0.7280 | 0.8532 |
131
- | No log | 53.3333 | 160 | 0.7748 | 0.5678 | 0.7748 | 0.8802 |
132
- | No log | 54.0 | 162 | 0.7402 | 0.5983 | 0.7402 | 0.8603 |
133
- | No log | 54.6667 | 164 | 0.7146 | 0.5891 | 0.7146 | 0.8453 |
134
- | No log | 55.3333 | 166 | 0.7148 | 0.5985 | 0.7148 | 0.8455 |
135
- | No log | 56.0 | 168 | 0.7414 | 0.6164 | 0.7414 | 0.8610 |
136
- | No log | 56.6667 | 170 | 0.7514 | 0.6071 | 0.7514 | 0.8669 |
137
- | No log | 57.3333 | 172 | 0.7558 | 0.6071 | 0.7558 | 0.8694 |
138
- | No log | 58.0 | 174 | 0.7710 | 0.5901 | 0.7710 | 0.8781 |
139
- | No log | 58.6667 | 176 | 0.7183 | 0.6200 | 0.7183 | 0.8475 |
140
- | No log | 59.3333 | 178 | 0.6501 | 0.6380 | 0.6501 | 0.8063 |
141
- | No log | 60.0 | 180 | 0.6183 | 0.6236 | 0.6183 | 0.7863 |
142
- | No log | 60.6667 | 182 | 0.6362 | 0.6181 | 0.6362 | 0.7976 |
143
- | No log | 61.3333 | 184 | 0.7140 | 0.5981 | 0.7140 | 0.8450 |
144
- | No log | 62.0 | 186 | 0.8421 | 0.5427 | 0.8421 | 0.9177 |
145
- | No log | 62.6667 | 188 | 0.9839 | 0.4686 | 0.9839 | 0.9919 |
146
- | No log | 63.3333 | 190 | 1.0033 | 0.4535 | 1.0033 | 1.0017 |
147
- | No log | 64.0 | 192 | 0.9185 | 0.4976 | 0.9185 | 0.9584 |
148
- | No log | 64.6667 | 194 | 0.8244 | 0.5571 | 0.8244 | 0.9080 |
149
- | No log | 65.3333 | 196 | 0.7345 | 0.6078 | 0.7345 | 0.8571 |
150
- | No log | 66.0 | 198 | 0.7035 | 0.5934 | 0.7035 | 0.8388 |
151
- | No log | 66.6667 | 200 | 0.7409 | 0.5589 | 0.7409 | 0.8608 |
152
- | No log | 67.3333 | 202 | 0.8480 | 0.5709 | 0.8480 | 0.9208 |
153
- | No log | 68.0 | 204 | 0.9548 | 0.5001 | 0.9548 | 0.9771 |
154
- | No log | 68.6667 | 206 | 1.0006 | 0.4646 | 1.0006 | 1.0003 |
155
- | No log | 69.3333 | 208 | 1.0472 | 0.4482 | 1.0472 | 1.0233 |
156
- | No log | 70.0 | 210 | 1.0085 | 0.4646 | 1.0085 | 1.0042 |
157
- | No log | 70.6667 | 212 | 0.9211 | 0.5296 | 0.9211 | 0.9597 |
158
- | No log | 71.3333 | 214 | 0.8564 | 0.5678 | 0.8564 | 0.9254 |
159
- | No log | 72.0 | 216 | 0.8190 | 0.5764 | 0.8190 | 0.9050 |
160
- | No log | 72.6667 | 218 | 0.8210 | 0.5678 | 0.8210 | 0.9061 |
161
- | No log | 73.3333 | 220 | 0.8126 | 0.5764 | 0.8126 | 0.9014 |
162
- | No log | 74.0 | 222 | 0.8188 | 0.5764 | 0.8188 | 0.9049 |
163
- | No log | 74.6667 | 224 | 0.8274 | 0.5497 | 0.8274 | 0.9096 |
164
- | No log | 75.3333 | 226 | 0.8370 | 0.5497 | 0.8370 | 0.9149 |
165
- | No log | 76.0 | 228 | 0.8657 | 0.5001 | 0.8657 | 0.9304 |
166
- | No log | 76.6667 | 230 | 0.8825 | 0.5001 | 0.8825 | 0.9394 |
167
- | No log | 77.3333 | 232 | 0.8894 | 0.5244 | 0.8894 | 0.9431 |
168
- | No log | 78.0 | 234 | 0.8879 | 0.5244 | 0.8879 | 0.9423 |
169
- | No log | 78.6667 | 236 | 0.8604 | 0.5427 | 0.8604 | 0.9276 |
170
- | No log | 79.3333 | 238 | 0.8326 | 0.5497 | 0.8326 | 0.9124 |
171
- | No log | 80.0 | 240 | 0.7870 | 0.5678 | 0.7870 | 0.8872 |
172
- | No log | 80.6667 | 242 | 0.7509 | 0.5764 | 0.7509 | 0.8665 |
173
- | No log | 81.3333 | 244 | 0.7092 | 0.5935 | 0.7092 | 0.8421 |
174
- | No log | 82.0 | 246 | 0.6965 | 0.6074 | 0.6965 | 0.8346 |
175
- | No log | 82.6667 | 248 | 0.6998 | 0.5935 | 0.6998 | 0.8366 |
176
- | No log | 83.3333 | 250 | 0.7183 | 0.5935 | 0.7183 | 0.8475 |
177
- | No log | 84.0 | 252 | 0.7599 | 0.5981 | 0.7599 | 0.8717 |
178
- | No log | 84.6667 | 254 | 0.8164 | 0.5678 | 0.8164 | 0.9036 |
179
- | No log | 85.3333 | 256 | 0.8851 | 0.5678 | 0.8851 | 0.9408 |
180
- | No log | 86.0 | 258 | 0.9300 | 0.5427 | 0.9300 | 0.9644 |
181
- | No log | 86.6667 | 260 | 0.9437 | 0.5234 | 0.9437 | 0.9714 |
182
- | No log | 87.3333 | 262 | 0.9368 | 0.5234 | 0.9368 | 0.9679 |
183
- | No log | 88.0 | 264 | 0.9105 | 0.5427 | 0.9105 | 0.9542 |
184
- | No log | 88.6667 | 266 | 0.8754 | 0.5427 | 0.8754 | 0.9356 |
185
- | No log | 89.3333 | 268 | 0.8341 | 0.5497 | 0.8341 | 0.9133 |
186
- | No log | 90.0 | 270 | 0.7874 | 0.5678 | 0.7874 | 0.8874 |
187
- | No log | 90.6667 | 272 | 0.7526 | 0.5892 | 0.7526 | 0.8675 |
188
- | No log | 91.3333 | 274 | 0.7188 | 0.5758 | 0.7188 | 0.8478 |
189
- | No log | 92.0 | 276 | 0.7026 | 0.5894 | 0.7026 | 0.8382 |
190
- | No log | 92.6667 | 278 | 0.7010 | 0.5937 | 0.7010 | 0.8372 |
191
- | No log | 93.3333 | 280 | 0.7121 | 0.5847 | 0.7121 | 0.8439 |
192
- | No log | 94.0 | 282 | 0.7318 | 0.5892 | 0.7318 | 0.8555 |
193
- | No log | 94.6667 | 284 | 0.7518 | 0.5709 | 0.7518 | 0.8671 |
194
- | No log | 95.3333 | 286 | 0.7656 | 0.5709 | 0.7656 | 0.8750 |
195
- | No log | 96.0 | 288 | 0.7820 | 0.5497 | 0.7820 | 0.8843 |
196
- | No log | 96.6667 | 290 | 0.7991 | 0.5497 | 0.7991 | 0.8939 |
197
- | No log | 97.3333 | 292 | 0.8130 | 0.5497 | 0.8130 | 0.9017 |
198
- | No log | 98.0 | 294 | 0.8224 | 0.5497 | 0.8224 | 0.9069 |
199
- | No log | 98.6667 | 296 | 0.8284 | 0.5723 | 0.8284 | 0.9101 |
200
- | No log | 99.3333 | 298 | 0.8328 | 0.5723 | 0.8328 | 0.9126 |
201
- | No log | 100.0 | 300 | 0.8340 | 0.5723 | 0.8340 | 0.9132 |
202
 
203
 
204
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: ArabicNewSplits8_FineTuningAraBERT_noAug_task7_organization
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # ArabicNewSplits8_FineTuningAraBERT_noAug_task7_organization
15
 
16
  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.6075
19
+ - Qwk: 0.5101
20
+ - Mse: 0.6075
21
+ - Rmse: 0.7794
22
 
23
  ## Model description
24
 
 
47
 
48
  ### Training results
49
 
50
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
51
+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|
52
+ | No log | 0.6667 | 2 | 2.1474 | 0.0339 | 2.1474 | 1.4654 |
53
+ | No log | 1.3333 | 4 | 1.3213 | 0.0723 | 1.3213 | 1.1495 |
54
+ | No log | 2.0 | 6 | 0.6446 | 0.1622 | 0.6446 | 0.8028 |
55
+ | No log | 2.6667 | 8 | 0.8130 | 0.2940 | 0.8130 | 0.9017 |
56
+ | No log | 3.3333 | 10 | 1.0316 | 0.2027 | 1.0316 | 1.0157 |
57
+ | No log | 4.0 | 12 | 0.8163 | 0.3321 | 0.8163 | 0.9035 |
58
+ | No log | 4.6667 | 14 | 0.5551 | 0.5315 | 0.5551 | 0.7451 |
59
+ | No log | 5.3333 | 16 | 0.5100 | 0.5123 | 0.5100 | 0.7141 |
60
+ | No log | 6.0 | 18 | 0.5523 | 0.5025 | 0.5523 | 0.7432 |
61
+ | No log | 6.6667 | 20 | 0.5506 | 0.4589 | 0.5506 | 0.7420 |
62
+ | No log | 7.3333 | 22 | 0.5711 | 0.4759 | 0.5711 | 0.7557 |
63
+ | No log | 8.0 | 24 | 0.5892 | 0.4492 | 0.5892 | 0.7676 |
64
+ | No log | 8.6667 | 26 | 0.5732 | 0.4292 | 0.5732 | 0.7571 |
65
+ | No log | 9.3333 | 28 | 0.6004 | 0.4185 | 0.6004 | 0.7749 |
66
+ | No log | 10.0 | 30 | 0.6516 | 0.3661 | 0.6516 | 0.8072 |
67
+ | No log | 10.6667 | 32 | 0.6818 | 0.3765 | 0.6818 | 0.8257 |
68
+ | No log | 11.3333 | 34 | 0.6758 | 0.3988 | 0.6758 | 0.8221 |
69
+ | No log | 12.0 | 36 | 0.6504 | 0.3905 | 0.6504 | 0.8065 |
70
+ | No log | 12.6667 | 38 | 0.5567 | 0.4414 | 0.5567 | 0.7462 |
71
+ | No log | 13.3333 | 40 | 0.5557 | 0.4669 | 0.5557 | 0.7454 |
72
+ | No log | 14.0 | 42 | 0.5239 | 0.5430 | 0.5239 | 0.7238 |
73
+ | No log | 14.6667 | 44 | 0.7165 | 0.4218 | 0.7165 | 0.8465 |
74
+ | No log | 15.3333 | 46 | 0.6867 | 0.4343 | 0.6867 | 0.8287 |
75
+ | No log | 16.0 | 48 | 0.5641 | 0.4725 | 0.5641 | 0.7511 |
76
+ | No log | 16.6667 | 50 | 0.5551 | 0.5205 | 0.5551 | 0.7450 |
77
+ | No log | 17.3333 | 52 | 0.5751 | 0.5035 | 0.5751 | 0.7583 |
78
+ | No log | 18.0 | 54 | 0.6803 | 0.4549 | 0.6803 | 0.8248 |
79
+ | No log | 18.6667 | 56 | 0.6782 | 0.5051 | 0.6782 | 0.8235 |
80
+ | No log | 19.3333 | 58 | 0.5668 | 0.4929 | 0.5668 | 0.7528 |
81
+ | No log | 20.0 | 60 | 0.5338 | 0.4315 | 0.5338 | 0.7306 |
82
+ | No log | 20.6667 | 62 | 0.5276 | 0.4640 | 0.5276 | 0.7264 |
83
+ | No log | 21.3333 | 64 | 0.5527 | 0.4722 | 0.5527 | 0.7435 |
84
+ | No log | 22.0 | 66 | 0.6596 | 0.5376 | 0.6596 | 0.8122 |
85
+ | No log | 22.6667 | 68 | 0.7277 | 0.4822 | 0.7277 | 0.8531 |
86
+ | No log | 23.3333 | 70 | 0.5849 | 0.5272 | 0.5849 | 0.7648 |
87
+ | No log | 24.0 | 72 | 0.5113 | 0.5053 | 0.5113 | 0.7151 |
88
+ | No log | 24.6667 | 74 | 0.5041 | 0.5223 | 0.5041 | 0.7100 |
89
+ | No log | 25.3333 | 76 | 0.5902 | 0.4664 | 0.5902 | 0.7682 |
90
+ | No log | 26.0 | 78 | 0.7216 | 0.5015 | 0.7216 | 0.8495 |
91
+ | No log | 26.6667 | 80 | 0.8025 | 0.4086 | 0.8025 | 0.8958 |
92
+ | No log | 27.3333 | 82 | 0.7171 | 0.4218 | 0.7171 | 0.8468 |
93
+ | No log | 28.0 | 84 | 0.5938 | 0.5055 | 0.5938 | 0.7706 |
94
+ | No log | 28.6667 | 86 | 0.5747 | 0.4748 | 0.5747 | 0.7581 |
95
+ | No log | 29.3333 | 88 | 0.6186 | 0.4123 | 0.6186 | 0.7865 |
96
+ | No log | 30.0 | 90 | 0.7446 | 0.4676 | 0.7446 | 0.8629 |
97
+ | No log | 30.6667 | 92 | 0.8161 | 0.4241 | 0.8161 | 0.9034 |
98
+ | No log | 31.3333 | 94 | 0.8996 | 0.3973 | 0.8996 | 0.9485 |
99
+ | No log | 32.0 | 96 | 0.7428 | 0.4369 | 0.7428 | 0.8619 |
100
+ | No log | 32.6667 | 98 | 0.6311 | 0.4400 | 0.6311 | 0.7944 |
101
+ | No log | 33.3333 | 100 | 0.6400 | 0.4848 | 0.6400 | 0.8000 |
102
+ | No log | 34.0 | 102 | 0.7560 | 0.3974 | 0.7560 | 0.8695 |
103
+ | No log | 34.6667 | 104 | 0.9413 | 0.3497 | 0.9413 | 0.9702 |
104
+ | No log | 35.3333 | 106 | 0.9029 | 0.4086 | 0.9029 | 0.9502 |
105
+ | No log | 36.0 | 108 | 0.7306 | 0.4360 | 0.7306 | 0.8548 |
106
+ | No log | 36.6667 | 110 | 0.6129 | 0.4282 | 0.6129 | 0.7829 |
107
+ | No log | 37.3333 | 112 | 0.6088 | 0.4249 | 0.6088 | 0.7803 |
108
+ | No log | 38.0 | 114 | 0.7047 | 0.4360 | 0.7047 | 0.8394 |
109
+ | No log | 38.6667 | 116 | 0.8933 | 0.3611 | 0.8933 | 0.9451 |
110
+ | No log | 39.3333 | 118 | 0.9288 | 0.3568 | 0.9288 | 0.9638 |
111
+ | No log | 40.0 | 120 | 0.8323 | 0.3761 | 0.8323 | 0.9123 |
112
+ | No log | 40.6667 | 122 | 0.6955 | 0.4009 | 0.6955 | 0.8340 |
113
+ | No log | 41.3333 | 124 | 0.6258 | 0.4705 | 0.6258 | 0.7911 |
114
+ | No log | 42.0 | 126 | 0.5640 | 0.4905 | 0.5640 | 0.7510 |
115
+ | No log | 42.6667 | 128 | 0.5791 | 0.4281 | 0.5791 | 0.7610 |
116
+ | No log | 43.3333 | 130 | 0.6355 | 0.4606 | 0.6355 | 0.7972 |
117
+ | No log | 44.0 | 132 | 0.7685 | 0.4066 | 0.7685 | 0.8766 |
118
+ | No log | 44.6667 | 134 | 0.9025 | 0.2998 | 0.9025 | 0.9500 |
119
+ | No log | 45.3333 | 136 | 0.9050 | 0.2861 | 0.9050 | 0.9513 |
120
+ | No log | 46.0 | 138 | 0.8015 | 0.3321 | 0.8015 | 0.8953 |
121
+ | No log | 46.6667 | 140 | 0.7314 | 0.3671 | 0.7314 | 0.8552 |
122
+ | No log | 47.3333 | 142 | 0.7086 | 0.4331 | 0.7086 | 0.8418 |
123
+ | No log | 48.0 | 144 | 0.6768 | 0.4747 | 0.6768 | 0.8227 |
124
+ | No log | 48.6667 | 146 | 0.6122 | 0.4409 | 0.6122 | 0.7824 |
125
+ | No log | 49.3333 | 148 | 0.5908 | 0.4241 | 0.5908 | 0.7686 |
126
+ | No log | 50.0 | 150 | 0.6497 | 0.4589 | 0.6497 | 0.8060 |
127
+ | No log | 50.6667 | 152 | 0.7459 | 0.3980 | 0.7459 | 0.8636 |
128
+ | No log | 51.3333 | 154 | 0.8399 | 0.3844 | 0.8399 | 0.9165 |
129
+ | No log | 52.0 | 156 | 0.9210 | 0.3730 | 0.9210 | 0.9597 |
130
+ | No log | 52.6667 | 158 | 0.8614 | 0.4118 | 0.8614 | 0.9281 |
131
+ | No log | 53.3333 | 160 | 0.7090 | 0.4469 | 0.7090 | 0.8420 |
132
+ | No log | 54.0 | 162 | 0.6224 | 0.4262 | 0.6224 | 0.7889 |
133
+ | No log | 54.6667 | 164 | 0.5817 | 0.4749 | 0.5817 | 0.7627 |
134
+ | No log | 55.3333 | 166 | 0.5629 | 0.4963 | 0.5629 | 0.7503 |
135
+ | No log | 56.0 | 168 | 0.5647 | 0.5250 | 0.5647 | 0.7515 |
136
+ | No log | 56.6667 | 170 | 0.5722 | 0.5196 | 0.5722 | 0.7564 |
137
+ | No log | 57.3333 | 172 | 0.6110 | 0.4436 | 0.6110 | 0.7816 |
138
+ | No log | 58.0 | 174 | 0.6854 | 0.4598 | 0.6854 | 0.8279 |
139
+ | No log | 58.6667 | 176 | 0.7666 | 0.3496 | 0.7666 | 0.8756 |
140
+ | No log | 59.3333 | 178 | 0.8282 | 0.3293 | 0.8282 | 0.9100 |
141
+ | No log | 60.0 | 180 | 0.8424 | 0.3426 | 0.8424 | 0.9178 |
142
+ | No log | 60.6667 | 182 | 0.8670 | 0.3426 | 0.8670 | 0.9311 |
143
+ | No log | 61.3333 | 184 | 0.8375 | 0.3426 | 0.8375 | 0.9152 |
144
+ | No log | 62.0 | 186 | 0.7924 | 0.3415 | 0.7924 | 0.8902 |
145
+ | No log | 62.6667 | 188 | 0.7521 | 0.3935 | 0.7521 | 0.8673 |
146
+ | No log | 63.3333 | 190 | 0.7321 | 0.3980 | 0.7321 | 0.8556 |
147
+ | No log | 64.0 | 192 | 0.6943 | 0.4598 | 0.6943 | 0.8333 |
148
+ | No log | 64.6667 | 194 | 0.6372 | 0.4705 | 0.6372 | 0.7982 |
149
+ | No log | 65.3333 | 196 | 0.5764 | 0.4072 | 0.5764 | 0.7592 |
150
+ | No log | 66.0 | 198 | 0.5649 | 0.4623 | 0.5649 | 0.7516 |
151
+ | No log | 66.6667 | 200 | 0.5604 | 0.4799 | 0.5604 | 0.7486 |
152
+ | No log | 67.3333 | 202 | 0.5796 | 0.4260 | 0.5796 | 0.7613 |
153
+ | No log | 68.0 | 204 | 0.6050 | 0.4357 | 0.6050 | 0.7778 |
154
+ | No log | 68.6667 | 206 | 0.6350 | 0.4367 | 0.6350 | 0.7969 |
155
+ | No log | 69.3333 | 208 | 0.6583 | 0.4367 | 0.6583 | 0.8113 |
156
+ | No log | 70.0 | 210 | 0.6856 | 0.4520 | 0.6856 | 0.8280 |
157
+ | No log | 70.6667 | 212 | 0.7125 | 0.4198 | 0.7125 | 0.8441 |
158
+ | No log | 71.3333 | 214 | 0.7093 | 0.4363 | 0.7093 | 0.8422 |
159
+ | No log | 72.0 | 216 | 0.6728 | 0.4198 | 0.6728 | 0.8202 |
160
+ | No log | 72.6667 | 218 | 0.6735 | 0.4198 | 0.6735 | 0.8206 |
161
+ | No log | 73.3333 | 220 | 0.6626 | 0.4367 | 0.6626 | 0.8140 |
162
+ | No log | 74.0 | 222 | 0.6762 | 0.4198 | 0.6762 | 0.8223 |
163
+ | No log | 74.6667 | 224 | 0.6924 | 0.4198 | 0.6924 | 0.8321 |
164
+ | No log | 75.3333 | 226 | 0.6963 | 0.4198 | 0.6963 | 0.8344 |
165
+ | No log | 76.0 | 228 | 0.6720 | 0.4198 | 0.6720 | 0.8198 |
166
+ | No log | 76.6667 | 230 | 0.6603 | 0.4367 | 0.6603 | 0.8126 |
167
+ | No log | 77.3333 | 232 | 0.6394 | 0.4533 | 0.6394 | 0.7996 |
168
+ | No log | 78.0 | 234 | 0.6330 | 0.4533 | 0.6330 | 0.7956 |
169
+ | No log | 78.6667 | 236 | 0.6186 | 0.4533 | 0.6186 | 0.7865 |
170
+ | No log | 79.3333 | 238 | 0.6221 | 0.4479 | 0.6221 | 0.7887 |
171
+ | No log | 80.0 | 240 | 0.6380 | 0.4222 | 0.6380 | 0.7988 |
172
+ | No log | 80.6667 | 242 | 0.6631 | 0.4896 | 0.6631 | 0.8143 |
173
+ | No log | 81.3333 | 244 | 0.6821 | 0.4896 | 0.6821 | 0.8259 |
174
+ | No log | 82.0 | 246 | 0.6991 | 0.4896 | 0.6991 | 0.8361 |
175
+ | No log | 82.6667 | 248 | 0.7052 | 0.4896 | 0.7052 | 0.8398 |
176
+ | No log | 83.3333 | 250 | 0.6773 | 0.4896 | 0.6773 | 0.8230 |
177
+ | No log | 84.0 | 252 | 0.6617 | 0.4748 | 0.6617 | 0.8134 |
178
+ | No log | 84.6667 | 254 | 0.6431 | 0.4687 | 0.6431 | 0.8019 |
179
+ | No log | 85.3333 | 256 | 0.6186 | 0.4543 | 0.6186 | 0.7865 |
180
+ | No log | 86.0 | 258 | 0.5900 | 0.4688 | 0.5900 | 0.7681 |
181
+ | No log | 86.6667 | 260 | 0.5775 | 0.4629 | 0.5775 | 0.7599 |
182
+ | No log | 87.3333 | 262 | 0.5773 | 0.4678 | 0.5773 | 0.7598 |
183
+ | No log | 88.0 | 264 | 0.5884 | 0.4688 | 0.5884 | 0.7671 |
184
+ | No log | 88.6667 | 266 | 0.5977 | 0.5043 | 0.5977 | 0.7731 |
185
+ | No log | 89.3333 | 268 | 0.6007 | 0.5101 | 0.6007 | 0.7751 |
186
+ | No log | 90.0 | 270 | 0.6084 | 0.4836 | 0.6084 | 0.7800 |
187
+ | No log | 90.6667 | 272 | 0.6202 | 0.4415 | 0.6202 | 0.7875 |
188
+ | No log | 91.3333 | 274 | 0.6380 | 0.4369 | 0.6380 | 0.7987 |
189
+ | No log | 92.0 | 276 | 0.6614 | 0.4748 | 0.6614 | 0.8133 |
190
+ | No log | 92.6667 | 278 | 0.6784 | 0.4896 | 0.6784 | 0.8237 |
191
+ | No log | 93.3333 | 280 | 0.6848 | 0.4896 | 0.6848 | 0.8275 |
192
+ | No log | 94.0 | 282 | 0.6794 | 0.4896 | 0.6794 | 0.8243 |
193
+ | No log | 94.6667 | 284 | 0.6719 | 0.4896 | 0.6719 | 0.8197 |
194
+ | No log | 95.3333 | 286 | 0.6606 | 0.4748 | 0.6606 | 0.8128 |
195
+ | No log | 96.0 | 288 | 0.6476 | 0.4687 | 0.6476 | 0.8047 |
196
+ | No log | 96.6667 | 290 | 0.6362 | 0.4687 | 0.6362 | 0.7976 |
197
+ | No log | 97.3333 | 292 | 0.6252 | 0.4333 | 0.6252 | 0.7907 |
198
+ | No log | 98.0 | 294 | 0.6183 | 0.4586 | 0.6183 | 0.7863 |
199
+ | No log | 98.6667 | 296 | 0.6130 | 0.4845 | 0.6130 | 0.7829 |
200
+ | No log | 99.3333 | 298 | 0.6089 | 0.4676 | 0.6089 | 0.7803 |
201
+ | No log | 100.0 | 300 | 0.6075 | 0.5101 | 0.6075 | 0.7794 |
202
 
203
 
204
  ### Framework versions