Hugging Face's logo

OverloadedOperator
/
tokomni-whisper-i4

PEFT
TensorBoard
Safetensors
Hebrew
hf-asr-leaderboard
Generated from Trainer
Model card Files Metrics Community
OverloadedOperator commited on
Commit
5858499
·
verified ·
1 Parent(s): 3e62b29

End of training

Browse files
Files changed (7) hide show
  1. README.md +1067 -0
  2. adapter_config.json +31 -0
  3. adapter_model.safetensors +3 -0
  4. preprocessor_config.json +14 -0
  5. runs/Oct21_12-56-43_Adam-Laptop/events.out.tfevents.1729504604.Adam-Laptop +3 -0
  6. runs/Oct21_13-02-20_Adam-Laptop/events.out.tfevents.1729504940.Adam-Laptop +3 -0
  7. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,1067 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - he
4
+ license: apache-2.0
5
+ library_name: peft
6
+ tags:
7
+ - hf-asr-leaderboard
8
+ - generated_from_trainer
9
+ datasets:
10
+ - imvladikon/hebrew_speech_kan
11
+ base_model: openai/whisper-tiny
12
+ model-index:
13
+ - name: TK_Whisper_ASR
14
+ results: []
15
+ ---
16
+
17
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
+ should probably proofread and complete it, then remove this comment. -->
19
+
20
+ # TK_Whisper_ASR
21
+
22
+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the KAN Hebrew Speech dataset.
23
+ It achieves the following results on the evaluation set:
24
+ - Loss: 0.0014
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 1e-05
44
+ - train_batch_size: 2
45
+ - eval_batch_size: 2
46
+ - seed: 42
47
+ - gradient_accumulation_steps: 4
48
+ - total_train_batch_size: 8
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: linear
51
+ - lr_scheduler_warmup_steps: 50
52
+ - training_steps: 1000
53
+ - mixed_precision_training: Native AMP
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss |
58
+ |:-------------:|:------:|:----:|:---------------:|
59
+ | No log | 1.0 | 1 | 6.4006 |
60
+ | No log | 2.0 | 2 | 6.4006 |
61
+ | No log | 3.0 | 3 | 6.4006 |
62
+ | No log | 4.0 | 4 | 6.4006 |
63
+ | No log | 5.0 | 5 | 6.4006 |
64
+ | No log | 6.0 | 6 | 6.3986 |
65
+ | No log | 7.0 | 7 | 6.3959 |
66
+ | No log | 8.0 | 8 | 6.3931 |
67
+ | No log | 9.0 | 9 | 6.3782 |
68
+ | No log | 10.0 | 10 | 6.3632 |
69
+ | No log | 11.0 | 11 | 6.3527 |
70
+ | No log | 12.0 | 12 | 6.3211 |
71
+ | No log | 13.0 | 13 | 6.2838 |
72
+ | No log | 14.0 | 14 | 6.2423 |
73
+ | No log | 15.0 | 15 | 6.2010 |
74
+ | No log | 16.0 | 16 | 6.1537 |
75
+ | No log | 17.0 | 17 | 6.1190 |
76
+ | No log | 18.0 | 18 | 6.0642 |
77
+ | No log | 19.0 | 19 | 6.0178 |
78
+ | No log | 20.0 | 20 | 5.9691 |
79
+ | No log | 21.0 | 21 | 5.9257 |
80
+ | No log | 22.0 | 22 | 5.8809 |
81
+ | No log | 23.0 | 23 | 5.8292 |
82
+ | No log | 24.0 | 24 | 5.7777 |
83
+ | 6.7327 | 25.0 | 25 | 5.7303 |
84
+ | 6.7327 | 26.0 | 26 | 5.6739 |
85
+ | 6.7327 | 27.0 | 27 | 5.6210 |
86
+ | 6.7327 | 28.0 | 28 | 5.5624 |
87
+ | 6.7327 | 29.0 | 29 | 5.5025 |
88
+ | 6.7327 | 30.0 | 30 | 5.4445 |
89
+ | 6.7327 | 31.0 | 31 | 5.3814 |
90
+ | 6.7327 | 32.0 | 32 | 5.3206 |
91
+ | 6.7327 | 33.0 | 33 | 5.2617 |
92
+ | 6.7327 | 34.0 | 34 | 5.2036 |
93
+ | 6.7327 | 35.0 | 35 | 5.1422 |
94
+ | 6.7327 | 36.0 | 36 | 5.0764 |
95
+ | 6.7327 | 37.0 | 37 | 5.0193 |
96
+ | 6.7327 | 38.0 | 38 | 4.9537 |
97
+ | 6.7327 | 39.0 | 39 | 4.8884 |
98
+ | 6.7327 | 40.0 | 40 | 4.8221 |
99
+ | 6.7327 | 41.0 | 41 | 4.7580 |
100
+ | 6.7327 | 42.0 | 42 | 4.6963 |
101
+ | 6.7327 | 43.0 | 43 | 4.6376 |
102
+ | 6.7327 | 44.0 | 44 | 4.5762 |
103
+ | 6.7327 | 45.0 | 45 | 4.5220 |
104
+ | 6.7327 | 46.0 | 46 | 4.4687 |
105
+ | 6.7327 | 47.0 | 47 | 4.4162 |
106
+ | 6.7327 | 48.0 | 48 | 4.3698 |
107
+ | 6.7327 | 49.0 | 49 | 4.3203 |
108
+ | 5.2517 | 50.0 | 50 | 4.2743 |
109
+ | 5.2517 | 51.0 | 51 | 4.2283 |
110
+ | 5.2517 | 52.0 | 52 | 4.1788 |
111
+ | 5.2517 | 53.0 | 53 | 4.1300 |
112
+ | 5.2517 | 54.0 | 54 | 4.0796 |
113
+ | 5.2517 | 55.0 | 55 | 4.0311 |
114
+ | 5.2517 | 56.0 | 56 | 3.9810 |
115
+ | 5.2517 | 57.0 | 57 | 3.9310 |
116
+ | 5.2517 | 58.0 | 58 | 3.8865 |
117
+ | 5.2517 | 59.0 | 59 | 3.8385 |
118
+ | 5.2517 | 60.0 | 60 | 3.7945 |
119
+ | 5.2517 | 61.0 | 61 | 3.7523 |
120
+ | 5.2517 | 62.0 | 62 | 3.7092 |
121
+ | 5.2517 | 63.0 | 63 | 3.6649 |
122
+ | 5.2517 | 64.0 | 64 | 3.6169 |
123
+ | 5.2517 | 65.0 | 65 | 3.5726 |
124
+ | 5.2517 | 66.0 | 66 | 3.5229 |
125
+ | 5.2517 | 67.0 | 67 | 3.4758 |
126
+ | 5.2517 | 68.0 | 68 | 3.4288 |
127
+ | 5.2517 | 69.0 | 69 | 3.3785 |
128
+ | 5.2517 | 70.0 | 70 | 3.3324 |
129
+ | 5.2517 | 71.0 | 71 | 3.2825 |
130
+ | 5.2517 | 72.0 | 72 | 3.2360 |
131
+ | 5.2517 | 73.0 | 73 | 3.1891 |
132
+ | 5.2517 | 74.0 | 74 | 3.1395 |
133
+ | 3.6925 | 75.0 | 75 | 3.0923 |
134
+ | 3.6925 | 76.0 | 76 | 3.0462 |
135
+ | 3.6925 | 77.0 | 77 | 2.9978 |
136
+ | 3.6925 | 78.0 | 78 | 2.9504 |
137
+ | 3.6925 | 79.0 | 79 | 2.9017 |
138
+ | 3.6925 | 80.0 | 80 | 2.8556 |
139
+ | 3.6925 | 81.0 | 81 | 2.8076 |
140
+ | 3.6925 | 82.0 | 82 | 2.7623 |
141
+ | 3.6925 | 83.0 | 83 | 2.7168 |
142
+ | 3.6925 | 84.0 | 84 | 2.6698 |
143
+ | 3.6925 | 85.0 | 85 | 2.6239 |
144
+ | 3.6925 | 86.0 | 86 | 2.5783 |
145
+ | 3.6925 | 87.0 | 87 | 2.5324 |
146
+ | 3.6925 | 88.0 | 88 | 2.4860 |
147
+ | 3.6925 | 89.0 | 89 | 2.4418 |
148
+ | 3.6925 | 90.0 | 90 | 2.3981 |
149
+ | 3.6925 | 91.0 | 91 | 2.3525 |
150
+ | 3.6925 | 92.0 | 92 | 2.3080 |
151
+ | 3.6925 | 93.0 | 93 | 2.2622 |
152
+ | 3.6925 | 94.0 | 94 | 2.2183 |
153
+ | 3.6925 | 95.0 | 95 | 2.1733 |
154
+ | 3.6925 | 96.0 | 96 | 2.1270 |
155
+ | 3.6925 | 97.0 | 97 | 2.0812 |
156
+ | 3.6925 | 98.0 | 98 | 2.0354 |
157
+ | 3.6925 | 99.0 | 99 | 1.9909 |
158
+ | 2.4328 | 100.0 | 100 | 1.9459 |
159
+ | 2.4328 | 101.0 | 101 | 1.9001 |
160
+ | 2.4328 | 102.0 | 102 | 1.8566 |
161
+ | 2.4328 | 103.0 | 103 | 1.8128 |
162
+ | 2.4328 | 104.0 | 104 | 1.7672 |
163
+ | 2.4328 | 105.0 | 105 | 1.7220 |
164
+ | 2.4328 | 106.0 | 106 | 1.6780 |
165
+ | 2.4328 | 107.0 | 107 | 1.6362 |
166
+ | 2.4328 | 108.0 | 108 | 1.5916 |
167
+ | 2.4328 | 109.0 | 109 | 1.5497 |
168
+ | 2.4328 | 110.0 | 110 | 1.5068 |
169
+ | 2.4328 | 111.0 | 111 | 1.4659 |
170
+ | 2.4328 | 112.0 | 112 | 1.4247 |
171
+ | 2.4328 | 113.0 | 113 | 1.3846 |
172
+ | 2.4328 | 114.0 | 114 | 1.3469 |
173
+ | 2.4328 | 115.0 | 115 | 1.3076 |
174
+ | 2.4328 | 116.0 | 116 | 1.2729 |
175
+ | 2.4328 | 117.0 | 117 | 1.2383 |
176
+ | 2.4328 | 118.0 | 118 | 1.2047 |
177
+ | 2.4328 | 119.0 | 119 | 1.1730 |
178
+ | 2.4328 | 120.0 | 120 | 1.1424 |
179
+ | 2.4328 | 121.0 | 121 | 1.1125 |
180
+ | 2.4328 | 122.0 | 122 | 1.0834 |
181
+ | 2.4328 | 123.0 | 123 | 1.0540 |
182
+ | 2.4328 | 124.0 | 124 | 1.0248 |
183
+ | 1.3226 | 125.0 | 125 | 0.9955 |
184
+ | 1.3226 | 126.0 | 126 | 0.9676 |
185
+ | 1.3226 | 127.0 | 127 | 0.9394 |
186
+ | 1.3226 | 128.0 | 128 | 0.9118 |
187
+ | 1.3226 | 129.0 | 129 | 0.8822 |
188
+ | 1.3226 | 130.0 | 130 | 0.8546 |
189
+ | 1.3226 | 131.0 | 131 | 0.8247 |
190
+ | 1.3226 | 132.0 | 132 | 0.7962 |
191
+ | 1.3226 | 133.0 | 133 | 0.7679 |
192
+ | 1.3226 | 134.0 | 134 | 0.7372 |
193
+ | 1.3226 | 135.0 | 135 | 0.7086 |
194
+ | 1.3226 | 136.0 | 136 | 0.6795 |
195
+ | 1.3226 | 137.0 | 137 | 0.6490 |
196
+ | 1.3226 | 138.0 | 138 | 0.6197 |
197
+ | 1.3226 | 139.0 | 139 | 0.5895 |
198
+ | 1.3226 | 140.0 | 140 | 0.5598 |
199
+ | 1.3226 | 141.0 | 141 | 0.5287 |
200
+ | 1.3226 | 142.0 | 142 | 0.4987 |
201
+ | 1.3226 | 143.0 | 143 | 0.4695 |
202
+ | 1.3226 | 144.0 | 144 | 0.4401 |
203
+ | 1.3226 | 145.0 | 145 | 0.4096 |
204
+ | 1.3226 | 146.0 | 146 | 0.3809 |
205
+ | 1.3226 | 147.0 | 147 | 0.3521 |
206
+ | 1.3226 | 148.0 | 148 | 0.3234 |
207
+ | 1.3226 | 149.0 | 149 | 0.2959 |
208
+ | 0.5038 | 150.0 | 150 | 0.2715 |
209
+ | 0.5038 | 151.0 | 151 | 0.2460 |
210
+ | 0.5038 | 152.0 | 152 | 0.2237 |
211
+ | 0.5038 | 153.0 | 153 | 0.2031 |
212
+ | 0.5038 | 154.0 | 154 | 0.1838 |
213
+ | 0.5038 | 155.0 | 155 | 0.1669 |
214
+ | 0.5038 | 156.0 | 156 | 0.1523 |
215
+ | 0.5038 | 157.0 | 157 | 0.1392 |
216
+ | 0.5038 | 158.0 | 158 | 0.1281 |
217
+ | 0.5038 | 159.0 | 159 | 0.1185 |
218
+ | 0.5038 | 160.0 | 160 | 0.1101 |
219
+ | 0.5038 | 161.0 | 161 | 0.1020 |
220
+ | 0.5038 | 162.0 | 162 | 0.0949 |
221
+ | 0.5038 | 163.0 | 163 | 0.0887 |
222
+ | 0.5038 | 164.0 | 164 | 0.0828 |
223
+ | 0.5038 | 165.0 | 165 | 0.0775 |
224
+ | 0.5038 | 166.0 | 166 | 0.0729 |
225
+ | 0.5038 | 167.0 | 167 | 0.0684 |
226
+ | 0.5038 | 168.0 | 168 | 0.0646 |
227
+ | 0.5038 | 169.0 | 169 | 0.0606 |
228
+ | 0.5038 | 170.0 | 170 | 0.0569 |
229
+ | 0.5038 | 171.0 | 171 | 0.0537 |
230
+ | 0.5038 | 172.0 | 172 | 0.0506 |
231
+ | 0.5038 | 173.0 | 173 | 0.0480 |
232
+ | 0.5038 | 174.0 | 174 | 0.0455 |
233
+ | 0.0905 | 175.0 | 175 | 0.0431 |
234
+ | 0.0905 | 176.0 | 176 | 0.0409 |
235
+ | 0.0905 | 177.0 | 177 | 0.0388 |
236
+ | 0.0905 | 178.0 | 178 | 0.0371 |
237
+ | 0.0905 | 179.0 | 179 | 0.0353 |
238
+ | 0.0905 | 180.0 | 180 | 0.0338 |
239
+ | 0.0905 | 181.0 | 181 | 0.0323 |
240
+ | 0.0905 | 182.0 | 182 | 0.0309 |
241
+ | 0.0905 | 183.0 | 183 | 0.0297 |
242
+ | 0.0905 | 184.0 | 184 | 0.0284 |
243
+ | 0.0905 | 185.0 | 185 | 0.0275 |
244
+ | 0.0905 | 186.0 | 186 | 0.0264 |
245
+ | 0.0905 | 187.0 | 187 | 0.0254 |
246
+ | 0.0905 | 188.0 | 188 | 0.0245 |
247
+ | 0.0905 | 189.0 | 189 | 0.0236 |
248
+ | 0.0905 | 190.0 | 190 | 0.0229 |
249
+ | 0.0905 | 191.0 | 191 | 0.0222 |
250
+ | 0.0905 | 192.0 | 192 | 0.0215 |
251
+ | 0.0905 | 193.0 | 193 | 0.0209 |
252
+ | 0.0905 | 194.0 | 194 | 0.0204 |
253
+ | 0.0905 | 195.0 | 195 | 0.0198 |
254
+ | 0.0905 | 196.0 | 196 | 0.0193 |
255
+ | 0.0905 | 197.0 | 197 | 0.0188 |
256
+ | 0.0905 | 198.0 | 198 | 0.0184 |
257
+ | 0.0905 | 199.0 | 199 | 0.0180 |
258
+ | 0.022 | 200.0 | 200 | 0.0175 |
259
+ | 0.022 | 201.0 | 201 | 0.0172 |
260
+ | 0.022 | 202.0 | 202 | 0.0168 |
261
+ | 0.022 | 203.0 | 203 | 0.0164 |
262
+ | 0.022 | 204.0 | 204 | 0.0161 |
263
+ | 0.022 | 205.0 | 205 | 0.0158 |
264
+ | 0.022 | 206.0 | 206 | 0.0155 |
265
+ | 0.022 | 207.0 | 207 | 0.0152 |
266
+ | 0.022 | 208.0 | 208 | 0.0149 |
267
+ | 0.022 | 209.0 | 209 | 0.0146 |
268
+ | 0.022 | 210.0 | 210 | 0.0144 |
269
+ | 0.022 | 211.0 | 211 | 0.0141 |
270
+ | 0.022 | 212.0 | 212 | 0.0138 |
271
+ | 0.022 | 213.0 | 213 | 0.0136 |
272
+ | 0.022 | 214.0 | 214 | 0.0134 |
273
+ | 0.022 | 215.0 | 215 | 0.0132 |
274
+ | 0.022 | 216.0 | 216 | 0.0130 |
275
+ | 0.022 | 217.0 | 217 | 0.0127 |
276
+ | 0.022 | 218.0 | 218 | 0.0126 |
277
+ | 0.022 | 219.0 | 219 | 0.0123 |
278
+ | 0.022 | 220.0 | 220 | 0.0122 |
279
+ | 0.022 | 221.0 | 221 | 0.0120 |
280
+ | 0.022 | 222.0 | 222 | 0.0118 |
281
+ | 0.022 | 223.0 | 223 | 0.0117 |
282
+ | 0.022 | 224.0 | 224 | 0.0115 |
283
+ | 0.0114 | 225.0 | 225 | 0.0114 |
284
+ | 0.0114 | 226.0 | 226 | 0.0113 |
285
+ | 0.0114 | 227.0 | 227 | 0.0111 |
286
+ | 0.0114 | 228.0 | 228 | 0.0110 |
287
+ | 0.0114 | 229.0 | 229 | 0.0108 |
288
+ | 0.0114 | 230.0 | 230 | 0.0107 |
289
+ | 0.0114 | 231.0 | 231 | 0.0105 |
290
+ | 0.0114 | 232.0 | 232 | 0.0105 |
291
+ | 0.0114 | 233.0 | 233 | 0.0103 |
292
+ | 0.0114 | 234.0 | 234 | 0.0102 |
293
+ | 0.0114 | 235.0 | 235 | 0.0101 |
294
+ | 0.0114 | 236.0 | 236 | 0.0100 |
295
+ | 0.0114 | 237.0 | 237 | 0.0099 |
296
+ | 0.0114 | 238.0 | 238 | 0.0098 |
297
+ | 0.0114 | 239.0 | 239 | 0.0097 |
298
+ | 0.0114 | 240.0 | 240 | 0.0096 |
299
+ | 0.0114 | 241.0 | 241 | 0.0095 |
300
+ | 0.0114 | 242.0 | 242 | 0.0094 |
301
+ | 0.0114 | 243.0 | 243 | 0.0093 |
302
+ | 0.0114 | 244.0 | 244 | 0.0092 |
303
+ | 0.0114 | 245.0 | 245 | 0.0091 |
304
+ | 0.0114 | 246.0 | 246 | 0.0090 |
305
+ | 0.0114 | 247.0 | 247 | 0.0089 |
306
+ | 0.0114 | 248.0 | 248 | 0.0088 |
307
+ | 0.0114 | 249.0 | 249 | 0.0087 |
308
+ | 0.008 | 250.0 | 250 | 0.0087 |
309
+ | 0.008 | 251.0 | 251 | 0.0086 |
310
+ | 0.008 | 252.0 | 252 | 0.0085 |
311
+ | 0.008 | 253.0 | 253 | 0.0084 |
312
+ | 0.008 | 254.0 | 254 | 0.0083 |
313
+ | 0.008 | 255.0 | 255 | 0.0083 |
314
+ | 0.008 | 256.0 | 256 | 0.0082 |
315
+ | 0.008 | 257.0 | 257 | 0.0082 |
316
+ | 0.008 | 258.0 | 258 | 0.0081 |
317
+ | 0.008 | 259.0 | 259 | 0.0080 |
318
+ | 0.008 | 260.0 | 260 | 0.0079 |
319
+ | 0.008 | 261.0 | 261 | 0.0078 |
320
+ | 0.008 | 262.0 | 262 | 0.0078 |
321
+ | 0.008 | 263.0 | 263 | 0.0077 |
322
+ | 0.008 | 264.0 | 264 | 0.0077 |
323
+ | 0.008 | 265.0 | 265 | 0.0076 |
324
+ | 0.008 | 266.0 | 266 | 0.0075 |
325
+ | 0.008 | 267.0 | 267 | 0.0075 |
326
+ | 0.008 | 268.0 | 268 | 0.0074 |
327
+ | 0.008 | 269.0 | 269 | 0.0073 |
328
+ | 0.008 | 270.0 | 270 | 0.0073 |
329
+ | 0.008 | 271.0 | 271 | 0.0072 |
330
+ | 0.008 | 272.0 | 272 | 0.0072 |
331
+ | 0.008 | 273.0 | 273 | 0.0071 |
332
+ | 0.008 | 274.0 | 274 | 0.0071 |
333
+ | 0.0063 | 275.0 | 275 | 0.0070 |
334
+ | 0.0063 | 276.0 | 276 | 0.0069 |
335
+ | 0.0063 | 277.0 | 277 | 0.0069 |
336
+ | 0.0063 | 278.0 | 278 | 0.0069 |
337
+ | 0.0063 | 279.0 | 279 | 0.0068 |
338
+ | 0.0063 | 280.0 | 280 | 0.0067 |
339
+ | 0.0063 | 281.0 | 281 | 0.0067 |
340
+ | 0.0063 | 282.0 | 282 | 0.0066 |
341
+ | 0.0063 | 283.0 | 283 | 0.0066 |
342
+ | 0.0063 | 284.0 | 284 | 0.0065 |
343
+ | 0.0063 | 285.0 | 285 | 0.0065 |
344
+ | 0.0063 | 286.0 | 286 | 0.0065 |
345
+ | 0.0063 | 287.0 | 287 | 0.0064 |
346
+ | 0.0063 | 288.0 | 288 | 0.0064 |
347
+ | 0.0063 | 289.0 | 289 | 0.0063 |
348
+ | 0.0063 | 290.0 | 290 | 0.0063 |
349
+ | 0.0063 | 291.0 | 291 | 0.0062 |
350
+ | 0.0063 | 292.0 | 292 | 0.0062 |
351
+ | 0.0063 | 293.0 | 293 | 0.0061 |
352
+ | 0.0063 | 294.0 | 294 | 0.0061 |
353
+ | 0.0063 | 295.0 | 295 | 0.0061 |
354
+ | 0.0063 | 296.0 | 296 | 0.0060 |
355
+ | 0.0063 | 297.0 | 297 | 0.0060 |
356
+ | 0.0063 | 298.0 | 298 | 0.0060 |
357
+ | 0.0063 | 299.0 | 299 | 0.0059 |
358
+ | 0.0052 | 300.0 | 300 | 0.0059 |
359
+ | 0.0052 | 301.0 | 301 | 0.0058 |
360
+ | 0.0052 | 302.0 | 302 | 0.0058 |
361
+ | 0.0052 | 303.0 | 303 | 0.0058 |
362
+ | 0.0052 | 304.0 | 304 | 0.0057 |
363
+ | 0.0052 | 305.0 | 305 | 0.0057 |
364
+ | 0.0052 | 306.0 | 306 | 0.0057 |
365
+ | 0.0052 | 307.0 | 307 | 0.0056 |
366
+ | 0.0052 | 308.0 | 308 | 0.0056 |
367
+ | 0.0052 | 309.0 | 309 | 0.0056 |
368
+ | 0.0052 | 310.0 | 310 | 0.0055 |
369
+ | 0.0052 | 311.0 | 311 | 0.0055 |
370
+ | 0.0052 | 312.0 | 312 | 0.0055 |
371
+ | 0.0052 | 313.0 | 313 | 0.0054 |
372
+ | 0.0052 | 314.0 | 314 | 0.0054 |
373
+ | 0.0052 | 315.0 | 315 | 0.0054 |
374
+ | 0.0052 | 316.0 | 316 | 0.0053 |
375
+ | 0.0052 | 317.0 | 317 | 0.0053 |
376
+ | 0.0052 | 318.0 | 318 | 0.0053 |
377
+ | 0.0052 | 319.0 | 319 | 0.0052 |
378
+ | 0.0052 | 320.0 | 320 | 0.0052 |
379
+ | 0.0052 | 321.0 | 321 | 0.0052 |
380
+ | 0.0052 | 322.0 | 322 | 0.0052 |
381
+ | 0.0052 | 323.0 | 323 | 0.0051 |
382
+ | 0.0052 | 324.0 | 324 | 0.0051 |
383
+ | 0.0044 | 325.0 | 325 | 0.0051 |
384
+ | 0.0044 | 326.0 | 326 | 0.0050 |
385
+ | 0.0044 | 327.0 | 327 | 0.0050 |
386
+ | 0.0044 | 328.0 | 328 | 0.0050 |
387
+ | 0.0044 | 329.0 | 329 | 0.0050 |
388
+ | 0.0044 | 330.0 | 330 | 0.0049 |
389
+ | 0.0044 | 331.0 | 331 | 0.0049 |
390
+ | 0.0044 | 332.0 | 332 | 0.0049 |
391
+ | 0.0044 | 333.0 | 333 | 0.0048 |
392
+ | 0.0044 | 334.0 | 334 | 0.0048 |
393
+ | 0.0044 | 335.0 | 335 | 0.0048 |
394
+ | 0.0044 | 336.0 | 336 | 0.0048 |
395
+ | 0.0044 | 337.0 | 337 | 0.0047 |
396
+ | 0.0044 | 338.0 | 338 | 0.0047 |
397
+ | 0.0044 | 339.0 | 339 | 0.0047 |
398
+ | 0.0044 | 340.0 | 340 | 0.0047 |
399
+ | 0.0044 | 341.0 | 341 | 0.0047 |
400
+ | 0.0044 | 342.0 | 342 | 0.0046 |
401
+ | 0.0044 | 343.0 | 343 | 0.0046 |
402
+ | 0.0044 | 344.0 | 344 | 0.0046 |
403
+ | 0.0044 | 345.0 | 345 | 0.0046 |
404
+ | 0.0044 | 346.0 | 346 | 0.0046 |
405
+ | 0.0044 | 347.0 | 347 | 0.0045 |
406
+ | 0.0044 | 348.0 | 348 | 0.0045 |
407
+ | 0.0044 | 349.0 | 349 | 0.0045 |
408
+ | 0.0038 | 350.0 | 350 | 0.0045 |
409
+ | 0.0038 | 351.0 | 351 | 0.0044 |
410
+ | 0.0038 | 352.0 | 352 | 0.0044 |
411
+ | 0.0038 | 353.0 | 353 | 0.0044 |
412
+ | 0.0038 | 354.0 | 354 | 0.0044 |
413
+ | 0.0038 | 355.0 | 355 | 0.0044 |
414
+ | 0.0038 | 356.0 | 356 | 0.0043 |
415
+ | 0.0038 | 357.0 | 357 | 0.0043 |
416
+ | 0.0038 | 358.0 | 358 | 0.0043 |
417
+ | 0.0038 | 359.0 | 359 | 0.0043 |
418
+ | 0.0038 | 360.0 | 360 | 0.0043 |
419
+ | 0.0038 | 361.0 | 361 | 0.0042 |
420
+ | 0.0038 | 362.0 | 362 | 0.0042 |
421
+ | 0.0038 | 363.0 | 363 | 0.0042 |
422
+ | 0.0038 | 364.0 | 364 | 0.0042 |
423
+ | 0.0038 | 365.0 | 365 | 0.0041 |
424
+ | 0.0038 | 366.0 | 366 | 0.0041 |
425
+ | 0.0038 | 367.0 | 367 | 0.0041 |
426
+ | 0.0038 | 368.0 | 368 | 0.0041 |
427
+ | 0.0038 | 369.0 | 369 | 0.0041 |
428
+ | 0.0038 | 370.0 | 370 | 0.0041 |
429
+ | 0.0038 | 371.0 | 371 | 0.0040 |
430
+ | 0.0038 | 372.0 | 372 | 0.0040 |
431
+ | 0.0038 | 373.0 | 373 | 0.0040 |
432
+ | 0.0038 | 374.0 | 374 | 0.0040 |
433
+ | 0.0034 | 375.0 | 375 | 0.0040 |
434
+ | 0.0034 | 376.0 | 376 | 0.0039 |
435
+ | 0.0034 | 377.0 | 377 | 0.0039 |
436
+ | 0.0034 | 378.0 | 378 | 0.0039 |
437
+ | 0.0034 | 379.0 | 379 | 0.0039 |
438
+ | 0.0034 | 380.0 | 380 | 0.0039 |
439
+ | 0.0034 | 381.0 | 381 | 0.0039 |
440
+ | 0.0034 | 382.0 | 382 | 0.0038 |
441
+ | 0.0034 | 383.0 | 383 | 0.0038 |
442
+ | 0.0034 | 384.0 | 384 | 0.0038 |
443
+ | 0.0034 | 385.0 | 385 | 0.0038 |
444
+ | 0.0034 | 386.0 | 386 | 0.0038 |
445
+ | 0.0034 | 387.0 | 387 | 0.0038 |
446
+ | 0.0034 | 388.0 | 388 | 0.0038 |
447
+ | 0.0034 | 389.0 | 389 | 0.0038 |
448
+ | 0.0034 | 390.0 | 390 | 0.0037 |
449
+ | 0.0034 | 391.0 | 391 | 0.0037 |
450
+ | 0.0034 | 392.0 | 392 | 0.0037 |
451
+ | 0.0034 | 393.0 | 393 | 0.0037 |
452
+ | 0.0034 | 394.0 | 394 | 0.0037 |
453
+ | 0.0034 | 395.0 | 395 | 0.0036 |
454
+ | 0.0034 | 396.0 | 396 | 0.0036 |
455
+ | 0.0034 | 397.0 | 397 | 0.0036 |
456
+ | 0.0034 | 398.0 | 398 | 0.0036 |
457
+ | 0.0034 | 399.0 | 399 | 0.0036 |
458
+ | 0.003 | 400.0 | 400 | 0.0036 |
459
+ | 0.003 | 401.0 | 401 | 0.0036 |
460
+ | 0.003 | 402.0 | 402 | 0.0035 |
461
+ | 0.003 | 403.0 | 403 | 0.0035 |
462
+ | 0.003 | 404.0 | 404 | 0.0035 |
463
+ | 0.003 | 405.0 | 405 | 0.0035 |
464
+ | 0.003 | 406.0 | 406 | 0.0035 |
465
+ | 0.003 | 407.0 | 407 | 0.0035 |
466
+ | 0.003 | 408.0 | 408 | 0.0035 |
467
+ | 0.003 | 409.0 | 409 | 0.0034 |
468
+ | 0.003 | 410.0 | 410 | 0.0034 |
469
+ | 0.003 | 411.0 | 411 | 0.0034 |
470
+ | 0.003 | 412.0 | 412 | 0.0034 |
471
+ | 0.003 | 413.0 | 413 | 0.0034 |
472
+ | 0.003 | 414.0 | 414 | 0.0034 |
473
+ | 0.003 | 415.0 | 415 | 0.0034 |
474
+ | 0.003 | 416.0 | 416 | 0.0034 |
475
+ | 0.003 | 417.0 | 417 | 0.0033 |
476
+ | 0.003 | 418.0 | 418 | 0.0033 |
477
+ | 0.003 | 419.0 | 419 | 0.0033 |
478
+ | 0.003 | 420.0 | 420 | 0.0033 |
479
+ | 0.003 | 421.0 | 421 | 0.0033 |
480
+ | 0.003 | 422.0 | 422 | 0.0033 |
481
+ | 0.003 | 423.0 | 423 | 0.0033 |
482
+ | 0.003 | 424.0 | 424 | 0.0033 |
483
+ | 0.0028 | 425.0 | 425 | 0.0032 |
484
+ | 0.0028 | 426.0 | 426 | 0.0032 |
485
+ | 0.0028 | 427.0 | 427 | 0.0032 |
486
+ | 0.0028 | 428.0 | 428 | 0.0032 |
487
+ | 0.0028 | 429.0 | 429 | 0.0032 |
488
+ | 0.0028 | 430.0 | 430 | 0.0032 |
489
+ | 0.0028 | 431.0 | 431 | 0.0032 |
490
+ | 0.0028 | 432.0 | 432 | 0.0032 |
491
+ | 0.0028 | 433.0 | 433 | 0.0032 |
492
+ | 0.0028 | 434.0 | 434 | 0.0031 |
493
+ | 0.0028 | 435.0 | 435 | 0.0031 |
494
+ | 0.0028 | 436.0 | 436 | 0.0031 |
495
+ | 0.0028 | 437.0 | 437 | 0.0031 |
496
+ | 0.0028 | 438.0 | 438 | 0.0031 |
497
+ | 0.0028 | 439.0 | 439 | 0.0031 |
498
+ | 0.0028 | 440.0 | 440 | 0.0031 |
499
+ | 0.0028 | 441.0 | 441 | 0.0031 |
500
+ | 0.0028 | 442.0 | 442 | 0.0031 |
501
+ | 0.0028 | 443.0 | 443 | 0.0030 |
502
+ | 0.0028 | 444.0 | 444 | 0.0030 |
503
+ | 0.0028 | 445.0 | 445 | 0.0030 |
504
+ | 0.0028 | 446.0 | 446 | 0.0030 |
505
+ | 0.0028 | 447.0 | 447 | 0.0030 |
506
+ | 0.0028 | 448.0 | 448 | 0.0030 |
507
+ | 0.0028 | 449.0 | 449 | 0.0030 |
508
+ | 0.0025 | 450.0 | 450 | 0.0030 |
509
+ | 0.0025 | 451.0 | 451 | 0.0030 |
510
+ | 0.0025 | 452.0 | 452 | 0.0030 |
511
+ | 0.0025 | 453.0 | 453 | 0.0029 |
512
+ | 0.0025 | 454.0 | 454 | 0.0029 |
513
+ | 0.0025 | 455.0 | 455 | 0.0029 |
514
+ | 0.0025 | 456.0 | 456 | 0.0029 |
515
+ | 0.0025 | 457.0 | 457 | 0.0029 |
516
+ | 0.0025 | 458.0 | 458 | 0.0029 |
517
+ | 0.0025 | 459.0 | 459 | 0.0029 |
518
+ | 0.0025 | 460.0 | 460 | 0.0029 |
519
+ | 0.0025 | 461.0 | 461 | 0.0029 |
520
+ | 0.0025 | 462.0 | 462 | 0.0029 |
521
+ | 0.0025 | 463.0 | 463 | 0.0028 |
522
+ | 0.0025 | 464.0 | 464 | 0.0028 |
523
+ | 0.0025 | 465.0 | 465 | 0.0028 |
524
+ | 0.0025 | 466.0 | 466 | 0.0028 |
525
+ | 0.0025 | 467.0 | 467 | 0.0028 |
526
+ | 0.0025 | 468.0 | 468 | 0.0028 |
527
+ | 0.0025 | 469.0 | 469 | 0.0028 |
528
+ | 0.0025 | 470.0 | 470 | 0.0028 |
529
+ | 0.0025 | 471.0 | 471 | 0.0028 |
530
+ | 0.0025 | 472.0 | 472 | 0.0028 |
531
+ | 0.0025 | 473.0 | 473 | 0.0028 |
532
+ | 0.0025 | 474.0 | 474 | 0.0028 |
533
+ | 0.0023 | 475.0 | 475 | 0.0027 |
534
+ | 0.0023 | 476.0 | 476 | 0.0027 |
535
+ | 0.0023 | 477.0 | 477 | 0.0027 |
536
+ | 0.0023 | 478.0 | 478 | 0.0027 |
537
+ | 0.0023 | 479.0 | 479 | 0.0027 |
538
+ | 0.0023 | 480.0 | 480 | 0.0027 |
539
+ | 0.0023 | 481.0 | 481 | 0.0027 |
540
+ | 0.0023 | 482.0 | 482 | 0.0027 |
541
+ | 0.0023 | 483.0 | 483 | 0.0027 |
542
+ | 0.0023 | 484.0 | 484 | 0.0027 |
543
+ | 0.0023 | 485.0 | 485 | 0.0027 |
544
+ | 0.0023 | 486.0 | 486 | 0.0027 |
545
+ | 0.0023 | 487.0 | 487 | 0.0027 |
546
+ | 0.0023 | 488.0 | 488 | 0.0026 |
547
+ | 0.0023 | 489.0 | 489 | 0.0026 |
548
+ | 0.0023 | 490.0 | 490 | 0.0026 |
549
+ | 0.0023 | 491.0 | 491 | 0.0026 |
550
+ | 0.0023 | 492.0 | 492 | 0.0026 |
551
+ | 0.0023 | 493.0 | 493 | 0.0026 |
552
+ | 0.0023 | 494.0 | 494 | 0.0026 |
553
+ | 0.0023 | 495.0 | 495 | 0.0026 |
554
+ | 0.0023 | 496.0 | 496 | 0.0026 |
555
+ | 0.0023 | 497.0 | 497 | 0.0026 |
556
+ | 0.0023 | 498.0 | 498 | 0.0026 |
557
+ | 0.0023 | 499.0 | 499 | 0.0026 |
558
+ | 0.0022 | 500.0 | 500 | 0.0026 |
559
+ | 0.0022 | 501.0 | 501 | 0.0025 |
560
+ | 0.0022 | 502.0 | 502 | 0.0025 |
561
+ | 0.0022 | 503.0 | 503 | 0.0025 |
562
+ | 0.0022 | 504.0 | 504 | 0.0025 |
563
+ | 0.0022 | 505.0 | 505 | 0.0025 |
564
+ | 0.0022 | 506.0 | 506 | 0.0025 |
565
+ | 0.0022 | 507.0 | 507 | 0.0025 |
566
+ | 0.0022 | 508.0 | 508 | 0.0025 |
567
+ | 0.0022 | 509.0 | 509 | 0.0025 |
568
+ | 0.0022 | 510.0 | 510 | 0.0025 |
569
+ | 0.0022 | 511.0 | 511 | 0.0025 |
570
+ | 0.0022 | 512.0 | 512 | 0.0025 |
571
+ | 0.0022 | 513.0 | 513 | 0.0025 |
572
+ | 0.0022 | 514.0 | 514 | 0.0024 |
573
+ | 0.0022 | 515.0 | 515 | 0.0024 |
574
+ | 0.0022 | 516.0 | 516 | 0.0024 |
575
+ | 0.0022 | 517.0 | 517 | 0.0024 |
576
+ | 0.0022 | 518.0 | 518 | 0.0024 |
577
+ | 0.0022 | 519.0 | 519 | 0.0024 |
578
+ | 0.0022 | 520.0 | 520 | 0.0024 |
579
+ | 0.0022 | 521.0 | 521 | 0.0024 |
580
+ | 0.0022 | 522.0 | 522 | 0.0024 |
581
+ | 0.0022 | 523.0 | 523 | 0.0024 |
582
+ | 0.0022 | 524.0 | 524 | 0.0024 |
583
+ | 0.002 | 525.0 | 525 | 0.0024 |
584
+ | 0.002 | 526.0 | 526 | 0.0024 |
585
+ | 0.002 | 527.0 | 527 | 0.0024 |
586
+ | 0.002 | 528.0 | 528 | 0.0024 |
587
+ | 0.002 | 529.0 | 529 | 0.0024 |
588
+ | 0.002 | 530.0 | 530 | 0.0024 |
589
+ | 0.002 | 531.0 | 531 | 0.0024 |
590
+ | 0.002 | 532.0 | 532 | 0.0024 |
591
+ | 0.002 | 533.0 | 533 | 0.0023 |
592
+ | 0.002 | 534.0 | 534 | 0.0023 |
593
+ | 0.002 | 535.0 | 535 | 0.0023 |
594
+ | 0.002 | 536.0 | 536 | 0.0023 |
595
+ | 0.002 | 537.0 | 537 | 0.0023 |
596
+ | 0.002 | 538.0 | 538 | 0.0023 |
597
+ | 0.002 | 539.0 | 539 | 0.0023 |
598
+ | 0.002 | 540.0 | 540 | 0.0023 |
599
+ | 0.002 | 541.0 | 541 | 0.0023 |
600
+ | 0.002 | 542.0 | 542 | 0.0023 |
601
+ | 0.002 | 543.0 | 543 | 0.0023 |
602
+ | 0.002 | 544.0 | 544 | 0.0023 |
603
+ | 0.002 | 545.0 | 545 | 0.0023 |
604
+ | 0.002 | 546.0 | 546 | 0.0023 |
605
+ | 0.002 | 547.0 | 547 | 0.0023 |
606
+ | 0.002 | 548.0 | 548 | 0.0023 |
607
+ | 0.002 | 549.0 | 549 | 0.0023 |
608
+ | 0.0019 | 550.0 | 550 | 0.0023 |
609
+ | 0.0019 | 551.0 | 551 | 0.0022 |
610
+ | 0.0019 | 552.0 | 552 | 0.0022 |
611
+ | 0.0019 | 553.0 | 553 | 0.0022 |
612
+ | 0.0019 | 554.0 | 554 | 0.0022 |
613
+ | 0.0019 | 555.0 | 555 | 0.0022 |
614
+ | 0.0019 | 556.0 | 556 | 0.0022 |
615
+ | 0.0019 | 557.0 | 557 | 0.0022 |
616
+ | 0.0019 | 558.0 | 558 | 0.0022 |
617
+ | 0.0019 | 559.0 | 559 | 0.0022 |
618
+ | 0.0019 | 560.0 | 560 | 0.0022 |
619
+ | 0.0019 | 561.0 | 561 | 0.0022 |
620
+ | 0.0019 | 562.0 | 562 | 0.0022 |
621
+ | 0.0019 | 563.0 | 563 | 0.0022 |
622
+ | 0.0019 | 564.0 | 564 | 0.0022 |
623
+ | 0.0019 | 565.0 | 565 | 0.0022 |
624
+ | 0.0019 | 566.0 | 566 | 0.0022 |
625
+ | 0.0019 | 567.0 | 567 | 0.0022 |
626
+ | 0.0019 | 568.0 | 568 | 0.0022 |
627
+ | 0.0019 | 569.0 | 569 | 0.0021 |
628
+ | 0.0019 | 570.0 | 570 | 0.0022 |
629
+ | 0.0019 | 571.0 | 571 | 0.0021 |
630
+ | 0.0019 | 572.0 | 572 | 0.0021 |
631
+ | 0.0019 | 573.0 | 573 | 0.0021 |
632
+ | 0.0019 | 574.0 | 574 | 0.0021 |
633
+ | 0.0018 | 575.0 | 575 | 0.0021 |
634
+ | 0.0018 | 576.0 | 576 | 0.0021 |
635
+ | 0.0018 | 577.0 | 577 | 0.0021 |
636
+ | 0.0018 | 578.0 | 578 | 0.0021 |
637
+ | 0.0018 | 579.0 | 579 | 0.0021 |
638
+ | 0.0018 | 580.0 | 580 | 0.0021 |
639
+ | 0.0018 | 581.0 | 581 | 0.0021 |
640
+ | 0.0018 | 582.0 | 582 | 0.0021 |
641
+ | 0.0018 | 583.0 | 583 | 0.0021 |
642
+ | 0.0018 | 584.0 | 584 | 0.0021 |
643
+ | 0.0018 | 585.0 | 585 | 0.0021 |
644
+ | 0.0018 | 586.0 | 586 | 0.0021 |
645
+ | 0.0018 | 587.0 | 587 | 0.0021 |
646
+ | 0.0018 | 588.0 | 588 | 0.0021 |
647
+ | 0.0018 | 589.0 | 589 | 0.0021 |
648
+ | 0.0018 | 590.0 | 590 | 0.0021 |
649
+ | 0.0018 | 591.0 | 591 | 0.0020 |
650
+ | 0.0018 | 592.0 | 592 | 0.0020 |
651
+ | 0.0018 | 593.0 | 593 | 0.0021 |
652
+ | 0.0018 | 594.0 | 594 | 0.0020 |
653
+ | 0.0018 | 595.0 | 595 | 0.0020 |
654
+ | 0.0018 | 596.0 | 596 | 0.0020 |
655
+ | 0.0018 | 597.0 | 597 | 0.0020 |
656
+ | 0.0018 | 598.0 | 598 | 0.0020 |
657
+ | 0.0018 | 599.0 | 599 | 0.0020 |
658
+ | 0.0017 | 600.0 | 600 | 0.0020 |
659
+ | 0.0017 | 601.0 | 601 | 0.0020 |
660
+ | 0.0017 | 602.0 | 602 | 0.0020 |
661
+ | 0.0017 | 603.0 | 603 | 0.0020 |
662
+ | 0.0017 | 604.0 | 604 | 0.0020 |
663
+ | 0.0017 | 605.0 | 605 | 0.0020 |
664
+ | 0.0017 | 606.0 | 606 | 0.0020 |
665
+ | 0.0017 | 607.0 | 607 | 0.0020 |
666
+ | 0.0017 | 608.0 | 608 | 0.0020 |
667
+ | 0.0017 | 609.0 | 609 | 0.0020 |
668
+ | 0.0017 | 610.0 | 610 | 0.0020 |
669
+ | 0.0017 | 611.0 | 611 | 0.0020 |
670
+ | 0.0017 | 612.0 | 612 | 0.0020 |
671
+ | 0.0017 | 613.0 | 613 | 0.0020 |
672
+ | 0.0017 | 614.0 | 614 | 0.0020 |
673
+ | 0.0017 | 615.0 | 615 | 0.0020 |
674
+ | 0.0017 | 616.0 | 616 | 0.0020 |
675
+ | 0.0017 | 617.0 | 617 | 0.0020 |
676
+ | 0.0017 | 618.0 | 618 | 0.0020 |
677
+ | 0.0017 | 619.0 | 619 | 0.0019 |
678
+ | 0.0017 | 620.0 | 620 | 0.0019 |
679
+ | 0.0017 | 621.0 | 621 | 0.0019 |
680
+ | 0.0017 | 622.0 | 622 | 0.0019 |
681
+ | 0.0017 | 623.0 | 623 | 0.0019 |
682
+ | 0.0017 | 624.0 | 624 | 0.0019 |
683
+ | 0.0016 | 625.0 | 625 | 0.0019 |
684
+ | 0.0016 | 626.0 | 626 | 0.0019 |
685
+ | 0.0016 | 627.0 | 627 | 0.0019 |
686
+ | 0.0016 | 628.0 | 628 | 0.0019 |
687
+ | 0.0016 | 629.0 | 629 | 0.0019 |
688
+ | 0.0016 | 630.0 | 630 | 0.0019 |
689
+ | 0.0016 | 631.0 | 631 | 0.0019 |
690
+ | 0.0016 | 632.0 | 632 | 0.0019 |
691
+ | 0.0016 | 633.0 | 633 | 0.0019 |
692
+ | 0.0016 | 634.0 | 634 | 0.0019 |
693
+ | 0.0016 | 635.0 | 635 | 0.0019 |
694
+ | 0.0016 | 636.0 | 636 | 0.0019 |
695
+ | 0.0016 | 637.0 | 637 | 0.0019 |
696
+ | 0.0016 | 638.0 | 638 | 0.0019 |
697
+ | 0.0016 | 639.0 | 639 | 0.0019 |
698
+ | 0.0016 | 640.0 | 640 | 0.0019 |
699
+ | 0.0016 | 641.0 | 641 | 0.0019 |
700
+ | 0.0016 | 642.0 | 642 | 0.0019 |
701
+ | 0.0016 | 643.0 | 643 | 0.0019 |
702
+ | 0.0016 | 644.0 | 644 | 0.0019 |
703
+ | 0.0016 | 645.0 | 645 | 0.0019 |
704
+ | 0.0016 | 646.0 | 646 | 0.0019 |
705
+ | 0.0016 | 647.0 | 647 | 0.0019 |
706
+ | 0.0016 | 648.0 | 648 | 0.0019 |
707
+ | 0.0016 | 649.0 | 649 | 0.0018 |
708
+ | 0.0015 | 650.0 | 650 | 0.0019 |
709
+ | 0.0015 | 651.0 | 651 | 0.0018 |
710
+ | 0.0015 | 652.0 | 652 | 0.0018 |
711
+ | 0.0015 | 653.0 | 653 | 0.0018 |
712
+ | 0.0015 | 654.0 | 654 | 0.0018 |
713
+ | 0.0015 | 655.0 | 655 | 0.0018 |
714
+ | 0.0015 | 656.0 | 656 | 0.0018 |
715
+ | 0.0015 | 657.0 | 657 | 0.0018 |
716
+ | 0.0015 | 658.0 | 658 | 0.0018 |
717
+ | 0.0015 | 659.0 | 659 | 0.0018 |
718
+ | 0.0015 | 660.0 | 660 | 0.0018 |
719
+ | 0.0015 | 661.0 | 661 | 0.0018 |
720
+ | 0.0015 | 662.0 | 662 | 0.0018 |
721
+ | 0.0015 | 663.0 | 663 | 0.0018 |
722
+ | 0.0015 | 664.0 | 664 | 0.0018 |
723
+ | 0.0015 | 665.0 | 665 | 0.0018 |
724
+ | 0.0015 | 666.0 | 666 | 0.0018 |
725
+ | 0.0015 | 667.0 | 667 | 0.0018 |
726
+ | 0.0015 | 668.0 | 668 | 0.0018 |
727
+ | 0.0015 | 669.0 | 669 | 0.0018 |
728
+ | 0.0015 | 670.0 | 670 | 0.0018 |
729
+ | 0.0015 | 671.0 | 671 | 0.0018 |
730
+ | 0.0015 | 672.0 | 672 | 0.0018 |
731
+ | 0.0015 | 673.0 | 673 | 0.0018 |
732
+ | 0.0015 | 674.0 | 674 | 0.0018 |
733
+ | 0.0014 | 675.0 | 675 | 0.0018 |
734
+ | 0.0014 | 676.0 | 676 | 0.0018 |
735
+ | 0.0014 | 677.0 | 677 | 0.0018 |
736
+ | 0.0014 | 678.0 | 678 | 0.0018 |
737
+ | 0.0014 | 679.0 | 679 | 0.0018 |
738
+ | 0.0014 | 680.0 | 680 | 0.0018 |
739
+ | 0.0014 | 681.0 | 681 | 0.0018 |
740
+ | 0.0014 | 682.0 | 682 | 0.0018 |
741
+ | 0.0014 | 683.0 | 683 | 0.0018 |
742
+ | 0.0014 | 684.0 | 684 | 0.0017 |
743
+ | 0.0014 | 685.0 | 685 | 0.0018 |
744
+ | 0.0014 | 686.0 | 686 | 0.0017 |
745
+ | 0.0014 | 687.0 | 687 | 0.0017 |
746
+ | 0.0014 | 688.0 | 688 | 0.0017 |
747
+ | 0.0014 | 689.0 | 689 | 0.0017 |
748
+ | 0.0014 | 690.0 | 690 | 0.0017 |
749
+ | 0.0014 | 691.0 | 691 | 0.0017 |
750
+ | 0.0014 | 692.0 | 692 | 0.0017 |
751
+ | 0.0014 | 693.0 | 693 | 0.0017 |
752
+ | 0.0014 | 694.0 | 694 | 0.0017 |
753
+ | 0.0014 | 695.0 | 695 | 0.0017 |
754
+ | 0.0014 | 696.0 | 696 | 0.0017 |
755
+ | 0.0014 | 697.0 | 697 | 0.0017 |
756
+ | 0.0014 | 698.0 | 698 | 0.0017 |
757
+ | 0.0014 | 699.0 | 699 | 0.0017 |
758
+ | 0.0014 | 700.0 | 700 | 0.0017 |
759
+ | 0.0014 | 701.0 | 701 | 0.0017 |
760
+ | 0.0014 | 702.0 | 702 | 0.0017 |
761
+ | 0.0014 | 703.0 | 703 | 0.0017 |
762
+ | 0.0014 | 704.0 | 704 | 0.0017 |
763
+ | 0.0014 | 705.0 | 705 | 0.0017 |
764
+ | 0.0014 | 706.0 | 706 | 0.0017 |
765
+ | 0.0014 | 707.0 | 707 | 0.0017 |
766
+ | 0.0014 | 708.0 | 708 | 0.0017 |
767
+ | 0.0014 | 709.0 | 709 | 0.0017 |
768
+ | 0.0014 | 710.0 | 710 | 0.0017 |
769
+ | 0.0014 | 711.0 | 711 | 0.0017 |
770
+ | 0.0014 | 712.0 | 712 | 0.0017 |
771
+ | 0.0014 | 713.0 | 713 | 0.0017 |
772
+ | 0.0014 | 714.0 | 714 | 0.0017 |
773
+ | 0.0014 | 715.0 | 715 | 0.0017 |
774
+ | 0.0014 | 716.0 | 716 | 0.0017 |
775
+ | 0.0014 | 717.0 | 717 | 0.0017 |
776
+ | 0.0014 | 718.0 | 718 | 0.0017 |
777
+ | 0.0014 | 719.0 | 719 | 0.0017 |
778
+ | 0.0014 | 720.0 | 720 | 0.0017 |
779
+ | 0.0014 | 721.0 | 721 | 0.0017 |
780
+ | 0.0014 | 722.0 | 722 | 0.0017 |
781
+ | 0.0014 | 723.0 | 723 | 0.0017 |
782
+ | 0.0014 | 724.0 | 724 | 0.0017 |
783
+ | 0.0014 | 725.0 | 725 | 0.0016 |
784
+ | 0.0014 | 726.0 | 726 | 0.0017 |
785
+ | 0.0014 | 727.0 | 727 | 0.0016 |
786
+ | 0.0014 | 728.0 | 728 | 0.0016 |
787
+ | 0.0014 | 729.0 | 729 | 0.0016 |
788
+ | 0.0014 | 730.0 | 730 | 0.0016 |
789
+ | 0.0014 | 731.0 | 731 | 0.0016 |
790
+ | 0.0014 | 732.0 | 732 | 0.0016 |
791
+ | 0.0014 | 733.0 | 733 | 0.0016 |
792
+ | 0.0014 | 734.0 | 734 | 0.0016 |
793
+ | 0.0014 | 735.0 | 735 | 0.0016 |
794
+ | 0.0014 | 736.0 | 736 | 0.0016 |
795
+ | 0.0014 | 737.0 | 737 | 0.0016 |
796
+ | 0.0014 | 738.0 | 738 | 0.0016 |
797
+ | 0.0014 | 739.0 | 739 | 0.0016 |
798
+ | 0.0014 | 740.0 | 740 | 0.0016 |
799
+ | 0.0014 | 741.0 | 741 | 0.0016 |
800
+ | 0.0014 | 742.0 | 742 | 0.0016 |
801
+ | 0.0014 | 743.0 | 743 | 0.0016 |
802
+ | 0.0014 | 744.0 | 744 | 0.0016 |
803
+ | 0.0014 | 745.0 | 745 | 0.0016 |
804
+ | 0.0014 | 746.0 | 746 | 0.0016 |
805
+ | 0.0014 | 747.0 | 747 | 0.0016 |
806
+ | 0.0014 | 748.0 | 748 | 0.0016 |
807
+ | 0.0014 | 749.0 | 749 | 0.0016 |
808
+ | 0.0013 | 750.0 | 750 | 0.0016 |
809
+ | 0.0013 | 751.0 | 751 | 0.0016 |
810
+ | 0.0013 | 752.0 | 752 | 0.0016 |
811
+ | 0.0013 | 753.0 | 753 | 0.0016 |
812
+ | 0.0013 | 754.0 | 754 | 0.0016 |
813
+ | 0.0013 | 755.0 | 755 | 0.0016 |
814
+ | 0.0013 | 756.0 | 756 | 0.0016 |
815
+ | 0.0013 | 757.0 | 757 | 0.0016 |
816
+ | 0.0013 | 758.0 | 758 | 0.0016 |
817
+ | 0.0013 | 759.0 | 759 | 0.0016 |
818
+ | 0.0013 | 760.0 | 760 | 0.0016 |
819
+ | 0.0013 | 761.0 | 761 | 0.0016 |
820
+ | 0.0013 | 762.0 | 762 | 0.0016 |
821
+ | 0.0013 | 763.0 | 763 | 0.0016 |
822
+ | 0.0013 | 764.0 | 764 | 0.0016 |
823
+ | 0.0013 | 765.0 | 765 | 0.0016 |
824
+ | 0.0013 | 766.0 | 766 | 0.0016 |
825
+ | 0.0013 | 767.0 | 767 | 0.0016 |
826
+ | 0.0013 | 768.0 | 768 | 0.0016 |
827
+ | 0.0013 | 769.0 | 769 | 0.0016 |
828
+ | 0.0013 | 770.0 | 770 | 0.0016 |
829
+ | 0.0013 | 771.0 | 771 | 0.0016 |
830
+ | 0.0013 | 772.0 | 772 | 0.0016 |
831
+ | 0.0013 | 773.0 | 773 | 0.0016 |
832
+ | 0.0013 | 774.0 | 774 | 0.0016 |
833
+ | 0.0013 | 775.0 | 775 | 0.0016 |
834
+ | 0.0013 | 776.0 | 776 | 0.0016 |
835
+ | 0.0013 | 777.0 | 777 | 0.0016 |
836
+ | 0.0013 | 778.0 | 778 | 0.0016 |
837
+ | 0.0013 | 779.0 | 779 | 0.0016 |
838
+ | 0.0013 | 780.0 | 780 | 0.0016 |
839
+ | 0.0013 | 781.0 | 781 | 0.0015 |
840
+ | 0.0013 | 782.0 | 782 | 0.0015 |
841
+ | 0.0013 | 783.0 | 783 | 0.0016 |
842
+ | 0.0013 | 784.0 | 784 | 0.0016 |
843
+ | 0.0013 | 785.0 | 785 | 0.0015 |
844
+ | 0.0013 | 786.0 | 786 | 0.0015 |
845
+ | 0.0013 | 787.0 | 787 | 0.0015 |
846
+ | 0.0013 | 788.0 | 788 | 0.0015 |
847
+ | 0.0013 | 789.0 | 789 | 0.0015 |
848
+ | 0.0013 | 790.0 | 790 | 0.0015 |
849
+ | 0.0013 | 791.0 | 791 | 0.0015 |
850
+ | 0.0013 | 792.0 | 792 | 0.0015 |
851
+ | 0.0013 | 793.0 | 793 | 0.0015 |
852
+ | 0.0013 | 794.0 | 794 | 0.0015 |
853
+ | 0.0013 | 795.0 | 795 | 0.0015 |
854
+ | 0.0013 | 796.0 | 796 | 0.0015 |
855
+ | 0.0013 | 797.0 | 797 | 0.0015 |
856
+ | 0.0013 | 798.0 | 798 | 0.0015 |
857
+ | 0.0013 | 799.0 | 799 | 0.0015 |
858
+ | 0.0012 | 800.0 | 800 | 0.0015 |
859
+ | 0.0012 | 801.0 | 801 | 0.0015 |
860
+ | 0.0012 | 802.0 | 802 | 0.0015 |
861
+ | 0.0012 | 803.0 | 803 | 0.0015 |
862
+ | 0.0012 | 804.0 | 804 | 0.0015 |
863
+ | 0.0012 | 805.0 | 805 | 0.0015 |
864
+ | 0.0012 | 806.0 | 806 | 0.0015 |
865
+ | 0.0012 | 807.0 | 807 | 0.0015 |
866
+ | 0.0012 | 808.0 | 808 | 0.0015 |
867
+ | 0.0012 | 809.0 | 809 | 0.0015 |
868
+ | 0.0012 | 810.0 | 810 | 0.0015 |
869
+ | 0.0012 | 811.0 | 811 | 0.0015 |
870
+ | 0.0012 | 812.0 | 812 | 0.0015 |
871
+ | 0.0012 | 813.0 | 813 | 0.0015 |
872
+ | 0.0012 | 814.0 | 814 | 0.0015 |
873
+ | 0.0012 | 815.0 | 815 | 0.0015 |
874
+ | 0.0012 | 816.0 | 816 | 0.0015 |
875
+ | 0.0012 | 817.0 | 817 | 0.0015 |
876
+ | 0.0012 | 818.0 | 818 | 0.0015 |
877
+ | 0.0012 | 819.0 | 819 | 0.0015 |
878
+ | 0.0012 | 820.0 | 820 | 0.0015 |
879
+ | 0.0012 | 821.0 | 821 | 0.0015 |
880
+ | 0.0012 | 822.0 | 822 | 0.0015 |
881
+ | 0.0012 | 823.0 | 823 | 0.0015 |
882
+ | 0.0012 | 824.0 | 824 | 0.0015 |
883
+ | 0.0012 | 825.0 | 825 | 0.0015 |
884
+ | 0.0012 | 826.0 | 826 | 0.0015 |
885
+ | 0.0012 | 827.0 | 827 | 0.0015 |
886
+ | 0.0012 | 828.0 | 828 | 0.0015 |
887
+ | 0.0012 | 829.0 | 829 | 0.0015 |
888
+ | 0.0012 | 830.0 | 830 | 0.0015 |
889
+ | 0.0012 | 831.0 | 831 | 0.0015 |
890
+ | 0.0012 | 832.0 | 832 | 0.0015 |
891
+ | 0.0012 | 833.0 | 833 | 0.0015 |
892
+ | 0.0012 | 834.0 | 834 | 0.0015 |
893
+ | 0.0012 | 835.0 | 835 | 0.0015 |
894
+ | 0.0012 | 836.0 | 836 | 0.0015 |
895
+ | 0.0012 | 837.0 | 837 | 0.0015 |
896
+ | 0.0012 | 838.0 | 838 | 0.0015 |
897
+ | 0.0012 | 839.0 | 839 | 0.0015 |
898
+ | 0.0012 | 840.0 | 840 | 0.0015 |
899
+ | 0.0012 | 841.0 | 841 | 0.0015 |
900
+ | 0.0012 | 842.0 | 842 | 0.0015 |
901
+ | 0.0012 | 843.0 | 843 | 0.0015 |
902
+ | 0.0012 | 844.0 | 844 | 0.0015 |
903
+ | 0.0012 | 845.0 | 845 | 0.0015 |
904
+ | 0.0012 | 846.0 | 846 | 0.0015 |
905
+ | 0.0012 | 847.0 | 847 | 0.0015 |
906
+ | 0.0012 | 848.0 | 848 | 0.0015 |
907
+ | 0.0012 | 849.0 | 849 | 0.0015 |
908
+ | 0.0012 | 850.0 | 850 | 0.0015 |
909
+ | 0.0012 | 851.0 | 851 | 0.0015 |
910
+ | 0.0012 | 852.0 | 852 | 0.0015 |
911
+ | 0.0012 | 853.0 | 853 | 0.0015 |
912
+ | 0.0012 | 854.0 | 854 | 0.0015 |
913
+ | 0.0012 | 855.0 | 855 | 0.0015 |
914
+ | 0.0012 | 856.0 | 856 | 0.0015 |
915
+ | 0.0012 | 857.0 | 857 | 0.0015 |
916
+ | 0.0012 | 858.0 | 858 | 0.0015 |
917
+ | 0.0012 | 859.0 | 859 | 0.0015 |
918
+ | 0.0012 | 860.0 | 860 | 0.0015 |
919
+ | 0.0012 | 861.0 | 861 | 0.0015 |
920
+ | 0.0012 | 862.0 | 862 | 0.0014 |
921
+ | 0.0012 | 863.0 | 863 | 0.0014 |
922
+ | 0.0012 | 864.0 | 864 | 0.0014 |
923
+ | 0.0012 | 865.0 | 865 | 0.0014 |
924
+ | 0.0012 | 866.0 | 866 | 0.0014 |
925
+ | 0.0012 | 867.0 | 867 | 0.0014 |
926
+ | 0.0012 | 868.0 | 868 | 0.0014 |
927
+ | 0.0012 | 869.0 | 869 | 0.0014 |
928
+ | 0.0012 | 870.0 | 870 | 0.0014 |
929
+ | 0.0012 | 871.0 | 871 | 0.0014 |
930
+ | 0.0012 | 872.0 | 872 | 0.0014 |
931
+ | 0.0012 | 873.0 | 873 | 0.0014 |
932
+ | 0.0012 | 874.0 | 874 | 0.0014 |
933
+ | 0.0012 | 875.0 | 875 | 0.0014 |
934
+ | 0.0012 | 876.0 | 876 | 0.0014 |
935
+ | 0.0012 | 877.0 | 877 | 0.0014 |
936
+ | 0.0012 | 878.0 | 878 | 0.0014 |
937
+ | 0.0012 | 879.0 | 879 | 0.0014 |
938
+ | 0.0012 | 880.0 | 880 | 0.0014 |
939
+ | 0.0012 | 881.0 | 881 | 0.0014 |
940
+ | 0.0012 | 882.0 | 882 | 0.0014 |
941
+ | 0.0012 | 883.0 | 883 | 0.0014 |
942
+ | 0.0012 | 884.0 | 884 | 0.0014 |
943
+ | 0.0012 | 885.0 | 885 | 0.0014 |
944
+ | 0.0012 | 886.0 | 886 | 0.0014 |
945
+ | 0.0012 | 887.0 | 887 | 0.0014 |
946
+ | 0.0012 | 888.0 | 888 | 0.0014 |
947
+ | 0.0012 | 889.0 | 889 | 0.0014 |
948
+ | 0.0012 | 890.0 | 890 | 0.0014 |
949
+ | 0.0012 | 891.0 | 891 | 0.0014 |
950
+ | 0.0012 | 892.0 | 892 | 0.0014 |
951
+ | 0.0012 | 893.0 | 893 | 0.0014 |
952
+ | 0.0012 | 894.0 | 894 | 0.0014 |
953
+ | 0.0012 | 895.0 | 895 | 0.0014 |
954
+ | 0.0012 | 896.0 | 896 | 0.0014 |
955
+ | 0.0012 | 897.0 | 897 | 0.0014 |
956
+ | 0.0012 | 898.0 | 898 | 0.0014 |
957
+ | 0.0012 | 899.0 | 899 | 0.0014 |
958
+ | 0.0012 | 900.0 | 900 | 0.0014 |
959
+ | 0.0012 | 901.0 | 901 | 0.0014 |
960
+ | 0.0012 | 902.0 | 902 | 0.0014 |
961
+ | 0.0012 | 903.0 | 903 | 0.0014 |
962
+ | 0.0012 | 904.0 | 904 | 0.0014 |
963
+ | 0.0012 | 905.0 | 905 | 0.0014 |
964
+ | 0.0012 | 906.0 | 906 | 0.0014 |
965
+ | 0.0012 | 907.0 | 907 | 0.0014 |
966
+ | 0.0012 | 908.0 | 908 | 0.0014 |
967
+ | 0.0012 | 909.0 | 909 | 0.0014 |
968
+ | 0.0012 | 910.0 | 910 | 0.0014 |
969
+ | 0.0012 | 911.0 | 911 | 0.0014 |
970
+ | 0.0012 | 912.0 | 912 | 0.0014 |
971
+ | 0.0012 | 913.0 | 913 | 0.0014 |
972
+ | 0.0012 | 914.0 | 914 | 0.0014 |
973
+ | 0.0012 | 915.0 | 915 | 0.0014 |
974
+ | 0.0012 | 916.0 | 916 | 0.0014 |
975
+ | 0.0012 | 917.0 | 917 | 0.0014 |
976
+ | 0.0012 | 918.0 | 918 | 0.0014 |
977
+ | 0.0012 | 919.0 | 919 | 0.0014 |
978
+ | 0.0012 | 920.0 | 920 | 0.0014 |
979
+ | 0.0012 | 921.0 | 921 | 0.0014 |
980
+ | 0.0012 | 922.0 | 922 | 0.0014 |
981
+ | 0.0012 | 923.0 | 923 | 0.0014 |
982
+ | 0.0012 | 924.0 | 924 | 0.0014 |
983
+ | 0.0011 | 925.0 | 925 | 0.0014 |
984
+ | 0.0011 | 926.0 | 926 | 0.0014 |
985
+ | 0.0011 | 927.0 | 927 | 0.0014 |
986
+ | 0.0011 | 928.0 | 928 | 0.0014 |
987
+ | 0.0011 | 929.0 | 929 | 0.0014 |
988
+ | 0.0011 | 930.0 | 930 | 0.0014 |
989
+ | 0.0011 | 931.0 | 931 | 0.0014 |
990
+ | 0.0011 | 932.0 | 932 | 0.0014 |
991
+ | 0.0011 | 933.0 | 933 | 0.0014 |
992
+ | 0.0011 | 934.0 | 934 | 0.0014 |
993
+ | 0.0011 | 935.0 | 935 | 0.0014 |
994
+ | 0.0011 | 936.0 | 936 | 0.0014 |
995
+ | 0.0011 | 937.0 | 937 | 0.0014 |
996
+ | 0.0011 | 938.0 | 938 | 0.0014 |
997
+ | 0.0011 | 939.0 | 939 | 0.0014 |
998
+ | 0.0011 | 940.0 | 940 | 0.0014 |
999
+ | 0.0011 | 941.0 | 941 | 0.0014 |
1000
+ | 0.0011 | 942.0 | 942 | 0.0014 |
1001
+ | 0.0011 | 943.0 | 943 | 0.0014 |
1002
+ | 0.0011 | 944.0 | 944 | 0.0014 |
1003
+ | 0.0011 | 945.0 | 945 | 0.0014 |
1004
+ | 0.0011 | 946.0 | 946 | 0.0014 |
1005
+ | 0.0011 | 947.0 | 947 | 0.0014 |
1006
+ | 0.0011 | 948.0 | 948 | 0.0014 |
1007
+ | 0.0011 | 949.0 | 949 | 0.0014 |
1008
+ | 0.0011 | 950.0 | 950 | 0.0014 |
1009
+ | 0.0011 | 951.0 | 951 | 0.0014 |
1010
+ | 0.0011 | 952.0 | 952 | 0.0014 |
1011
+ | 0.0011 | 953.0 | 953 | 0.0014 |
1012
+ | 0.0011 | 954.0 | 954 | 0.0014 |
1013
+ | 0.0011 | 955.0 | 955 | 0.0014 |
1014
+ | 0.0011 | 956.0 | 956 | 0.0014 |
1015
+ | 0.0011 | 957.0 | 957 | 0.0014 |
1016
+ | 0.0011 | 958.0 | 958 | 0.0014 |
1017
+ | 0.0011 | 959.0 | 959 | 0.0014 |
1018
+ | 0.0011 | 960.0 | 960 | 0.0014 |
1019
+ | 0.0011 | 961.0 | 961 | 0.0014 |
1020
+ | 0.0011 | 962.0 | 962 | 0.0014 |
1021
+ | 0.0011 | 963.0 | 963 | 0.0014 |
1022
+ | 0.0011 | 964.0 | 964 | 0.0014 |
1023
+ | 0.0011 | 965.0 | 965 | 0.0014 |
1024
+ | 0.0011 | 966.0 | 966 | 0.0014 |
1025
+ | 0.0011 | 967.0 | 967 | 0.0014 |
1026
+ | 0.0011 | 968.0 | 968 | 0.0014 |
1027
+ | 0.0011 | 969.0 | 969 | 0.0014 |
1028
+ | 0.0011 | 970.0 | 970 | 0.0014 |
1029
+ | 0.0011 | 971.0 | 971 | 0.0014 |
1030
+ | 0.0011 | 972.0 | 972 | 0.0014 |
1031
+ | 0.0011 | 973.0 | 973 | 0.0014 |
1032
+ | 0.0011 | 974.0 | 974 | 0.0014 |
1033
+ | 0.0011 | 975.0 | 975 | 0.0014 |
1034
+ | 0.0011 | 976.0 | 976 | 0.0014 |
1035
+ | 0.0011 | 977.0 | 977 | 0.0014 |
1036
+ | 0.0011 | 978.0 | 978 | 0.0014 |
1037
+ | 0.0011 | 979.0 | 979 | 0.0014 |
1038
+ | 0.0011 | 980.0 | 980 | 0.0014 |
1039
+ | 0.0011 | 981.0 | 981 | 0.0014 |
1040
+ | 0.0011 | 982.0 | 982 | 0.0014 |
1041
+ | 0.0011 | 983.0 | 983 | 0.0014 |
1042
+ | 0.0011 | 984.0 | 984 | 0.0014 |
1043
+ | 0.0011 | 985.0 | 985 | 0.0014 |
1044
+ | 0.0011 | 986.0 | 986 | 0.0014 |
1045
+ | 0.0011 | 987.0 | 987 | 0.0014 |
1046
+ | 0.0011 | 988.0 | 988 | 0.0014 |
1047
+ | 0.0011 | 989.0 | 989 | 0.0014 |
1048
+ | 0.0011 | 990.0 | 990 | 0.0014 |
1049
+ | 0.0011 | 991.0 | 991 | 0.0014 |
1050
+ | 0.0011 | 992.0 | 992 | 0.0014 |
1051
+ | 0.0011 | 993.0 | 993 | 0.0014 |
1052
+ | 0.0011 | 994.0 | 994 | 0.0014 |
1053
+ | 0.0011 | 995.0 | 995 | 0.0014 |
1054
+ | 0.0011 | 996.0 | 996 | 0.0014 |
1055
+ | 0.0011 | 997.0 | 997 | 0.0014 |
1056
+ | 0.0011 | 998.0 | 998 | 0.0014 |
1057
+ | 0.0011 | 999.0 | 999 | 0.0014 |
1058
+ | 0.0011 | 1000.0 | 1000 | 0.0014 |
1059
+
1060
+
1061
+ ### Framework versions
1062
+
1063
+ - PEFT 0.9.0
1064
+ - Transformers 4.38.2
1065
+ - Pytorch 2.2.1+cu121
1066
+ - Datasets 2.18.0
1067
+ - Tokenizers 0.15.0
adapter_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperForConditionalGeneration",
5
+ "parent_library": "transformers.models.whisper.modeling_whisper"
6
+ },
7
+ "base_model_name_or_path": "openai/whisper-tiny",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 64,
16
+ "lora_dropout": 0.05,
17
+ "megatron_config": null,
18
+ "megatron_core": "megatron.core",
19
+ "modules_to_save": null,
20
+ "peft_type": "LORA",
21
+ "r": 32,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": [
25
+ "v_proj",
26
+ "q_proj"
27
+ ],
28
+ "task_type": null,
29
+ "use_dora": false,
30
+ "use_rslora": false
31
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81841cbfcf764849745a73aeae0a84d34c457de4b4b722d20426c2c217816f22
3
+ size 2366008
preprocessor_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "chunk_length": 30,
3
+ "feature_extractor_type": "WhisperFeatureExtractor",
4
+ "feature_size": 80,
5
+ "hop_length": 160,
6
+ "n_fft": 400,
7
+ "n_samples": 480000,
8
+ "nb_max_frames": 3000,
9
+ "padding_side": "right",
10
+ "padding_value": 0.0,
11
+ "processor_class": "WhisperProcessor",
12
+ "return_attention_mask": false,
13
+ "sampling_rate": 16000
14
+ }
runs/Oct21_12-56-43_Adam-Laptop/events.out.tfevents.1729504604.Adam-Laptop ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ca01e7f5bd70d54ef66be5aa62dbbf49872e8c16098685ef5cbe329369ac355
3
+ size 30564
runs/Oct21_13-02-20_Adam-Laptop/events.out.tfevents.1729504940.Adam-Laptop ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd37d3c677a27fc84731956e4cc0a29ca160e8a6db9b43cd6366b773d954aa2e
3
+ size 284609
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10e35a315c1409b14be0e3066fde5644f2ab4b0a80cf2d86b0c327c9e9faa20d
3
+ size 5176