PushkarA07 commited on
Commit
183ef1f
·
verified ·
1 Parent(s): 32ef193

End of training

Browse files
Files changed (3) hide show
  1. README.md +256 -56
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [PushkarA07/segformer-b0-finetuned-batch2w5-15Dec](https://huggingface.co/PushkarA07/segformer-b0-finetuned-batch2w5-15Dec) on the PushkarA07/batch1-tiles_W5 dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.0125
22
- - Mean Iou: 0.8148
23
- - Mean Accuracy: 0.8666
24
  - Overall Accuracy: 0.9960
25
- - Accuracy Abnormality: 0.7346
26
- - Iou Abnormality: 0.6336
27
 
28
  ## Model description
29
 
@@ -48,62 +48,262 @@ The following hyperparameters were used during training:
48
  - seed: 42
49
  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
51
- - num_epochs: 100
52
 
53
  ### Training results
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Abnormality | Iou Abnormality |
56
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------------:|:---------------:|
57
- | 0.0125 | 2.0 | 10 | 0.0142 | 0.8004 | 0.8582 | 0.9956 | 0.7182 | 0.6052 |
58
- | 0.0093 | 4.0 | 20 | 0.0135 | 0.8030 | 0.8665 | 0.9956 | 0.7350 | 0.6104 |
59
- | 0.0138 | 6.0 | 30 | 0.0134 | 0.8085 | 0.8586 | 0.9959 | 0.7188 | 0.6211 |
60
- | 0.0108 | 8.0 | 40 | 0.0130 | 0.8089 | 0.8787 | 0.9957 | 0.7596 | 0.6222 |
61
- | 0.0135 | 10.0 | 50 | 0.0142 | 0.8000 | 0.8321 | 0.9959 | 0.6651 | 0.6041 |
62
- | 0.0187 | 12.0 | 60 | 0.0127 | 0.8103 | 0.8713 | 0.9958 | 0.7444 | 0.6248 |
63
- | 0.0095 | 14.0 | 70 | 0.0133 | 0.8074 | 0.8486 | 0.9960 | 0.6985 | 0.6188 |
64
- | 0.0079 | 16.0 | 80 | 0.0127 | 0.8132 | 0.8701 | 0.9959 | 0.7419 | 0.6305 |
65
- | 0.0101 | 18.0 | 90 | 0.0129 | 0.8131 | 0.8626 | 0.9960 | 0.7266 | 0.6303 |
66
- | 0.0139 | 20.0 | 100 | 0.0125 | 0.8119 | 0.8624 | 0.9960 | 0.7263 | 0.6279 |
67
- | 0.0127 | 22.0 | 110 | 0.0125 | 0.8130 | 0.8754 | 0.9959 | 0.7526 | 0.6301 |
68
- | 0.0084 | 24.0 | 120 | 0.0128 | 0.8134 | 0.8681 | 0.9960 | 0.7377 | 0.6310 |
69
- | 0.0095 | 26.0 | 130 | 0.0129 | 0.8139 | 0.8763 | 0.9959 | 0.7545 | 0.6319 |
70
- | 0.0079 | 28.0 | 140 | 0.0130 | 0.8151 | 0.8748 | 0.9959 | 0.7513 | 0.6342 |
71
- | 0.0168 | 30.0 | 150 | 0.0124 | 0.8140 | 0.8696 | 0.9960 | 0.7407 | 0.6320 |
72
- | 0.0102 | 32.0 | 160 | 0.0121 | 0.8144 | 0.8699 | 0.9960 | 0.7414 | 0.6328 |
73
- | 0.0082 | 34.0 | 170 | 0.0126 | 0.8131 | 0.8663 | 0.9960 | 0.7341 | 0.6303 |
74
- | 0.012 | 36.0 | 180 | 0.0126 | 0.8134 | 0.8708 | 0.9959 | 0.7434 | 0.6310 |
75
- | 0.0177 | 38.0 | 190 | 0.0121 | 0.8145 | 0.8833 | 0.9958 | 0.7686 | 0.6333 |
76
- | 0.0114 | 40.0 | 200 | 0.0124 | 0.8137 | 0.8722 | 0.9959 | 0.7462 | 0.6315 |
77
- | 0.0136 | 42.0 | 210 | 0.0127 | 0.8127 | 0.8677 | 0.9959 | 0.7370 | 0.6295 |
78
- | 0.0114 | 44.0 | 220 | 0.0124 | 0.8148 | 0.8790 | 0.9959 | 0.7598 | 0.6338 |
79
- | 0.0069 | 46.0 | 230 | 0.0125 | 0.8152 | 0.8772 | 0.9959 | 0.7562 | 0.6344 |
80
- | 0.0105 | 48.0 | 240 | 0.0121 | 0.8157 | 0.8778 | 0.9959 | 0.7574 | 0.6355 |
81
- | 0.0069 | 50.0 | 250 | 0.0120 | 0.8162 | 0.8747 | 0.9960 | 0.7512 | 0.6365 |
82
- | 0.0165 | 52.0 | 260 | 0.0125 | 0.8153 | 0.8669 | 0.9960 | 0.7354 | 0.6346 |
83
- | 0.0153 | 54.0 | 270 | 0.0123 | 0.8166 | 0.8755 | 0.9960 | 0.7526 | 0.6372 |
84
- | 0.0151 | 56.0 | 280 | 0.0123 | 0.8173 | 0.8675 | 0.9961 | 0.7365 | 0.6386 |
85
- | 0.0091 | 58.0 | 290 | 0.0125 | 0.8175 | 0.8705 | 0.9961 | 0.7426 | 0.6389 |
86
- | 0.0065 | 60.0 | 300 | 0.0127 | 0.8158 | 0.8645 | 0.9961 | 0.7304 | 0.6355 |
87
- | 0.0081 | 62.0 | 310 | 0.0124 | 0.8153 | 0.8683 | 0.9960 | 0.7380 | 0.6346 |
88
- | 0.0083 | 64.0 | 320 | 0.0120 | 0.8170 | 0.8790 | 0.9960 | 0.7597 | 0.6382 |
89
- | 0.0094 | 66.0 | 330 | 0.0122 | 0.8160 | 0.8681 | 0.9960 | 0.7376 | 0.6360 |
90
- | 0.0062 | 68.0 | 340 | 0.0126 | 0.8164 | 0.8684 | 0.9961 | 0.7382 | 0.6367 |
91
- | 0.0113 | 70.0 | 350 | 0.0130 | 0.8157 | 0.8664 | 0.9961 | 0.7342 | 0.6355 |
92
- | 0.0076 | 72.0 | 360 | 0.0131 | 0.8147 | 0.8651 | 0.9960 | 0.7316 | 0.6334 |
93
- | 0.0114 | 74.0 | 370 | 0.0127 | 0.8158 | 0.8711 | 0.9960 | 0.7437 | 0.6356 |
94
- | 0.0061 | 76.0 | 380 | 0.0125 | 0.8158 | 0.8720 | 0.9960 | 0.7457 | 0.6356 |
95
- | 0.0068 | 78.0 | 390 | 0.0124 | 0.8154 | 0.8686 | 0.9960 | 0.7387 | 0.6348 |
96
- | 0.009 | 80.0 | 400 | 0.0125 | 0.8157 | 0.8703 | 0.9960 | 0.7422 | 0.6355 |
97
- | 0.0122 | 82.0 | 410 | 0.0123 | 0.8158 | 0.8720 | 0.9960 | 0.7457 | 0.6356 |
98
- | 0.0077 | 84.0 | 420 | 0.0125 | 0.8152 | 0.8676 | 0.9960 | 0.7367 | 0.6344 |
99
- | 0.0102 | 86.0 | 430 | 0.0125 | 0.8152 | 0.8675 | 0.9960 | 0.7365 | 0.6344 |
100
- | 0.0097 | 88.0 | 440 | 0.0125 | 0.8154 | 0.8684 | 0.9960 | 0.7384 | 0.6348 |
101
- | 0.0126 | 90.0 | 450 | 0.0125 | 0.8153 | 0.8684 | 0.9960 | 0.7383 | 0.6346 |
102
- | 0.0068 | 92.0 | 460 | 0.0125 | 0.8158 | 0.8696 | 0.9960 | 0.7408 | 0.6356 |
103
- | 0.0098 | 94.0 | 470 | 0.0125 | 0.8153 | 0.8685 | 0.9960 | 0.7385 | 0.6346 |
104
- | 0.0098 | 96.0 | 480 | 0.0125 | 0.8154 | 0.8697 | 0.9960 | 0.7410 | 0.6349 |
105
- | 0.0079 | 98.0 | 490 | 0.0124 | 0.8152 | 0.8680 | 0.9960 | 0.7376 | 0.6345 |
106
- | 0.01 | 100.0 | 500 | 0.0125 | 0.8148 | 0.8666 | 0.9960 | 0.7346 | 0.6336 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
107
 
108
 
109
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [PushkarA07/segformer-b0-finetuned-batch2w5-15Dec](https://huggingface.co/PushkarA07/segformer-b0-finetuned-batch2w5-15Dec) on the PushkarA07/batch1-tiles_W5 dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.0148
22
+ - Mean Iou: 0.8127
23
+ - Mean Accuracy: 0.8577
24
  - Overall Accuracy: 0.9960
25
+ - Accuracy Abnormality: 0.7167
26
+ - Iou Abnormality: 0.6293
27
 
28
  ## Model description
29
 
 
48
  - seed: 42
49
  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
51
+ - num_epochs: 500
52
 
53
  ### Training results
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Abnormality | Iou Abnormality |
56
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------------:|:---------------:|
57
+ | 0.0081 | 2.0 | 10 | 0.0115 | 0.8134 | 0.8774 | 0.9959 | 0.7567 | 0.6310 |
58
+ | 0.0117 | 4.0 | 20 | 0.0121 | 0.8146 | 0.8922 | 0.9957 | 0.7866 | 0.6334 |
59
+ | 0.0192 | 6.0 | 30 | 0.0128 | 0.8138 | 0.8651 | 0.9960 | 0.7317 | 0.6316 |
60
+ | 0.0138 | 8.0 | 40 | 0.0132 | 0.8163 | 0.8697 | 0.9960 | 0.7409 | 0.6366 |
61
+ | 0.0094 | 10.0 | 50 | 0.0143 | 0.8136 | 0.8564 | 0.9961 | 0.7141 | 0.6312 |
62
+ | 0.0124 | 12.0 | 60 | 0.0130 | 0.8152 | 0.8750 | 0.9959 | 0.7518 | 0.6345 |
63
+ | 0.0105 | 14.0 | 70 | 0.0141 | 0.8099 | 0.8535 | 0.9960 | 0.7084 | 0.6238 |
64
+ | 0.0061 | 16.0 | 80 | 0.0134 | 0.8127 | 0.8671 | 0.9959 | 0.7358 | 0.6295 |
65
+ | 0.0087 | 18.0 | 90 | 0.0123 | 0.8146 | 0.8716 | 0.9960 | 0.7449 | 0.6334 |
66
+ | 0.0065 | 20.0 | 100 | 0.0126 | 0.8114 | 0.8673 | 0.9959 | 0.7363 | 0.6269 |
67
+ | 0.0091 | 22.0 | 110 | 0.0126 | 0.8114 | 0.8590 | 0.9960 | 0.7193 | 0.6268 |
68
+ | 0.0073 | 24.0 | 120 | 0.0131 | 0.8152 | 0.8750 | 0.9959 | 0.7517 | 0.6346 |
69
+ | 0.0087 | 26.0 | 130 | 0.0137 | 0.8086 | 0.8560 | 0.9959 | 0.7134 | 0.6212 |
70
+ | 0.0085 | 28.0 | 140 | 0.0123 | 0.8127 | 0.8615 | 0.9960 | 0.7244 | 0.6294 |
71
+ | 0.0156 | 30.0 | 150 | 0.0126 | 0.8114 | 0.8642 | 0.9959 | 0.7300 | 0.6270 |
72
+ | 0.0084 | 32.0 | 160 | 0.0127 | 0.8081 | 0.8557 | 0.9959 | 0.7127 | 0.6203 |
73
+ | 0.0063 | 34.0 | 170 | 0.0115 | 0.8155 | 0.8847 | 0.9959 | 0.7714 | 0.6353 |
74
+ | 0.0078 | 36.0 | 180 | 0.0128 | 0.8113 | 0.8568 | 0.9960 | 0.7149 | 0.6267 |
75
+ | 0.0105 | 38.0 | 190 | 0.0135 | 0.8117 | 0.8639 | 0.9959 | 0.7292 | 0.6274 |
76
+ | 0.006 | 40.0 | 200 | 0.0133 | 0.8099 | 0.8600 | 0.9959 | 0.7216 | 0.6238 |
77
+ | 0.0068 | 42.0 | 210 | 0.0121 | 0.8120 | 0.8673 | 0.9959 | 0.7363 | 0.6280 |
78
+ | 0.0058 | 44.0 | 220 | 0.0127 | 0.8074 | 0.8510 | 0.9959 | 0.7032 | 0.6189 |
79
+ | 0.0124 | 46.0 | 230 | 0.0122 | 0.8112 | 0.8718 | 0.9958 | 0.7454 | 0.6265 |
80
+ | 0.0085 | 48.0 | 240 | 0.0143 | 0.8008 | 0.8406 | 0.9958 | 0.6824 | 0.6058 |
81
+ | 0.0095 | 50.0 | 250 | 0.0138 | 0.8050 | 0.8549 | 0.9958 | 0.7113 | 0.6141 |
82
+ | 0.0078 | 52.0 | 260 | 0.0128 | 0.8117 | 0.8678 | 0.9959 | 0.7372 | 0.6275 |
83
+ | 0.0073 | 54.0 | 270 | 0.0136 | 0.8110 | 0.8604 | 0.9960 | 0.7222 | 0.6260 |
84
+ | 0.0075 | 56.0 | 280 | 0.0155 | 0.8096 | 0.8562 | 0.9960 | 0.7138 | 0.6233 |
85
+ | 0.0071 | 58.0 | 290 | 0.0135 | 0.8125 | 0.8621 | 0.9960 | 0.7256 | 0.6291 |
86
+ | 0.0059 | 60.0 | 300 | 0.0138 | 0.8122 | 0.8663 | 0.9959 | 0.7342 | 0.6285 |
87
+ | 0.0087 | 62.0 | 310 | 0.0140 | 0.8122 | 0.8642 | 0.9960 | 0.7299 | 0.6285 |
88
+ | 0.0056 | 64.0 | 320 | 0.0165 | 0.8030 | 0.8468 | 0.9958 | 0.6950 | 0.6101 |
89
+ | 0.013 | 66.0 | 330 | 0.0135 | 0.8121 | 0.8660 | 0.9959 | 0.7335 | 0.6283 |
90
+ | 0.0046 | 68.0 | 340 | 0.0155 | 0.8005 | 0.8413 | 0.9958 | 0.6838 | 0.6052 |
91
+ | 0.0101 | 70.0 | 350 | 0.0151 | 0.8039 | 0.8534 | 0.9958 | 0.7083 | 0.6121 |
92
+ | 0.0078 | 72.0 | 360 | 0.0153 | 0.8051 | 0.8497 | 0.9959 | 0.7007 | 0.6143 |
93
+ | 0.0062 | 74.0 | 370 | 0.0119 | 0.8148 | 0.8760 | 0.9959 | 0.7537 | 0.6337 |
94
+ | 0.007 | 76.0 | 380 | 0.0130 | 0.8102 | 0.8637 | 0.9959 | 0.7290 | 0.6245 |
95
+ | 0.0064 | 78.0 | 390 | 0.0135 | 0.8082 | 0.8584 | 0.9959 | 0.7183 | 0.6206 |
96
+ | 0.0082 | 80.0 | 400 | 0.0128 | 0.8098 | 0.8579 | 0.9959 | 0.7172 | 0.6237 |
97
+ | 0.008 | 82.0 | 410 | 0.0130 | 0.8077 | 0.8662 | 0.9958 | 0.7341 | 0.6196 |
98
+ | 0.0074 | 84.0 | 420 | 0.0133 | 0.8079 | 0.8617 | 0.9958 | 0.7250 | 0.6201 |
99
+ | 0.0073 | 86.0 | 430 | 0.0135 | 0.8077 | 0.8576 | 0.9959 | 0.7166 | 0.6195 |
100
+ | 0.0073 | 88.0 | 440 | 0.0130 | 0.8134 | 0.8701 | 0.9959 | 0.7418 | 0.6308 |
101
+ | 0.009 | 90.0 | 450 | 0.0139 | 0.8120 | 0.8664 | 0.9959 | 0.7344 | 0.6280 |
102
+ | 0.0068 | 92.0 | 460 | 0.0138 | 0.8081 | 0.8611 | 0.9959 | 0.7238 | 0.6204 |
103
+ | 0.0079 | 94.0 | 470 | 0.0131 | 0.8092 | 0.8598 | 0.9959 | 0.7211 | 0.6226 |
104
+ | 0.0108 | 96.0 | 480 | 0.0127 | 0.8124 | 0.8607 | 0.9960 | 0.7229 | 0.6289 |
105
+ | 0.0078 | 98.0 | 490 | 0.0154 | 0.8026 | 0.8507 | 0.9958 | 0.7029 | 0.6095 |
106
+ | 0.0075 | 100.0 | 500 | 0.0145 | 0.8067 | 0.8565 | 0.9959 | 0.7144 | 0.6175 |
107
+ | 0.0044 | 102.0 | 510 | 0.0142 | 0.8059 | 0.8564 | 0.9958 | 0.7142 | 0.6159 |
108
+ | 0.0072 | 104.0 | 520 | 0.0144 | 0.8061 | 0.8542 | 0.9959 | 0.7099 | 0.6164 |
109
+ | 0.0049 | 106.0 | 530 | 0.0128 | 0.8129 | 0.8669 | 0.9960 | 0.7354 | 0.6298 |
110
+ | 0.0053 | 108.0 | 540 | 0.0125 | 0.8143 | 0.8681 | 0.9960 | 0.7378 | 0.6327 |
111
+ | 0.0052 | 110.0 | 550 | 0.0113 | 0.8212 | 0.8831 | 0.9961 | 0.7681 | 0.6463 |
112
+ | 0.005 | 112.0 | 560 | 0.0125 | 0.8132 | 0.8654 | 0.9960 | 0.7323 | 0.6305 |
113
+ | 0.0083 | 114.0 | 570 | 0.0140 | 0.8080 | 0.8547 | 0.9959 | 0.7108 | 0.6201 |
114
+ | 0.0099 | 116.0 | 580 | 0.0134 | 0.8132 | 0.8672 | 0.9960 | 0.7360 | 0.6305 |
115
+ | 0.007 | 118.0 | 590 | 0.0136 | 0.8104 | 0.8587 | 0.9960 | 0.7188 | 0.6249 |
116
+ | 0.006 | 120.0 | 600 | 0.0132 | 0.8129 | 0.8627 | 0.9960 | 0.7268 | 0.6298 |
117
+ | 0.0088 | 122.0 | 610 | 0.0131 | 0.8128 | 0.8584 | 0.9960 | 0.7182 | 0.6296 |
118
+ | 0.0088 | 124.0 | 620 | 0.0119 | 0.8191 | 0.8850 | 0.9960 | 0.7719 | 0.6423 |
119
+ | 0.0081 | 126.0 | 630 | 0.0124 | 0.8130 | 0.8704 | 0.9959 | 0.7424 | 0.6302 |
120
+ | 0.0049 | 128.0 | 640 | 0.0132 | 0.8070 | 0.8560 | 0.9959 | 0.7134 | 0.6182 |
121
+ | 0.0068 | 130.0 | 650 | 0.0120 | 0.8171 | 0.8760 | 0.9960 | 0.7537 | 0.6383 |
122
+ | 0.0043 | 132.0 | 660 | 0.0122 | 0.8158 | 0.8686 | 0.9960 | 0.7388 | 0.6357 |
123
+ | 0.0044 | 134.0 | 670 | 0.0129 | 0.8138 | 0.8647 | 0.9960 | 0.7308 | 0.6316 |
124
+ | 0.0045 | 136.0 | 680 | 0.0124 | 0.8142 | 0.8632 | 0.9960 | 0.7279 | 0.6324 |
125
+ | 0.0063 | 138.0 | 690 | 0.0136 | 0.8083 | 0.8588 | 0.9959 | 0.7192 | 0.6207 |
126
+ | 0.0072 | 140.0 | 700 | 0.0124 | 0.8148 | 0.8693 | 0.9960 | 0.7402 | 0.6336 |
127
+ | 0.0072 | 142.0 | 710 | 0.0125 | 0.8125 | 0.8690 | 0.9959 | 0.7397 | 0.6291 |
128
+ | 0.0084 | 144.0 | 720 | 0.0134 | 0.8057 | 0.8494 | 0.9959 | 0.7000 | 0.6155 |
129
+ | 0.0089 | 146.0 | 730 | 0.0131 | 0.8096 | 0.8556 | 0.9960 | 0.7126 | 0.6232 |
130
+ | 0.0094 | 148.0 | 740 | 0.0133 | 0.8117 | 0.8639 | 0.9959 | 0.7294 | 0.6274 |
131
+ | 0.0132 | 150.0 | 750 | 0.0130 | 0.8159 | 0.8695 | 0.9960 | 0.7406 | 0.6358 |
132
+ | 0.006 | 152.0 | 760 | 0.0143 | 0.8076 | 0.8528 | 0.9959 | 0.7070 | 0.6192 |
133
+ | 0.0078 | 154.0 | 770 | 0.0121 | 0.8184 | 0.8794 | 0.9960 | 0.7605 | 0.6408 |
134
+ | 0.0066 | 156.0 | 780 | 0.0134 | 0.8111 | 0.8563 | 0.9960 | 0.7140 | 0.6262 |
135
+ | 0.0115 | 158.0 | 790 | 0.0129 | 0.8142 | 0.8642 | 0.9960 | 0.7299 | 0.6325 |
136
+ | 0.0046 | 160.0 | 800 | 0.0129 | 0.8149 | 0.8741 | 0.9959 | 0.7499 | 0.6339 |
137
+ | 0.0075 | 162.0 | 810 | 0.0127 | 0.8143 | 0.8654 | 0.9960 | 0.7323 | 0.6326 |
138
+ | 0.007 | 164.0 | 820 | 0.0123 | 0.8179 | 0.8806 | 0.9960 | 0.7631 | 0.6398 |
139
+ | 0.0076 | 166.0 | 830 | 0.0133 | 0.8107 | 0.8616 | 0.9959 | 0.7248 | 0.6254 |
140
+ | 0.0061 | 168.0 | 840 | 0.0133 | 0.8089 | 0.8576 | 0.9959 | 0.7167 | 0.6219 |
141
+ | 0.0058 | 170.0 | 850 | 0.0124 | 0.8140 | 0.8724 | 0.9959 | 0.7465 | 0.6320 |
142
+ | 0.0058 | 172.0 | 860 | 0.0124 | 0.8147 | 0.8659 | 0.9960 | 0.7334 | 0.6333 |
143
+ | 0.0087 | 174.0 | 870 | 0.0141 | 0.8077 | 0.8566 | 0.9959 | 0.7147 | 0.6196 |
144
+ | 0.007 | 176.0 | 880 | 0.0137 | 0.8092 | 0.8573 | 0.9959 | 0.7161 | 0.6225 |
145
+ | 0.0069 | 178.0 | 890 | 0.0128 | 0.8137 | 0.8708 | 0.9959 | 0.7433 | 0.6315 |
146
+ | 0.0057 | 180.0 | 900 | 0.0130 | 0.8139 | 0.8664 | 0.9960 | 0.7344 | 0.6318 |
147
+ | 0.0068 | 182.0 | 910 | 0.0141 | 0.8122 | 0.8606 | 0.9960 | 0.7226 | 0.6284 |
148
+ | 0.0094 | 184.0 | 920 | 0.0133 | 0.8171 | 0.8793 | 0.9960 | 0.7603 | 0.6383 |
149
+ | 0.0069 | 186.0 | 930 | 0.0145 | 0.8093 | 0.8580 | 0.9959 | 0.7175 | 0.6227 |
150
+ | 0.0068 | 188.0 | 940 | 0.0124 | 0.8174 | 0.8751 | 0.9960 | 0.7518 | 0.6389 |
151
+ | 0.0051 | 190.0 | 950 | 0.0133 | 0.8107 | 0.8613 | 0.9959 | 0.7241 | 0.6254 |
152
+ | 0.0063 | 192.0 | 960 | 0.0136 | 0.8121 | 0.8615 | 0.9960 | 0.7244 | 0.6282 |
153
+ | 0.0048 | 194.0 | 970 | 0.0136 | 0.8138 | 0.8736 | 0.9959 | 0.7490 | 0.6317 |
154
+ | 0.005 | 196.0 | 980 | 0.0148 | 0.8091 | 0.8564 | 0.9959 | 0.7143 | 0.6223 |
155
+ | 0.0034 | 198.0 | 990 | 0.0131 | 0.8164 | 0.8726 | 0.9960 | 0.7468 | 0.6369 |
156
+ | 0.0117 | 200.0 | 1000 | 0.0137 | 0.8124 | 0.8636 | 0.9960 | 0.7286 | 0.6289 |
157
+ | 0.0066 | 202.0 | 1010 | 0.0138 | 0.8110 | 0.8570 | 0.9960 | 0.7154 | 0.6260 |
158
+ | 0.0055 | 204.0 | 1020 | 0.0133 | 0.8132 | 0.8666 | 0.9960 | 0.7348 | 0.6304 |
159
+ | 0.0067 | 206.0 | 1030 | 0.0137 | 0.8130 | 0.8609 | 0.9960 | 0.7231 | 0.6300 |
160
+ | 0.0042 | 208.0 | 1040 | 0.0132 | 0.8163 | 0.8679 | 0.9961 | 0.7372 | 0.6367 |
161
+ | 0.0059 | 210.0 | 1050 | 0.0136 | 0.8121 | 0.8608 | 0.9960 | 0.7231 | 0.6282 |
162
+ | 0.0056 | 212.0 | 1060 | 0.0138 | 0.8119 | 0.8603 | 0.9960 | 0.7220 | 0.6278 |
163
+ | 0.006 | 214.0 | 1070 | 0.0140 | 0.8120 | 0.8578 | 0.9960 | 0.7170 | 0.6280 |
164
+ | 0.0065 | 216.0 | 1080 | 0.0124 | 0.8198 | 0.8736 | 0.9961 | 0.7487 | 0.6434 |
165
+ | 0.0073 | 218.0 | 1090 | 0.0130 | 0.8191 | 0.8726 | 0.9961 | 0.7467 | 0.6421 |
166
+ | 0.0039 | 220.0 | 1100 | 0.0160 | 0.8092 | 0.8529 | 0.9960 | 0.7071 | 0.6225 |
167
+ | 0.0041 | 222.0 | 1110 | 0.0140 | 0.8178 | 0.8755 | 0.9960 | 0.7527 | 0.6396 |
168
+ | 0.0049 | 224.0 | 1120 | 0.0149 | 0.8140 | 0.8697 | 0.9960 | 0.7411 | 0.6320 |
169
+ | 0.0042 | 226.0 | 1130 | 0.0155 | 0.8110 | 0.8608 | 0.9960 | 0.7230 | 0.6260 |
170
+ | 0.0044 | 228.0 | 1140 | 0.0143 | 0.8146 | 0.8699 | 0.9960 | 0.7415 | 0.6332 |
171
+ | 0.0144 | 230.0 | 1150 | 0.0129 | 0.8216 | 0.8815 | 0.9961 | 0.7647 | 0.6471 |
172
+ | 0.0067 | 232.0 | 1160 | 0.0141 | 0.8136 | 0.8613 | 0.9960 | 0.7239 | 0.6312 |
173
+ | 0.0066 | 234.0 | 1170 | 0.0137 | 0.8170 | 0.8738 | 0.9960 | 0.7493 | 0.6380 |
174
+ | 0.0081 | 236.0 | 1180 | 0.0138 | 0.8150 | 0.8636 | 0.9961 | 0.7286 | 0.6340 |
175
+ | 0.0065 | 238.0 | 1190 | 0.0154 | 0.8100 | 0.8540 | 0.9960 | 0.7093 | 0.6241 |
176
+ | 0.0032 | 240.0 | 1200 | 0.0140 | 0.8150 | 0.8680 | 0.9960 | 0.7375 | 0.6341 |
177
+ | 0.0105 | 242.0 | 1210 | 0.0130 | 0.8203 | 0.8789 | 0.9961 | 0.7595 | 0.6446 |
178
+ | 0.0083 | 244.0 | 1220 | 0.0141 | 0.8168 | 0.8636 | 0.9961 | 0.7285 | 0.6374 |
179
+ | 0.0053 | 246.0 | 1230 | 0.0150 | 0.8142 | 0.8628 | 0.9960 | 0.7271 | 0.6324 |
180
+ | 0.0041 | 248.0 | 1240 | 0.0153 | 0.8117 | 0.8584 | 0.9960 | 0.7182 | 0.6273 |
181
+ | 0.0086 | 250.0 | 1250 | 0.0149 | 0.8115 | 0.8625 | 0.9960 | 0.7266 | 0.6270 |
182
+ | 0.0058 | 252.0 | 1260 | 0.0135 | 0.8157 | 0.8681 | 0.9960 | 0.7377 | 0.6353 |
183
+ | 0.0078 | 254.0 | 1270 | 0.0141 | 0.8127 | 0.8625 | 0.9960 | 0.7264 | 0.6295 |
184
+ | 0.0068 | 256.0 | 1280 | 0.0142 | 0.8138 | 0.8644 | 0.9960 | 0.7303 | 0.6317 |
185
+ | 0.0055 | 258.0 | 1290 | 0.0141 | 0.8143 | 0.8646 | 0.9960 | 0.7308 | 0.6326 |
186
+ | 0.0068 | 260.0 | 1300 | 0.0144 | 0.8113 | 0.8563 | 0.9960 | 0.7140 | 0.6265 |
187
+ | 0.0046 | 262.0 | 1310 | 0.0138 | 0.8159 | 0.8745 | 0.9960 | 0.7507 | 0.6358 |
188
+ | 0.0048 | 264.0 | 1320 | 0.0146 | 0.8122 | 0.8538 | 0.9961 | 0.7088 | 0.6284 |
189
+ | 0.0075 | 266.0 | 1330 | 0.0147 | 0.8117 | 0.8632 | 0.9960 | 0.7278 | 0.6275 |
190
+ | 0.0046 | 268.0 | 1340 | 0.0136 | 0.8168 | 0.8685 | 0.9961 | 0.7385 | 0.6375 |
191
+ | 0.0054 | 270.0 | 1350 | 0.0136 | 0.8172 | 0.8719 | 0.9960 | 0.7453 | 0.6385 |
192
+ | 0.0065 | 272.0 | 1360 | 0.0134 | 0.8177 | 0.8679 | 0.9961 | 0.7373 | 0.6393 |
193
+ | 0.006 | 274.0 | 1370 | 0.0142 | 0.8120 | 0.8613 | 0.9960 | 0.7241 | 0.6281 |
194
+ | 0.0083 | 276.0 | 1380 | 0.0137 | 0.8141 | 0.8599 | 0.9961 | 0.7211 | 0.6322 |
195
+ | 0.0051 | 278.0 | 1390 | 0.0135 | 0.8155 | 0.8648 | 0.9961 | 0.7310 | 0.6349 |
196
+ | 0.0048 | 280.0 | 1400 | 0.0127 | 0.8201 | 0.8784 | 0.9961 | 0.7584 | 0.6442 |
197
+ | 0.007 | 282.0 | 1410 | 0.0128 | 0.8175 | 0.8617 | 0.9962 | 0.7247 | 0.6388 |
198
+ | 0.0065 | 284.0 | 1420 | 0.0135 | 0.8151 | 0.8646 | 0.9961 | 0.7307 | 0.6343 |
199
+ | 0.0064 | 286.0 | 1430 | 0.0133 | 0.8156 | 0.8651 | 0.9961 | 0.7317 | 0.6351 |
200
+ | 0.0048 | 288.0 | 1440 | 0.0132 | 0.8150 | 0.8638 | 0.9961 | 0.7290 | 0.6339 |
201
+ | 0.0095 | 290.0 | 1450 | 0.0140 | 0.8114 | 0.8576 | 0.9960 | 0.7165 | 0.6269 |
202
+ | 0.0045 | 292.0 | 1460 | 0.0137 | 0.8154 | 0.8665 | 0.9960 | 0.7345 | 0.6347 |
203
+ | 0.0115 | 294.0 | 1470 | 0.0134 | 0.8163 | 0.8661 | 0.9961 | 0.7337 | 0.6365 |
204
+ | 0.005 | 296.0 | 1480 | 0.0134 | 0.8156 | 0.8623 | 0.9961 | 0.7259 | 0.6351 |
205
+ | 0.0058 | 298.0 | 1490 | 0.0139 | 0.8145 | 0.8627 | 0.9961 | 0.7269 | 0.6330 |
206
+ | 0.007 | 300.0 | 1500 | 0.0135 | 0.8163 | 0.8665 | 0.9961 | 0.7344 | 0.6366 |
207
+ | 0.0054 | 302.0 | 1510 | 0.0137 | 0.8139 | 0.8609 | 0.9961 | 0.7232 | 0.6318 |
208
+ | 0.0065 | 304.0 | 1520 | 0.0133 | 0.8173 | 0.8689 | 0.9961 | 0.7393 | 0.6386 |
209
+ | 0.0028 | 306.0 | 1530 | 0.0139 | 0.8125 | 0.8595 | 0.9960 | 0.7204 | 0.6291 |
210
+ | 0.0058 | 308.0 | 1540 | 0.0139 | 0.8140 | 0.8626 | 0.9960 | 0.7266 | 0.6320 |
211
+ | 0.0049 | 310.0 | 1550 | 0.0135 | 0.8159 | 0.8628 | 0.9961 | 0.7269 | 0.6357 |
212
+ | 0.0063 | 312.0 | 1560 | 0.0139 | 0.8155 | 0.8623 | 0.9961 | 0.7259 | 0.6349 |
213
+ | 0.0046 | 314.0 | 1570 | 0.0138 | 0.8157 | 0.8641 | 0.9961 | 0.7296 | 0.6354 |
214
+ | 0.0126 | 316.0 | 1580 | 0.0140 | 0.8143 | 0.8604 | 0.9961 | 0.7222 | 0.6325 |
215
+ | 0.0055 | 318.0 | 1590 | 0.0143 | 0.8123 | 0.8576 | 0.9960 | 0.7165 | 0.6285 |
216
+ | 0.0048 | 320.0 | 1600 | 0.0143 | 0.8127 | 0.8616 | 0.9960 | 0.7246 | 0.6293 |
217
+ | 0.0057 | 322.0 | 1610 | 0.0132 | 0.8192 | 0.8726 | 0.9961 | 0.7468 | 0.6424 |
218
+ | 0.0064 | 324.0 | 1620 | 0.0143 | 0.8126 | 0.8588 | 0.9960 | 0.7189 | 0.6291 |
219
+ | 0.0046 | 326.0 | 1630 | 0.0145 | 0.8134 | 0.8608 | 0.9960 | 0.7231 | 0.6308 |
220
+ | 0.0054 | 328.0 | 1640 | 0.0140 | 0.8151 | 0.8603 | 0.9961 | 0.7219 | 0.6342 |
221
+ | 0.0063 | 330.0 | 1650 | 0.0138 | 0.8163 | 0.8634 | 0.9961 | 0.7282 | 0.6365 |
222
+ | 0.0044 | 332.0 | 1660 | 0.0138 | 0.8161 | 0.8619 | 0.9961 | 0.7252 | 0.6362 |
223
+ | 0.0035 | 334.0 | 1670 | 0.0141 | 0.8154 | 0.8632 | 0.9961 | 0.7278 | 0.6347 |
224
+ | 0.0059 | 336.0 | 1680 | 0.0143 | 0.8150 | 0.8604 | 0.9961 | 0.7220 | 0.6340 |
225
+ | 0.0049 | 338.0 | 1690 | 0.0136 | 0.8180 | 0.8692 | 0.9961 | 0.7400 | 0.6400 |
226
+ | 0.0092 | 340.0 | 1700 | 0.0138 | 0.8177 | 0.8684 | 0.9961 | 0.7382 | 0.6393 |
227
+ | 0.007 | 342.0 | 1710 | 0.0149 | 0.8129 | 0.8566 | 0.9961 | 0.7145 | 0.6297 |
228
+ | 0.0079 | 344.0 | 1720 | 0.0144 | 0.8152 | 0.8637 | 0.9961 | 0.7289 | 0.6344 |
229
+ | 0.0043 | 346.0 | 1730 | 0.0148 | 0.8139 | 0.8603 | 0.9961 | 0.7220 | 0.6318 |
230
+ | 0.0066 | 348.0 | 1740 | 0.0154 | 0.8110 | 0.8582 | 0.9960 | 0.7177 | 0.6260 |
231
+ | 0.0072 | 350.0 | 1750 | 0.0148 | 0.8142 | 0.8618 | 0.9961 | 0.7250 | 0.6323 |
232
+ | 0.0048 | 352.0 | 1760 | 0.0141 | 0.8158 | 0.8658 | 0.9961 | 0.7330 | 0.6356 |
233
+ | 0.0062 | 354.0 | 1770 | 0.0141 | 0.8147 | 0.8650 | 0.9960 | 0.7314 | 0.6334 |
234
+ | 0.005 | 356.0 | 1780 | 0.0148 | 0.8121 | 0.8565 | 0.9960 | 0.7143 | 0.6283 |
235
+ | 0.0039 | 358.0 | 1790 | 0.0138 | 0.8187 | 0.8690 | 0.9961 | 0.7395 | 0.6412 |
236
+ | 0.0058 | 360.0 | 1800 | 0.0137 | 0.8186 | 0.8680 | 0.9961 | 0.7375 | 0.6411 |
237
+ | 0.0044 | 362.0 | 1810 | 0.0142 | 0.8155 | 0.8620 | 0.9961 | 0.7254 | 0.6350 |
238
+ | 0.0061 | 364.0 | 1820 | 0.0140 | 0.8174 | 0.8679 | 0.9961 | 0.7373 | 0.6387 |
239
+ | 0.0065 | 366.0 | 1830 | 0.0138 | 0.8180 | 0.8685 | 0.9961 | 0.7385 | 0.6400 |
240
+ | 0.0052 | 368.0 | 1840 | 0.0142 | 0.8150 | 0.8619 | 0.9961 | 0.7252 | 0.6340 |
241
+ | 0.0053 | 370.0 | 1850 | 0.0144 | 0.8128 | 0.8566 | 0.9961 | 0.7145 | 0.6296 |
242
+ | 0.0076 | 372.0 | 1860 | 0.0142 | 0.8145 | 0.8627 | 0.9961 | 0.7268 | 0.6329 |
243
+ | 0.0068 | 374.0 | 1870 | 0.0140 | 0.8164 | 0.8669 | 0.9961 | 0.7354 | 0.6368 |
244
+ | 0.0049 | 376.0 | 1880 | 0.0143 | 0.8151 | 0.8627 | 0.9961 | 0.7267 | 0.6343 |
245
+ | 0.0051 | 378.0 | 1890 | 0.0149 | 0.8115 | 0.8585 | 0.9960 | 0.7183 | 0.6269 |
246
+ | 0.0057 | 380.0 | 1900 | 0.0147 | 0.8131 | 0.8611 | 0.9960 | 0.7235 | 0.6301 |
247
+ | 0.0113 | 382.0 | 1910 | 0.0143 | 0.8146 | 0.8616 | 0.9961 | 0.7246 | 0.6332 |
248
+ | 0.0058 | 384.0 | 1920 | 0.0143 | 0.8140 | 0.8610 | 0.9961 | 0.7235 | 0.6319 |
249
+ | 0.0039 | 386.0 | 1930 | 0.0142 | 0.8143 | 0.8640 | 0.9960 | 0.7294 | 0.6326 |
250
+ | 0.0047 | 388.0 | 1940 | 0.0145 | 0.8133 | 0.8606 | 0.9960 | 0.7225 | 0.6306 |
251
+ | 0.0118 | 390.0 | 1950 | 0.0142 | 0.8145 | 0.8617 | 0.9961 | 0.7249 | 0.6330 |
252
+ | 0.0067 | 392.0 | 1960 | 0.0144 | 0.8140 | 0.8612 | 0.9961 | 0.7237 | 0.6319 |
253
+ | 0.0086 | 394.0 | 1970 | 0.0145 | 0.8130 | 0.8589 | 0.9960 | 0.7191 | 0.6300 |
254
+ | 0.0052 | 396.0 | 1980 | 0.0143 | 0.8152 | 0.8652 | 0.9960 | 0.7319 | 0.6343 |
255
+ | 0.0057 | 398.0 | 1990 | 0.0141 | 0.8158 | 0.8626 | 0.9961 | 0.7265 | 0.6356 |
256
+ | 0.0045 | 400.0 | 2000 | 0.0134 | 0.8195 | 0.8685 | 0.9962 | 0.7384 | 0.6429 |
257
+ | 0.005 | 402.0 | 2010 | 0.0141 | 0.8135 | 0.8583 | 0.9961 | 0.7180 | 0.6309 |
258
+ | 0.0035 | 404.0 | 2020 | 0.0143 | 0.8130 | 0.8594 | 0.9960 | 0.7202 | 0.6300 |
259
+ | 0.0043 | 406.0 | 2030 | 0.0137 | 0.8166 | 0.8654 | 0.9961 | 0.7322 | 0.6371 |
260
+ | 0.0041 | 408.0 | 2040 | 0.0144 | 0.8134 | 0.8583 | 0.9961 | 0.7180 | 0.6307 |
261
+ | 0.0052 | 410.0 | 2050 | 0.0144 | 0.8145 | 0.8630 | 0.9960 | 0.7275 | 0.6330 |
262
+ | 0.0046 | 412.0 | 2060 | 0.0145 | 0.8139 | 0.8612 | 0.9960 | 0.7238 | 0.6318 |
263
+ | 0.0042 | 414.0 | 2070 | 0.0147 | 0.8115 | 0.8553 | 0.9960 | 0.7119 | 0.6271 |
264
+ | 0.0047 | 416.0 | 2080 | 0.0149 | 0.8107 | 0.8554 | 0.9960 | 0.7121 | 0.6254 |
265
+ | 0.0034 | 418.0 | 2090 | 0.0144 | 0.8139 | 0.8629 | 0.9960 | 0.7271 | 0.6318 |
266
+ | 0.0056 | 420.0 | 2100 | 0.0141 | 0.8139 | 0.8611 | 0.9961 | 0.7236 | 0.6318 |
267
+ | 0.0057 | 422.0 | 2110 | 0.0145 | 0.8129 | 0.8594 | 0.9960 | 0.7202 | 0.6298 |
268
+ | 0.0103 | 424.0 | 2120 | 0.0144 | 0.8130 | 0.8599 | 0.9960 | 0.7212 | 0.6299 |
269
+ | 0.007 | 426.0 | 2130 | 0.0143 | 0.8138 | 0.8604 | 0.9961 | 0.7221 | 0.6315 |
270
+ | 0.0059 | 428.0 | 2140 | 0.0143 | 0.8138 | 0.8597 | 0.9961 | 0.7207 | 0.6316 |
271
+ | 0.0074 | 430.0 | 2150 | 0.0146 | 0.8130 | 0.8593 | 0.9960 | 0.7199 | 0.6300 |
272
+ | 0.0048 | 432.0 | 2160 | 0.0144 | 0.8147 | 0.8638 | 0.9960 | 0.7290 | 0.6334 |
273
+ | 0.005 | 434.0 | 2170 | 0.0148 | 0.8128 | 0.8586 | 0.9960 | 0.7185 | 0.6297 |
274
+ | 0.0062 | 436.0 | 2180 | 0.0147 | 0.8144 | 0.8614 | 0.9961 | 0.7241 | 0.6327 |
275
+ | 0.0047 | 438.0 | 2190 | 0.0143 | 0.8160 | 0.8644 | 0.9961 | 0.7301 | 0.6359 |
276
+ | 0.005 | 440.0 | 2200 | 0.0143 | 0.8152 | 0.8627 | 0.9961 | 0.7267 | 0.6343 |
277
+ | 0.0079 | 442.0 | 2210 | 0.0142 | 0.8151 | 0.8634 | 0.9961 | 0.7283 | 0.6342 |
278
+ | 0.0073 | 444.0 | 2220 | 0.0148 | 0.8133 | 0.8587 | 0.9961 | 0.7187 | 0.6305 |
279
+ | 0.0052 | 446.0 | 2230 | 0.0150 | 0.8124 | 0.8571 | 0.9960 | 0.7154 | 0.6288 |
280
+ | 0.007 | 448.0 | 2240 | 0.0147 | 0.8144 | 0.8617 | 0.9961 | 0.7248 | 0.6327 |
281
+ | 0.0048 | 450.0 | 2250 | 0.0144 | 0.8150 | 0.8622 | 0.9961 | 0.7257 | 0.6339 |
282
+ | 0.0049 | 452.0 | 2260 | 0.0149 | 0.8134 | 0.8586 | 0.9961 | 0.7185 | 0.6307 |
283
+ | 0.0058 | 454.0 | 2270 | 0.0146 | 0.8144 | 0.8615 | 0.9961 | 0.7244 | 0.6327 |
284
+ | 0.0031 | 456.0 | 2280 | 0.0143 | 0.8150 | 0.8624 | 0.9961 | 0.7262 | 0.6340 |
285
+ | 0.0038 | 458.0 | 2290 | 0.0143 | 0.8156 | 0.8625 | 0.9961 | 0.7264 | 0.6352 |
286
+ | 0.0111 | 460.0 | 2300 | 0.0147 | 0.8138 | 0.8595 | 0.9961 | 0.7204 | 0.6316 |
287
+ | 0.0072 | 462.0 | 2310 | 0.0148 | 0.8131 | 0.8579 | 0.9961 | 0.7172 | 0.6302 |
288
+ | 0.0049 | 464.0 | 2320 | 0.0150 | 0.8123 | 0.8568 | 0.9960 | 0.7149 | 0.6286 |
289
+ | 0.0073 | 466.0 | 2330 | 0.0148 | 0.8129 | 0.8576 | 0.9961 | 0.7166 | 0.6298 |
290
+ | 0.0044 | 468.0 | 2340 | 0.0142 | 0.8147 | 0.8616 | 0.9961 | 0.7246 | 0.6334 |
291
+ | 0.0053 | 470.0 | 2350 | 0.0146 | 0.8140 | 0.8599 | 0.9961 | 0.7211 | 0.6319 |
292
+ | 0.0064 | 472.0 | 2360 | 0.0149 | 0.8115 | 0.8556 | 0.9960 | 0.7124 | 0.6270 |
293
+ | 0.0045 | 474.0 | 2370 | 0.0151 | 0.8120 | 0.8571 | 0.9960 | 0.7156 | 0.6279 |
294
+ | 0.0069 | 476.0 | 2380 | 0.0151 | 0.8118 | 0.8568 | 0.9960 | 0.7149 | 0.6276 |
295
+ | 0.0028 | 478.0 | 2390 | 0.0150 | 0.8125 | 0.8576 | 0.9960 | 0.7165 | 0.6290 |
296
+ | 0.0034 | 480.0 | 2400 | 0.0149 | 0.8131 | 0.8588 | 0.9960 | 0.7190 | 0.6302 |
297
+ | 0.0035 | 482.0 | 2410 | 0.0146 | 0.8137 | 0.8600 | 0.9961 | 0.7213 | 0.6313 |
298
+ | 0.0071 | 484.0 | 2420 | 0.0148 | 0.8131 | 0.8581 | 0.9961 | 0.7174 | 0.6301 |
299
+ | 0.0062 | 486.0 | 2430 | 0.0150 | 0.8127 | 0.8578 | 0.9960 | 0.7168 | 0.6293 |
300
+ | 0.0054 | 488.0 | 2440 | 0.0149 | 0.8120 | 0.8564 | 0.9960 | 0.7140 | 0.6280 |
301
+ | 0.0053 | 490.0 | 2450 | 0.0150 | 0.8117 | 0.8554 | 0.9960 | 0.7120 | 0.6274 |
302
+ | 0.0076 | 492.0 | 2460 | 0.0150 | 0.8122 | 0.8567 | 0.9960 | 0.7147 | 0.6283 |
303
+ | 0.0045 | 494.0 | 2470 | 0.0150 | 0.8119 | 0.8560 | 0.9960 | 0.7132 | 0.6278 |
304
+ | 0.0059 | 496.0 | 2480 | 0.0150 | 0.8120 | 0.8562 | 0.9960 | 0.7138 | 0.6279 |
305
+ | 0.0044 | 498.0 | 2490 | 0.0149 | 0.8124 | 0.8573 | 0.9960 | 0.7160 | 0.6287 |
306
+ | 0.0021 | 500.0 | 2500 | 0.0148 | 0.8127 | 0.8577 | 0.9960 | 0.7167 | 0.6293 |
307
 
308
 
309
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:741bc6cb98dc52cc1df77aa9d7f7991e05519e1cff94efb8cc2ec0f0942c3f65
3
  size 14884776
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f7ca8fbc198df4716424cd74f4d5030d80788cd0035ebfb9b27e518558ae4d94
3
  size 14884776
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:00f7c30fee8fb333c75dcc5c84466e0b6bc45e7ef8616161e1332d744b0d38fd
3
  size 5777
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8937097f184fecf2e30b7d7de98ed334c38576273cacee071d8e3b37b5a0b739
3
  size 5777