JYP2024 commited on
Commit
09c9ee3
·
0 Parent(s):

Initial upload: Wedefense ASV2025 WavLM Base Pruning

Browse files
.gitattributes ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ *.bin filter=lfs diff=lfs merge=lfs -text
2
+ *.ckpt filter=lfs diff=lfs merge=lfs -text
3
+ *.pth filter=lfs diff=lfs merge=lfs -text
4
+ *.pt filter=lfs diff=lfs merge=lfs -text
5
+ posteriors/eval/llr.txt filter=lfs diff=lfs merge=lfs -text
config.yaml ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ data_type: shard
2
+ dataloader_args:
3
+ batch_size: 32
4
+ drop_last: true
5
+ num_workers: 6
6
+ pin_memory: false
7
+ prefetch_factor: 8
8
+ dataset_args:
9
+ aug_prob: 0.8
10
+ cmvn: true
11
+ cmvn_args:
12
+ norm_mean: true
13
+ norm_var: false
14
+ filter: true
15
+ filter_args:
16
+ max_num_frames: 400
17
+ min_num_frames: 50
18
+ frontend: huggingface
19
+ huggingface_args:
20
+ download_dir: ./s3prl_hub
21
+ frame_length: 20
22
+ frame_shift: 20
23
+ upstream_args:
24
+ name: wavlm_base
25
+ path_or_url: /mnt/matylda6/pengjy/shared_model_weights/lin/wedefense/egs/detection/partialspoof/v15_ssl_mhfa_pruning/convert/wavlm_base_plus_hf/wavlm-base-plus.hf.pth
26
+ pruning_units: conv,head,attlayer,interm,ffnlayer
27
+ num_frms: 150
28
+ resample_rate: 16000
29
+ sample_num_per_epoch: 0
30
+ shuffle: true
31
+ shuffle_args:
32
+ shuffle_size: 2500
33
+ spec_aug: false
34
+ spec_aug_args:
35
+ max_f: 8
36
+ max_t: 10
37
+ num_f_mask: 1
38
+ num_t_mask: 1
39
+ prob: 0.6
40
+ speed_perturb: false
41
+ enable_amp: false
42
+ exp_dir: exp/v4/MHFA_wavlm_s10
43
+ gpus:
44
+ - 5
45
+ initial_reg_lr: 0.005
46
+ log_batch_interval: 100
47
+ loss: CrossEntropyLoss
48
+ loss_args: {}
49
+ margin_scheduler: MarginScheduler
50
+ margin_update:
51
+ epoch_iter: 5698
52
+ final_margin: 0.0
53
+ fix_start_epoch: 40
54
+ increase_start_epoch: 20
55
+ increase_type: exp
56
+ initial_margin: 0.0
57
+ update_margin: true
58
+ model: SSL_BACKEND_MHFA
59
+ model_args:
60
+ compression_dim: 128
61
+ embed_dim: 256
62
+ feat_dim: 768
63
+ feature_grad_mult: 0.1
64
+ head_nb: 32
65
+ nb_layer: 13
66
+ model_init: null
67
+ noise_data: data/asv5/musan/lmdb
68
+ num_avg: 2
69
+ num_epochs: 5
70
+ optimizer: AdamW
71
+ optimizer_args:
72
+ lr: 1.0e-05
73
+ weight_decay: 1.0e-07
74
+ original_ssl_num_params: 94422296
75
+ projection_args:
76
+ do_lm: false
77
+ easy_margin: false
78
+ embed_dim: 256
79
+ num_class: 2
80
+ project_type: softmax
81
+ scale: 32.0
82
+ reg_lr: 0.005
83
+ reverb_data: data/asv5/rirs/lmdb/lmdb
84
+ save_epoch_interval: 1
85
+ scheduler: ExponentialDecrease
86
+ scheduler_args:
87
+ epoch_iter: 5698
88
+ final_lr: 1.0e-06
89
+ initial_lr: 1.0e-05
90
+ num_epochs: 5
91
+ scale_ratio: 0.5
92
+ warm_from_zero: true
93
+ warm_up_epoch: 2
94
+ seed: 19940716
95
+ sparsity_warmup_epochs: 4
96
+ target_sparsity: 0.1
97
+ train_data: data/asv5/train/shard.list
98
+ train_label: data/asv5/train/utt2cls
99
+ use_pruning_loss: true
config_ori.yaml ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ data_type: shard
2
+ dataloader_args:
3
+ batch_size: 32
4
+ drop_last: true
5
+ num_workers: 6
6
+ pin_memory: false
7
+ prefetch_factor: 8
8
+ dataset_args:
9
+ aug_prob: 0.8
10
+ cmvn: true
11
+ cmvn_args:
12
+ norm_mean: true
13
+ norm_var: false
14
+ filter: true
15
+ filter_args:
16
+ max_num_frames: 400
17
+ min_num_frames: 50
18
+ frontend: huggingface
19
+ huggingface_args:
20
+ download_dir: ./s3prl_hub
21
+ frame_length: 20
22
+ frame_shift: 20
23
+ upstream_args:
24
+ name: wavlm_base
25
+ path_or_url: /mnt/matylda6/pengjy/shared_model_weights/lin/wedefense/egs/detection/partialspoof/v15_ssl_mhfa_pruning/convert/wavlm_base_plus_hf/wavlm-base-plus.hf.pth
26
+ pruning_units: conv,head,attlayer,interm,ffnlayer
27
+ num_frms: 150
28
+ resample_rate: 16000
29
+ sample_num_per_epoch: 0
30
+ shuffle: true
31
+ shuffle_args:
32
+ shuffle_size: 2500
33
+ spec_aug: false
34
+ spec_aug_args:
35
+ max_f: 8
36
+ max_t: 10
37
+ num_f_mask: 1
38
+ num_t_mask: 1
39
+ prob: 0.6
40
+ speed_perturb: false
41
+ enable_amp: false
42
+ exp_dir: exp/v4/MHFA_wavlm_s10
43
+ gpus:
44
+ - 5
45
+ initial_reg_lr: 0.005
46
+ log_batch_interval: 100
47
+ loss: CrossEntropyLoss
48
+ loss_args: {}
49
+ margin_scheduler: MarginScheduler
50
+ margin_update:
51
+ epoch_iter: 5698
52
+ final_margin: 0.0
53
+ fix_start_epoch: 40
54
+ increase_start_epoch: 20
55
+ increase_type: exp
56
+ initial_margin: 0.0
57
+ update_margin: true
58
+ model: SSL_BACKEND_MHFA
59
+ model_args:
60
+ compression_dim: 128
61
+ embed_dim: 256
62
+ feat_dim: 768
63
+ feature_grad_mult: 0.1
64
+ head_nb: 32
65
+ nb_layer: 13
66
+ model_init: null
67
+ noise_data: data/asv5/musan/lmdb
68
+ num_avg: 2
69
+ num_epochs: 5
70
+ optimizer: AdamW
71
+ optimizer_args:
72
+ lr: 1.0e-05
73
+ weight_decay: 1.0e-07
74
+ original_ssl_num_params: 94422296
75
+ projection_args:
76
+ do_lm: false
77
+ easy_margin: false
78
+ embed_dim: 256
79
+ num_class: 2
80
+ project_type: softmax
81
+ scale: 32.0
82
+ reg_lr: 0.005
83
+ reverb_data: data/asv5/rirs/lmdb/lmdb
84
+ save_epoch_interval: 1
85
+ scheduler: ExponentialDecrease
86
+ scheduler_args:
87
+ epoch_iter: 5698
88
+ final_lr: 1.0e-06
89
+ initial_lr: 1.0e-05
90
+ num_epochs: 5
91
+ scale_ratio: 0.5
92
+ warm_from_zero: true
93
+ warm_up_epoch: 2
94
+ seed: 19940716
95
+ sparsity_warmup_epochs: 4
96
+ target_sparsity: 0.1
97
+ train_data: data/asv5/train/shard.list
98
+ train_label: data/asv5/train/utt2cls
99
+ use_pruning_loss: true
config_pruned.yaml ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ data_type: shard
2
+ dataloader_args:
3
+ batch_size: 32
4
+ drop_last: true
5
+ num_workers: 6
6
+ pin_memory: false
7
+ prefetch_factor: 8
8
+ dataset_args:
9
+ aug_prob: 0.8
10
+ cmvn: true
11
+ cmvn_args:
12
+ norm_mean: true
13
+ norm_var: false
14
+ filter: true
15
+ filter_args:
16
+ max_num_frames: 400
17
+ min_num_frames: 50
18
+ frontend: huggingface
19
+ huggingface_args:
20
+ download_dir: ./s3prl_hub
21
+ frame_length: 20
22
+ frame_shift: 20
23
+ upstream_args:
24
+ name: wavlm_base
25
+ path_or_url: exp/v4/MHFA_wavlm_s10/pruned_model/pytorch_model.bin
26
+ pruning_units: ""
27
+ num_frms: 150
28
+ resample_rate: 16000
29
+ sample_num_per_epoch: 0
30
+ shuffle: true
31
+ shuffle_args:
32
+ shuffle_size: 2500
33
+ spec_aug: false
34
+ spec_aug_args:
35
+ max_f: 8
36
+ max_t: 10
37
+ num_f_mask: 1
38
+ num_t_mask: 1
39
+ prob: 0.6
40
+ speed_perturb: false
41
+ enable_amp: false
42
+ exp_dir: exp/v4/MHFA_wavlm_s10
43
+ gpus:
44
+ - 5
45
+ initial_reg_lr: 0.005
46
+ log_batch_interval: 100
47
+ loss: CrossEntropyLoss
48
+ loss_args: {}
49
+ margin_scheduler: MarginScheduler
50
+ margin_update:
51
+ epoch_iter: 5698
52
+ final_margin: 0.0
53
+ fix_start_epoch: 40
54
+ increase_start_epoch: 20
55
+ increase_type: exp
56
+ initial_margin: 0.0
57
+ update_margin: true
58
+ model: SSL_BACKEND_MHFA
59
+ model_args:
60
+ compression_dim: 128
61
+ embed_dim: 256
62
+ feat_dim: 768
63
+ feature_grad_mult: 0.1
64
+ head_nb: 32
65
+ nb_layer: 13
66
+ model_init: null
67
+ noise_data: data/asv5/musan/lmdb
68
+ num_avg: 2
69
+ num_epochs: 5
70
+ optimizer: AdamW
71
+ optimizer_args:
72
+ lr: 1.0e-05
73
+ weight_decay: 1.0e-07
74
+ original_ssl_num_params: 94422296
75
+ projection_args:
76
+ do_lm: false
77
+ easy_margin: false
78
+ embed_dim: 256
79
+ num_class: 2
80
+ project_type: softmax
81
+ scale: 32.0
82
+ reg_lr: 0.005
83
+ reverb_data: data/asv5/rirs/lmdb/lmdb
84
+ save_epoch_interval: 1
85
+ scheduler: ExponentialDecrease
86
+ scheduler_args:
87
+ epoch_iter: 5698
88
+ final_lr: 1.0e-06
89
+ initial_lr: 1.0e-05
90
+ num_epochs: 5
91
+ scale_ratio: 0.5
92
+ warm_from_zero: true
93
+ warm_up_epoch: 2
94
+ seed: 19940716
95
+ sparsity_warmup_epochs: 4
96
+ target_sparsity: 0.1
97
+ train_data: data/asv5/train/shard.list
98
+ train_label: data/asv5/train/utt2cls
99
+ use_pruning_loss: true
models/avg_model.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a00752cbcef5cd29162409ad3959df02f290a38c938418bc612be88c7e266ed9
3
+ size 382831435
models/final_model.pt ADDED
@@ -0,0 +1 @@
 
 
1
+ model_5.pt
posteriors/dev/detection_result.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+
2
+ CM SYSTEM
3
+ min DCF = 0.039473403417464074 (min DCF for countermeasure)
4
+ EER = 1.547073258 % (EER for countermeasure)
5
+ CLLR = 0.843564424 bits (CLLR for countermeasure)
6
+ actDCF = 0.274183881538423 (actual DCF)
posteriors/dev/llr.txt ADDED
The diff for this file is too large to render. See raw diff
 
posteriors/eval/detection_result.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+
2
+ CM SYSTEM
3
+ min DCF = 0.1027632411703683 (min DCF for countermeasure)
4
+ EER = 3.758075484 % (EER for countermeasure)
5
+ CLLR = 0.894263566 bits (CLLR for countermeasure)
6
+ actDCF = 0.3162947280593415 (actual DCF)
posteriors/eval/llr.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dec1e8d4b9273ed415a24f6d3ee53c3fca61bc7cc0e40f2f031cf948db1ba576
3
+ size 21818215
pruned_model/pruned_config.json ADDED
@@ -0,0 +1,285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "extractor_mode": "group_norm",
3
+ "extractor_conv_layer_config": [
4
+ [
5
+ 512,
6
+ 10,
7
+ 5
8
+ ],
9
+ [
10
+ 512,
11
+ 3,
12
+ 2
13
+ ],
14
+ [
15
+ 512,
16
+ 3,
17
+ 2
18
+ ],
19
+ [
20
+ 512,
21
+ 3,
22
+ 2
23
+ ],
24
+ [
25
+ 512,
26
+ 3,
27
+ 2
28
+ ],
29
+ [
30
+ 512,
31
+ 2,
32
+ 2
33
+ ],
34
+ [
35
+ 512,
36
+ 2,
37
+ 2
38
+ ]
39
+ ],
40
+ "extractor_conv_bias": false,
41
+ "encoder_embed_dim": 768,
42
+ "encoder_projection_dropout": 0.1,
43
+ "encoder_pos_conv_kernel": 128,
44
+ "encoder_pos_conv_groups": 16,
45
+ "encoder_num_layers": 12,
46
+ "encoder_use_attention": [
47
+ true,
48
+ true,
49
+ true,
50
+ true,
51
+ true,
52
+ true,
53
+ true,
54
+ true,
55
+ true,
56
+ true,
57
+ true,
58
+ true
59
+ ],
60
+ "encoder_use_feed_forward": [
61
+ true,
62
+ true,
63
+ true,
64
+ true,
65
+ true,
66
+ true,
67
+ true,
68
+ true,
69
+ true,
70
+ true,
71
+ true,
72
+ false
73
+ ],
74
+ "encoder_total_num_heads": [
75
+ 12,
76
+ 12,
77
+ 12,
78
+ 12,
79
+ 12,
80
+ 12,
81
+ 12,
82
+ 12,
83
+ 12,
84
+ 12,
85
+ 12,
86
+ 12
87
+ ],
88
+ "encoder_remaining_heads": [
89
+ [
90
+ 0,
91
+ 1,
92
+ 2,
93
+ 3,
94
+ 4,
95
+ 5,
96
+ 6,
97
+ 7,
98
+ 8,
99
+ 9,
100
+ 10,
101
+ 11
102
+ ],
103
+ [
104
+ 0,
105
+ 1,
106
+ 2,
107
+ 3,
108
+ 4,
109
+ 5,
110
+ 6,
111
+ 7,
112
+ 8,
113
+ 9,
114
+ 10,
115
+ 11
116
+ ],
117
+ [
118
+ 0,
119
+ 1,
120
+ 2,
121
+ 3,
122
+ 4,
123
+ 5,
124
+ 6,
125
+ 7,
126
+ 8,
127
+ 9,
128
+ 10,
129
+ 11
130
+ ],
131
+ [
132
+ 0,
133
+ 1,
134
+ 2,
135
+ 3,
136
+ 4,
137
+ 5,
138
+ 6,
139
+ 7,
140
+ 8,
141
+ 9,
142
+ 10,
143
+ 11
144
+ ],
145
+ [
146
+ 0,
147
+ 1,
148
+ 2,
149
+ 3,
150
+ 4,
151
+ 5,
152
+ 6,
153
+ 7,
154
+ 8,
155
+ 9,
156
+ 10,
157
+ 11
158
+ ],
159
+ [
160
+ 0,
161
+ 1,
162
+ 2,
163
+ 3,
164
+ 4,
165
+ 5,
166
+ 6,
167
+ 7,
168
+ 8,
169
+ 9,
170
+ 10,
171
+ 11
172
+ ],
173
+ [
174
+ 0,
175
+ 1,
176
+ 2,
177
+ 3,
178
+ 4,
179
+ 5,
180
+ 6,
181
+ 7,
182
+ 8,
183
+ 9,
184
+ 10,
185
+ 11
186
+ ],
187
+ [
188
+ 0,
189
+ 1,
190
+ 2,
191
+ 3,
192
+ 4,
193
+ 5,
194
+ 6,
195
+ 7,
196
+ 8,
197
+ 9,
198
+ 10,
199
+ 11
200
+ ],
201
+ [
202
+ 0,
203
+ 1,
204
+ 2,
205
+ 3,
206
+ 4,
207
+ 5,
208
+ 6,
209
+ 7,
210
+ 8,
211
+ 9,
212
+ 10,
213
+ 11
214
+ ],
215
+ [
216
+ 0,
217
+ 1,
218
+ 2,
219
+ 3,
220
+ 4,
221
+ 5,
222
+ 6,
223
+ 7,
224
+ 8,
225
+ 9,
226
+ 10,
227
+ 11
228
+ ],
229
+ [
230
+ 0,
231
+ 1,
232
+ 2,
233
+ 3,
234
+ 4,
235
+ 5,
236
+ 6,
237
+ 7,
238
+ 8,
239
+ 9,
240
+ 10,
241
+ 11
242
+ ],
243
+ [
244
+ 1,
245
+ 2,
246
+ 3,
247
+ 4,
248
+ 5,
249
+ 7,
250
+ 8,
251
+ 9,
252
+ 10,
253
+ 11
254
+ ]
255
+ ],
256
+ "encoder_num_buckets": 320,
257
+ "encoder_max_distance": 800,
258
+ "encoder_attention_dropout": 0.1,
259
+ "encoder_ff_interm_features": [
260
+ 3036,
261
+ 3042,
262
+ 3047,
263
+ 3045,
264
+ 3045,
265
+ 3046,
266
+ 3043,
267
+ 3019,
268
+ 2561,
269
+ 1735,
270
+ 2311,
271
+ 2443
272
+ ],
273
+ "encoder_ff_interm_dropout": 0.0,
274
+ "encoder_dropout": 0.1,
275
+ "encoder_layer_norm_first": false,
276
+ "encoder_layer_drop": 0.05,
277
+ "aux_num_out": null,
278
+ "normalize_waveform": false,
279
+ "extractor_prune_conv_channels": false,
280
+ "encoder_prune_attention_heads": false,
281
+ "encoder_prune_attention_layer": false,
282
+ "encoder_prune_feed_forward_intermediate": false,
283
+ "encoder_prune_feed_forward_layer": false,
284
+ "use_layerwise_prune": false
285
+ }
pruned_model/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a478252dfa22e890cd473b6d151d9b987111ee81918301ab7c20f7059fc11d9
3
+ size 339565299
pruned_model/whole_pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2464865501f540a65c52a017c3718ee3c9c29b9f374bd340c08d2262b2caf024
3
+ size 344575987
train.log ADDED
@@ -0,0 +1,485 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [ INFO : 2025-07-02 14:35:32,407 ] - exp_dir is: exp/v4/MHFA_wavlm_s10
2
+ [ INFO : 2025-07-02 14:35:32,407 ] - <== Passed Arguments ==>
3
+ [ INFO : 2025-07-02 14:35:32,410 ] - {'data_type': 'shard',
4
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'dataloader_args': {'batch_size': 32,
5
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'drop_last': True,
6
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'num_workers': 6,
7
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'pin_memory': False,
8
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'prefetch_factor': 8},
9
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'dataset_args': {'aug_prob': 0.8,
10
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'cmvn': True,
11
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'cmvn_args': {'norm_mean': True, 'norm_var': False},
12
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'filter': True,
13
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'filter_args': {'max_num_frames': 400, 'min_num_frames': 50},
14
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'frontend': 'huggingface',
15
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'huggingface_args': {'download_dir': './s3prl_hub',
16
+ [ INFO : 2025-07-02 14:35:32,410 ] - 'frame_length': 20,
17
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'frame_shift': 20,
18
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'upstream_args': {'name': 'wavlm_base',
19
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'path_or_url': '/mnt/matylda6/pengjy/shared_model_weights/lin/wedefense/egs/detection/partialspoof/v15_ssl_mhfa_pruning/convert/wavlm_base_plus_hf/wavlm-base-plus.hf.pth',
20
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'pruning_units': 'conv,head,attlayer,interm,ffnlayer'}},
21
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'num_frms': 150,
22
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'resample_rate': 16000,
23
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'sample_num_per_epoch': 0,
24
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'shuffle': True,
25
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'shuffle_args': {'shuffle_size': 2500},
26
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'spec_aug': False,
27
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'spec_aug_args': {'max_f': 8,
28
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'max_t': 10,
29
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'num_f_mask': 1,
30
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'num_t_mask': 1,
31
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'prob': 0.6},
32
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'speed_perturb': False},
33
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'enable_amp': False,
34
+ [ INFO : 2025-07-02 14:35:32,411 ] - 'exp_dir': 'exp/v4/MHFA_wavlm_s10',
35
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'gpus': [5],
36
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'initial_reg_lr': 0.005,
37
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'log_batch_interval': 100,
38
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'loss': 'CrossEntropyLoss',
39
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'loss_args': {},
40
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'margin_scheduler': 'MarginScheduler',
41
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'margin_update': {'final_margin': 0.0,
42
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'fix_start_epoch': 40,
43
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'increase_start_epoch': 20,
44
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'increase_type': 'exp',
45
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'initial_margin': 0.0,
46
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'update_margin': True},
47
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'model': 'SSL_BACKEND_MHFA',
48
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'model_args': {'compression_dim': 128,
49
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'embed_dim': 256,
50
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'feat_dim': -1,
51
+ [ INFO : 2025-07-02 14:35:32,412 ] - 'feature_grad_mult': 0.1,
52
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'head_nb': 32,
53
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'nb_layer': 13},
54
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'model_init': None,
55
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'noise_data': 'data/asv5/musan/lmdb',
56
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'num_avg': 2,
57
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'num_epochs': 5,
58
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'optimizer': 'AdamW',
59
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'optimizer_args': {'weight_decay': 1e-07},
60
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'projection_args': {'easy_margin': False,
61
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'project_type': 'softmax',
62
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'scale': 32.0},
63
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'reverb_data': 'data/asv5/rirs/lmdb/lmdb',
64
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'save_epoch_interval': 1,
65
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'scheduler': 'ExponentialDecrease',
66
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'scheduler_args': {'final_lr': 1e-06,
67
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'initial_lr': 1e-05,
68
+ [ INFO : 2025-07-02 14:35:32,413 ] - 'warm_from_zero': True,
69
+ [ INFO : 2025-07-02 14:35:32,414 ] - 'warm_up_epoch': 2},
70
+ [ INFO : 2025-07-02 14:35:32,414 ] - 'seed': 19940716,
71
+ [ INFO : 2025-07-02 14:35:32,414 ] - 'sparsity_warmup_epochs': 4,
72
+ [ INFO : 2025-07-02 14:35:32,414 ] - 'target_sparsity': 0.1,
73
+ [ INFO : 2025-07-02 14:35:32,414 ] - 'train_data': 'data/asv5/train/shard.list',
74
+ [ INFO : 2025-07-02 14:35:32,414 ] - 'train_label': 'data/asv5/train/utt2cls',
75
+ [ INFO : 2025-07-02 14:35:32,414 ] - 'use_pruning_loss': True}
76
+ [ INFO : 2025-07-02 14:35:33,181 ] - <== Data statistics ==>
77
+ [ INFO : 2025-07-02 14:35:33,181 ] - train data num: 182357, class num: 2
78
+ [ INFO : 2025-07-02 14:35:33,398 ] - <== Dataloaders ==>
79
+ [ INFO : 2025-07-02 14:35:33,398 ] - train dataloaders created
80
+ [ INFO : 2025-07-02 14:35:33,398 ] - epoch iteration number: 5698
81
+ [ INFO : 2025-07-02 14:35:33,399 ] - <== Model ==>
82
+ [ INFO : 2025-07-02 14:35:39,654 ] - speaker_model size: 95672146
83
+ [ INFO : 2025-07-02 14:35:39,654 ] - Train model from scratch ...
84
+ [ INFO : 2025-07-02 14:35:39,656 ] - SSL_BACKEND_MHFA(
85
+ [ INFO : 2025-07-02 14:35:39,656 ] - (cmp_linear_k): Linear(in_features=768, out_features=128, bias=True)
86
+ [ INFO : 2025-07-02 14:35:39,656 ] - (cmp_linear_v): Linear(in_features=768, out_features=128, bias=True)
87
+ [ INFO : 2025-07-02 14:35:39,656 ] - (att_head): Linear(in_features=128, out_features=32, bias=True)
88
+ [ INFO : 2025-07-02 14:35:39,656 ] - (pooling_fc): Linear(in_features=4096, out_features=256, bias=True)
89
+ [ INFO : 2025-07-02 14:35:39,656 ] - (frontend): HuggingfaceFrontend(
90
+ [ INFO : 2025-07-02 14:35:39,656 ] - (upstream): Wav2Vec2Model(
91
+ [ INFO : 2025-07-02 14:35:39,656 ] - (feature_extractor): FeatureExtractor(
92
+ [ INFO : 2025-07-02 14:35:39,656 ] - (conv_layers): ModuleList(
93
+ [ INFO : 2025-07-02 14:35:39,656 ] - (0): ConvLayerBlock(
94
+ [ INFO : 2025-07-02 14:35:39,656 ] - (layer_norm): GroupNorm(512, 512, eps=1e-05, affine=True)
95
+ [ INFO : 2025-07-02 14:35:39,656 ] - (conv): Conv1d(1, 512, kernel_size=(10,), stride=(5,), bias=False)
96
+ [ INFO : 2025-07-02 14:35:39,656 ] - (hard_concrete): HardConcrete(512)
97
+ [ INFO : 2025-07-02 14:35:39,656 ] - )
98
+ [ INFO : 2025-07-02 14:35:39,656 ] - (1-4): 4 x ConvLayerBlock(
99
+ [ INFO : 2025-07-02 14:35:39,656 ] - (conv): Conv1d(512, 512, kernel_size=(3,), stride=(2,), bias=False)
100
+ [ INFO : 2025-07-02 14:35:39,656 ] - (hard_concrete): HardConcrete(512)
101
+ [ INFO : 2025-07-02 14:35:39,656 ] - )
102
+ [ INFO : 2025-07-02 14:35:39,656 ] - (5-6): 2 x ConvLayerBlock(
103
+ [ INFO : 2025-07-02 14:35:39,656 ] - (conv): Conv1d(512, 512, kernel_size=(2,), stride=(2,), bias=False)
104
+ [ INFO : 2025-07-02 14:35:39,656 ] - (hard_concrete): HardConcrete(512)
105
+ [ INFO : 2025-07-02 14:35:39,656 ] - )
106
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
107
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
108
+ [ INFO : 2025-07-02 14:35:39,657 ] - (encoder): Encoder(
109
+ [ INFO : 2025-07-02 14:35:39,657 ] - (feature_projection): FeatureProjection(
110
+ [ INFO : 2025-07-02 14:35:39,657 ] - (layer_norm): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
111
+ [ INFO : 2025-07-02 14:35:39,657 ] - (projection): Linear(in_features=512, out_features=768, bias=True)
112
+ [ INFO : 2025-07-02 14:35:39,657 ] - (dropout): Dropout(p=0.1, inplace=False)
113
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
114
+ [ INFO : 2025-07-02 14:35:39,657 ] - (transformer): Transformer(
115
+ [ INFO : 2025-07-02 14:35:39,657 ] - (pos_conv_embed): ConvolutionalPositionalEmbedding(
116
+ [ INFO : 2025-07-02 14:35:39,657 ] - (conv): ParametrizedConv1d(
117
+ [ INFO : 2025-07-02 14:35:39,657 ] - 768, 768, kernel_size=(128,), stride=(1,), padding=(64,), groups=16
118
+ [ INFO : 2025-07-02 14:35:39,657 ] - (parametrizations): ModuleDict(
119
+ [ INFO : 2025-07-02 14:35:39,657 ] - (weight): ParametrizationList(
120
+ [ INFO : 2025-07-02 14:35:39,657 ] - (0): _WeightNorm()
121
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
122
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
123
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
124
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
125
+ [ INFO : 2025-07-02 14:35:39,657 ] - (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
126
+ [ INFO : 2025-07-02 14:35:39,657 ] - (dropout): Dropout(p=0.1, inplace=False)
127
+ [ INFO : 2025-07-02 14:35:39,657 ] - (layers): ModuleList(
128
+ [ INFO : 2025-07-02 14:35:39,657 ] - (0): EncoderLayer(
129
+ [ INFO : 2025-07-02 14:35:39,657 ] - (attention): WavLMSelfAttention(
130
+ [ INFO : 2025-07-02 14:35:39,657 ] - (dropout): Dropout(p=0.1, inplace=False)
131
+ [ INFO : 2025-07-02 14:35:39,657 ] - (k_proj): Linear(in_features=768, out_features=768, bias=True)
132
+ [ INFO : 2025-07-02 14:35:39,657 ] - (v_proj): Linear(in_features=768, out_features=768, bias=True)
133
+ [ INFO : 2025-07-02 14:35:39,657 ] - (q_proj): Linear(in_features=768, out_features=768, bias=True)
134
+ [ INFO : 2025-07-02 14:35:39,657 ] - (out_proj): Linear(in_features=768, out_features=768, bias=True)
135
+ [ INFO : 2025-07-02 14:35:39,657 ] - (hard_concrete_for_heads): HardConcrete(12)
136
+ [ INFO : 2025-07-02 14:35:39,657 ] - (hard_concrete_for_layer): HardConcrete(1)
137
+ [ INFO : 2025-07-02 14:35:39,657 ] - (rel_attn_embed): Embedding(320, 12)
138
+ [ INFO : 2025-07-02 14:35:39,657 ] - (gru_rel_pos_linear): Linear(in_features=64, out_features=8, bias=True)
139
+ [ INFO : 2025-07-02 14:35:39,657 ] - )
140
+ [ INFO : 2025-07-02 14:35:39,657 ] - (dropout): Dropout(p=0.1, inplace=False)
141
+ [ INFO : 2025-07-02 14:35:39,657 ] - (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
142
+ [ INFO : 2025-07-02 14:35:39,657 ] - (feed_forward): FeedForward(
143
+ [ INFO : 2025-07-02 14:35:39,657 ] - (intermediate_dense): Linear(in_features=768, out_features=3072, bias=True)
144
+ [ INFO : 2025-07-02 14:35:39,658 ] - (intermediate_dropout): Dropout(p=0.0, inplace=False)
145
+ [ INFO : 2025-07-02 14:35:39,658 ] - (output_dense): Linear(in_features=3072, out_features=768, bias=True)
146
+ [ INFO : 2025-07-02 14:35:39,658 ] - (output_dropout): Dropout(p=0.1, inplace=False)
147
+ [ INFO : 2025-07-02 14:35:39,658 ] - (hard_concrete_for_intermediate): HardConcrete(3072)
148
+ [ INFO : 2025-07-02 14:35:39,658 ] - (hard_concrete_for_layer): HardConcrete(1)
149
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
150
+ [ INFO : 2025-07-02 14:35:39,658 ] - (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
151
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
152
+ [ INFO : 2025-07-02 14:35:39,658 ] - (1-11): 11 x EncoderLayer(
153
+ [ INFO : 2025-07-02 14:35:39,658 ] - (attention): WavLMSelfAttention(
154
+ [ INFO : 2025-07-02 14:35:39,658 ] - (dropout): Dropout(p=0.1, inplace=False)
155
+ [ INFO : 2025-07-02 14:35:39,658 ] - (k_proj): Linear(in_features=768, out_features=768, bias=True)
156
+ [ INFO : 2025-07-02 14:35:39,658 ] - (v_proj): Linear(in_features=768, out_features=768, bias=True)
157
+ [ INFO : 2025-07-02 14:35:39,658 ] - (q_proj): Linear(in_features=768, out_features=768, bias=True)
158
+ [ INFO : 2025-07-02 14:35:39,658 ] - (out_proj): Linear(in_features=768, out_features=768, bias=True)
159
+ [ INFO : 2025-07-02 14:35:39,658 ] - (hard_concrete_for_heads): HardConcrete(12)
160
+ [ INFO : 2025-07-02 14:35:39,658 ] - (hard_concrete_for_layer): HardConcrete(1)
161
+ [ INFO : 2025-07-02 14:35:39,658 ] - (gru_rel_pos_linear): Linear(in_features=64, out_features=8, bias=True)
162
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
163
+ [ INFO : 2025-07-02 14:35:39,658 ] - (dropout): Dropout(p=0.1, inplace=False)
164
+ [ INFO : 2025-07-02 14:35:39,658 ] - (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
165
+ [ INFO : 2025-07-02 14:35:39,658 ] - (feed_forward): FeedForward(
166
+ [ INFO : 2025-07-02 14:35:39,658 ] - (intermediate_dense): Linear(in_features=768, out_features=3072, bias=True)
167
+ [ INFO : 2025-07-02 14:35:39,658 ] - (intermediate_dropout): Dropout(p=0.0, inplace=False)
168
+ [ INFO : 2025-07-02 14:35:39,658 ] - (output_dense): Linear(in_features=3072, out_features=768, bias=True)
169
+ [ INFO : 2025-07-02 14:35:39,658 ] - (output_dropout): Dropout(p=0.1, inplace=False)
170
+ [ INFO : 2025-07-02 14:35:39,658 ] - (hard_concrete_for_intermediate): HardConcrete(3072)
171
+ [ INFO : 2025-07-02 14:35:39,658 ] - (hard_concrete_for_layer): HardConcrete(1)
172
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
173
+ [ INFO : 2025-07-02 14:35:39,658 ] - (final_layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
174
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
175
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
176
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
177
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
178
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
179
+ [ INFO : 2025-07-02 14:35:39,658 ] - )
180
+ [ INFO : 2025-07-02 14:35:39,658 ] - (projection): Linear(
181
+ [ INFO : 2025-07-02 14:35:39,659 ] - (trans): Sequential(
182
+ [ INFO : 2025-07-02 14:35:39,659 ] - (0): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
183
+ [ INFO : 2025-07-02 14:35:39,659 ] - (1): ReLU(inplace=True)
184
+ [ INFO : 2025-07-02 14:35:39,659 ] - (2): Linear(in_features=256, out_features=2, bias=True)
185
+ [ INFO : 2025-07-02 14:35:39,659 ] - )
186
+ [ INFO : 2025-07-02 14:35:39,659 ] - )
187
+ [ INFO : 2025-07-02 14:35:39,659 ] - )
188
+ [ INFO : 2025-07-02 14:35:39,659 ] - start_epoch: 1
189
+ [ INFO : 2025-07-02 14:35:40,184 ] - <== Loss ==>
190
+ [ INFO : 2025-07-02 14:35:40,184 ] - loss criterion is: CrossEntropyLoss
191
+ [ INFO : 2025-07-02 14:35:40,188 ] - <== Optimizer ==>
192
+ [ INFO : 2025-07-02 14:35:40,188 ] - optimizer is: AdamW
193
+ [ INFO : 2025-07-02 14:35:40,188 ] - <== Scheduler ==>
194
+ [ INFO : 2025-07-02 14:35:40,188 ] - scheduler is: ExponentialDecrease
195
+ [ INFO : 2025-07-02 14:35:40,188 ] - <== MarginScheduler ==>
196
+ [ INFO : 2025-07-02 14:35:40,228 ] - <========== Training process ==========>
197
+ [ INFO : 2025-07-02 14:35:40,228 ] - +----------+----------+----------+----------+----------+----------+----------+----------+----------+----------+
198
+ [ INFO : 2025-07-02 14:35:40,228 ] - | Epoch| Batch| Lr| Margin| Loss| Acc| loss_cls| loss_reg| spa_tgt| spa_cur|
199
+ [ INFO : 2025-07-02 14:35:40,229 ] - +----------+----------+----------+----------+----------+----------+----------+----------+----------+----------+
200
+ [ INFO : 2025-07-02 14:37:14,108 ] - | 1| 100| 4.309e-08| 0| 0.6686| 63.53| 0.6421| 0.0264| 0.0004| 0.0937|
201
+ [ INFO : 2025-07-02 14:38:13,997 ] - | 1| 200|8.5918e-08| 0| 0.6828| 64.97| 0.6373| 0.0454| 0.0009| 0.0758|
202
+ [ INFO : 2025-07-02 14:39:14,023 ] - | 1| 300|1.2805e-07| 0| 0.6911| 65.69| 0.6344| 0.0567| 0.0013| 0.0598|
203
+ [ INFO : 2025-07-02 14:40:14,047 ] - | 1| 400|1.6951e-07| 0| 0.6938| 66.59| 0.6313| 0.0626| 0.0018| 0.0473|
204
+ [ INFO : 2025-07-02 14:41:14,067 ] - | 1| 500|2.1028e-07| 0| 0.6926| 67.5| 0.6276| 0.065| 0.0022| 0.0380|
205
+ [ INFO : 2025-07-02 14:42:14,109 ] - | 1| 600|2.5039e-07| 0| 0.6887| 68.26| 0.6233| 0.0654| 0.0026| 0.0310|
206
+ [ INFO : 2025-07-02 14:43:14,129 ] - | 1| 700|2.8984e-07| 0| 0.6842| 68.94| 0.6196| 0.0646| 0.0031| 0.0258|
207
+ [ INFO : 2025-07-02 14:44:14,130 ] - | 1| 800|3.2864e-07| 0| 0.6782| 69.8| 0.6152| 0.0629| 0.0035| 0.0218|
208
+ [ INFO : 2025-07-02 14:45:14,138 ] - | 1| 900|3.6679e-07| 0| 0.6721| 70.47| 0.6112| 0.0609| 0.0039| 0.0186|
209
+ [ INFO : 2025-07-02 14:46:14,374 ] - | 1| 1000|4.0431e-07| 0| 0.6656| 71.15| 0.6071| 0.0585| 0.0044| 0.0161|
210
+ [ INFO : 2025-07-02 14:47:14,375 ] - | 1| 1100| 4.412e-07| 0| 0.6591| 71.74| 0.6031| 0.056| 0.0048| 0.0140|
211
+ [ INFO : 2025-07-02 14:48:14,397 ] - | 1| 1200|4.7748e-07| 0| 0.6522| 72.3| 0.5988| 0.0534| 0.0053| 0.0124|
212
+ [ INFO : 2025-07-02 14:49:14,437 ] - | 1| 1300|5.1314e-07| 0| 0.6456| 72.84| 0.5947| 0.0508| 0.0057| 0.0110|
213
+ [ INFO : 2025-07-02 14:50:14,542 ] - | 1| 1400|5.4819e-07| 0| 0.6381| 73.38| 0.5899| 0.0482| 0.0061| 0.0099|
214
+ [ INFO : 2025-07-02 14:51:14,581 ] - | 1| 1500|5.8265e-07| 0| 0.6308| 73.9| 0.5851| 0.0457| 0.0066| 0.0089|
215
+ [ INFO : 2025-07-02 14:52:14,601 ] - | 1| 1600|6.1651e-07| 0| 0.6239| 74.4| 0.5807| 0.0432| 0.0070| 0.0081|
216
+ [ INFO : 2025-07-02 14:53:14,605 ] - | 1| 1700|6.4979e-07| 0| 0.6165| 74.89| 0.5758| 0.0407| 0.0075| 0.0074|
217
+ [ INFO : 2025-07-02 14:54:14,637 ] - | 1| 1800| 6.825e-07| 0| 0.6094| 75.36| 0.571| 0.0384| 0.0079| 0.0069|
218
+ [ INFO : 2025-07-02 14:55:14,624 ] - | 1| 1900|7.1464e-07| 0| 0.6017| 75.85| 0.5656| 0.0361| 0.0083| 0.0064|
219
+ [ INFO : 2025-07-02 14:56:14,607 ] - | 1| 2000|7.4622e-07| 0| 0.5939| 76.37| 0.56| 0.0339| 0.0088| 0.0059|
220
+ [ INFO : 2025-07-02 14:57:14,627 ] - | 1| 2100|7.7724e-07| 0| 0.5858| 76.86| 0.5541| 0.0318| 0.0092| 0.0056|
221
+ [ INFO : 2025-07-02 14:58:14,609 ] - | 1| 2200|8.0771e-07| 0| 0.5787| 77.29| 0.549| 0.0298| 0.0096| 0.0052|
222
+ [ INFO : 2025-07-02 14:59:14,591 ] - | 1| 2300|8.3765e-07| 0| 0.5714| 77.75| 0.5436| 0.0278| 0.0101| 0.0049|
223
+ [ INFO : 2025-07-02 15:00:14,591 ] - | 1| 2400|8.6705e-07| 0| 0.5636| 78.22| 0.5376| 0.026| 0.0105| 0.0047|
224
+ [ INFO : 2025-07-02 15:01:14,573 ] - | 1| 2500|8.9592e-07| 0| 0.556| 78.67| 0.5317| 0.0243| 0.0110| 0.0045|
225
+ [ INFO : 2025-07-02 15:02:14,572 ] - | 1| 2600|9.2427e-07| 0| 0.5483| 79.12| 0.5256| 0.0227| 0.0114| 0.0043|
226
+ [ INFO : 2025-07-02 15:03:14,555 ] - | 1| 2700|9.5211e-07| 0| 0.5407| 79.56| 0.5196| 0.0212| 0.0118| 0.0042|
227
+ [ INFO : 2025-07-02 15:04:14,532 ] - | 1| 2800|9.7943e-07| 0| 0.5326| 80.03| 0.5128| 0.0198| 0.0123| 0.0040|
228
+ [ INFO : 2025-07-02 15:05:14,515 ] - | 1| 2900|1.0063e-06| 0| 0.5246| 80.47| 0.506| 0.0186| 0.0127| 0.0039|
229
+ [ INFO : 2025-07-02 15:06:14,498 ] - | 1| 3000|1.0326e-06| 0| 0.5169| 80.9| 0.4995| 0.0175| 0.0132| 0.0039|
230
+ [ INFO : 2025-07-02 15:07:14,478 ] - | 1| 3100|1.0584e-06| 0| 0.5081| 81.38| 0.4916| 0.0165| 0.0136| 0.0038|
231
+ [ INFO : 2025-07-02 15:08:14,638 ] - | 1| 3200|1.0838e-06| 0| 0.4995| 81.82| 0.4838| 0.0157| 0.0140| 0.0038|
232
+ [ INFO : 2025-07-02 15:09:14,619 ] - | 1| 3300|1.1087e-06| 0| 0.4903| 82.29| 0.4753| 0.015| 0.0145| 0.0038|
233
+ [ INFO : 2025-07-02 15:10:14,599 ] - | 1| 3400|1.1331e-06| 0| 0.4808| 82.76| 0.4663| 0.0145| 0.0149| 0.0038|
234
+ [ INFO : 2025-07-02 15:11:14,581 ] - | 1| 3500| 1.157e-06| 0| 0.4724| 83.17| 0.4584| 0.0141| 0.0154| 0.0038|
235
+ [ INFO : 2025-07-02 15:12:14,563 ] - | 1| 3600|1.1805e-06| 0| 0.4635| 83.59| 0.4498| 0.0137| 0.0158| 0.0038|
236
+ [ INFO : 2025-07-02 15:13:14,544 ] - | 1| 3700|1.2036e-06| 0| 0.4547| 83.99| 0.4414| 0.0133| 0.0162| 0.0038|
237
+ [ INFO : 2025-07-02 15:14:14,546 ] - | 1| 3800|1.2261e-06| 0| 0.4469| 84.35| 0.4339| 0.013| 0.0167| 0.0038|
238
+ [ INFO : 2025-07-02 15:15:14,527 ] - | 1| 3900|1.2483e-06| 0| 0.4391| 84.7| 0.4265| 0.0127| 0.0171| 0.0038|
239
+ [ INFO : 2025-07-02 15:16:14,511 ] - | 1| 4000| 1.27e-06| 0| 0.4316| 85.04| 0.4192| 0.0124| 0.0175| 0.0038|
240
+ [ INFO : 2025-07-02 15:17:14,491 ] - | 1| 4100|1.2913e-06| 0| 0.4246| 85.36| 0.4125| 0.0121| 0.0180| 0.0038|
241
+ [ INFO : 2025-07-02 15:18:14,450 ] - | 1| 4200|1.3121e-06| 0| 0.4176| 85.66| 0.4058| 0.0118| 0.0184| 0.0038|
242
+ [ INFO : 2025-07-02 15:19:14,423 ] - | 1| 4300|1.3326e-06| 0| 0.4109| 85.96| 0.3993| 0.0115| 0.0189| 0.0039|
243
+ [ INFO : 2025-07-02 15:20:14,407 ] - | 1| 4400|1.3526e-06| 0| 0.4041| 86.25| 0.3928| 0.0113| 0.0193| 0.0039|
244
+ [ INFO : 2025-07-02 15:21:14,407 ] - | 1| 4500|1.3722e-06| 0| 0.3974| 86.54| 0.3863| 0.0111| 0.0197| 0.0039|
245
+ [ INFO : 2025-07-02 15:22:14,390 ] - | 1| 4600|1.3914e-06| 0| 0.3912| 86.81| 0.3804| 0.0109| 0.0202| 0.0039|
246
+ [ INFO : 2025-07-02 15:23:14,410 ] - | 1| 4700|1.4102e-06| 0| 0.3855| 87.05| 0.3748| 0.0106| 0.0206| 0.0039|
247
+ [ INFO : 2025-07-02 15:24:14,393 ] - | 1| 4800|1.4286e-06| 0| 0.3803| 87.28| 0.3699| 0.0105| 0.0211| 0.0039|
248
+ [ INFO : 2025-07-02 15:25:14,374 ] - | 1| 4900|1.4467e-06| 0| 0.3749| 87.51| 0.3647| 0.0103| 0.0215| 0.0039|
249
+ [ INFO : 2025-07-02 15:26:14,353 ] - | 1| 5000|1.4643e-06| 0| 0.3695| 87.74| 0.3594| 0.0101| 0.0219| 0.0039|
250
+ [ INFO : 2025-07-02 15:27:14,337 ] - | 1| 5100|1.4816e-06| 0| 0.3645| 87.95| 0.3545| 0.0099| 0.0224| 0.0039|
251
+ [ INFO : 2025-07-02 15:28:14,316 ] - | 1| 5200|1.4985e-06| 0| 0.3596| 88.15| 0.3499| 0.0098| 0.0228| 0.0039|
252
+ [ INFO : 2025-07-02 15:29:14,294 ] - | 1| 5300| 1.515e-06| 0| 0.3548| 88.36| 0.3451| 0.0096| 0.0232| 0.0040|
253
+ [ INFO : 2025-07-02 15:30:14,457 ] - | 1| 5400|1.5312e-06| 0| 0.3502| 88.55| 0.3407| 0.0095| 0.0237| 0.0040|
254
+ [ INFO : 2025-07-02 15:31:14,442 ] - | 1| 5500| 1.547e-06| 0| 0.3459| 88.74| 0.3365| 0.0094| 0.0241| 0.0040|
255
+ [ INFO : 2025-07-02 15:32:14,421 ] - | 1| 5600|1.5624e-06| 0| 0.3417| 88.91| 0.3324| 0.0093| 0.0246| 0.0040|
256
+ [ INFO : 2025-07-02 15:33:13,569 ] - | 1| 5698|1.5772e-06| 0| 0.3374| 89.09| 0.3282| 0.0092| 0.0250| 0.0040|
257
+ [ INFO : 2025-07-02 15:34:25,441 ] - | 2| 100| 1.592e-06| 0| 0.1005| 99| 0.0965| 0.0039| 0.0254| 0.0041|
258
+ [ INFO : 2025-07-02 15:35:25,423 ] - | 2| 200|1.6064e-06| 0| 0.0926| 99.12| 0.0885| 0.0042| 0.0259| 0.0041|
259
+ [ INFO : 2025-07-02 15:36:25,466 ] - | 2| 300|1.6205e-06| 0| 0.0904| 99.11| 0.086| 0.0044| 0.0263| 0.0041|
260
+ [ INFO : 2025-07-02 15:37:25,445 ] - | 2| 400|1.6343e-06| 0| 0.0909| 99.1| 0.0863| 0.0046| 0.0268| 0.0042|
261
+ [ INFO : 2025-07-02 15:38:25,465 ] - | 2| 500|1.6477e-06| 0| 0.0917| 99.05| 0.0869| 0.0048| 0.0272| 0.0042|
262
+ [ INFO : 2025-07-02 15:39:25,449 ] - | 2| 600|1.6608e-06| 0| 0.0945| 98.95| 0.0894| 0.0051| 0.0276| 0.0043|
263
+ [ INFO : 2025-07-02 15:40:25,447 ] - | 2| 700|1.6736e-06| 0| 0.0932| 98.97| 0.0879| 0.0053| 0.0281| 0.0043|
264
+ [ INFO : 2025-07-02 15:41:25,431 ] - | 2| 800|1.6861e-06| 0| 0.0921| 98.99| 0.0866| 0.0056| 0.0285| 0.0044|
265
+ [ INFO : 2025-07-02 15:42:25,450 ] - | 2| 900|1.6983e-06| 0| 0.0915| 98.99| 0.0857| 0.0058| 0.0289| 0.0045|
266
+ [ INFO : 2025-07-02 15:43:25,472 ] - | 2| 1000|1.7101e-06| 0| 0.091| 99| 0.0849| 0.0061| 0.0294| 0.0046|
267
+ [ INFO : 2025-07-02 15:44:25,476 ] - | 2| 1100|1.7217e-06| 0| 0.09| 99.02| 0.0836| 0.0064| 0.0298| 0.0048|
268
+ [ INFO : 2025-07-02 15:45:25,498 ] - | 2| 1200| 1.733e-06| 0| 0.0887| 99.05| 0.082| 0.0066| 0.0303| 0.0051|
269
+ [ INFO : 2025-07-02 15:46:25,498 ] - | 2| 1300| 1.744e-06| 0| 0.0888| 99.05| 0.082| 0.0069| 0.0307| 0.0062|
270
+ [ INFO : 2025-07-02 15:47:25,479 ] - | 2| 1400|1.7546e-06| 0| 0.0896| 99.03| 0.0826| 0.007| 0.0311| 0.0106|
271
+ [ INFO : 2025-07-02 15:48:25,455 ] - | 2| 1500| 1.765e-06| 0| 0.0883| 99.05| 0.0814| 0.0069| 0.0316| 0.0191|
272
+ [ INFO : 2025-07-02 15:49:25,437 ] - | 2| 1600|1.7752e-06| 0| 0.0878| 99.05| 0.0813| 0.0065| 0.0320| 0.0261|
273
+ [ INFO : 2025-07-02 15:50:25,337 ] - | 2| 1700| 1.785e-06| 0| 0.0869| 99.06| 0.0808| 0.0062| 0.0325| 0.0300|
274
+ [ INFO : 2025-07-02 15:51:25,304 ] - | 2| 1800|1.7946e-06| 0| 0.0865| 99.05| 0.0807| 0.0058| 0.0329| 0.0319|
275
+ [ INFO : 2025-07-02 15:52:25,558 ] - | 2| 1900|1.8039e-06| 0| 0.0858| 99.05| 0.0802| 0.0055| 0.0333| 0.0326|
276
+ [ INFO : 2025-07-02 15:53:25,520 ] - | 2| 2000|1.8129e-06| 0| 0.0848| 99.06| 0.0796| 0.0052| 0.0338| 0.0332|
277
+ [ INFO : 2025-07-02 15:54:25,504 ] - | 2| 2100|1.8217e-06| 0| 0.0842| 99.06| 0.0792| 0.005| 0.0342| 0.0337|
278
+ [ INFO : 2025-07-02 15:55:25,487 ] - | 2| 2200|1.8302e-06| 0| 0.0837| 99.05| 0.0789| 0.0048| 0.0346| 0.0342|
279
+ [ INFO : 2025-07-02 15:56:25,472 ] - | 2| 2300|1.8384e-06| 0| 0.0828| 99.06| 0.0782| 0.0046| 0.0351| 0.0347|
280
+ [ INFO : 2025-07-02 15:57:25,517 ] - | 2| 2400|1.8464e-06| 0| 0.0817| 99.07| 0.0774| 0.0044| 0.0355| 0.0351|
281
+ [ INFO : 2025-07-02 15:58:25,556 ] - | 2| 2500|1.8542e-06| 0| 0.0808| 99.08| 0.0767| 0.0042| 0.0360| 0.0355|
282
+ [ INFO : 2025-07-02 15:59:25,585 ] - | 2| 2600|1.8617e-06| 0| 0.0798| 99.09| 0.0758| 0.004| 0.0364| 0.0359|
283
+ [ INFO : 2025-07-02 16:00:25,597 ] - | 2| 2700| 1.869e-06| 0| 0.0792| 99.09| 0.0753| 0.0039| 0.0368| 0.0363|
284
+ [ INFO : 2025-07-02 16:01:25,552 ] - | 2| 2800| 1.876e-06| 0| 0.0788| 99.09| 0.075| 0.0037| 0.0373| 0.0368|
285
+ [ INFO : 2025-07-02 16:02:25,533 ] - | 2| 2900|1.8828e-06| 0| 0.0779| 99.09| 0.0743| 0.0036| 0.0377| 0.0372|
286
+ [ INFO : 2025-07-02 16:03:25,521 ] - | 2| 3000|1.8894e-06| 0| 0.0773| 99.1| 0.0738| 0.0035| 0.0382| 0.0376|
287
+ [ INFO : 2025-07-02 16:04:25,518 ] - | 2| 3100|1.8957e-06| 0| 0.077| 99.09| 0.0736| 0.0034| 0.0386| 0.0380|
288
+ [ INFO : 2025-07-02 16:05:25,505 ] - | 2| 3200|1.9018e-06| 0| 0.0762| 99.09| 0.073| 0.0033| 0.0390| 0.0384|
289
+ [ INFO : 2025-07-02 16:06:25,479 ] - | 2| 3300|1.9077e-06| 0| 0.0757| 99.1| 0.0725| 0.0032| 0.0395| 0.0388|
290
+ [ INFO : 2025-07-02 16:07:25,467 ] - | 2| 3400|1.9134e-06| 0| 0.075| 99.11| 0.0719| 0.0031| 0.0399| 0.0393|
291
+ [ INFO : 2025-07-02 16:08:25,462 ] - | 2| 3500|1.9189e-06| 0| 0.0744| 99.11| 0.0714| 0.003| 0.0404| 0.0397|
292
+ [ INFO : 2025-07-02 16:09:25,448 ] - | 2| 3600|1.9241e-06| 0| 0.0737| 99.12| 0.0708| 0.0029| 0.0408| 0.0401|
293
+ [ INFO : 2025-07-02 16:10:25,427 ] - | 2| 3700|1.9292e-06| 0| 0.0731| 99.12| 0.0702| 0.0028| 0.0412| 0.0405|
294
+ [ INFO : 2025-07-02 16:11:25,404 ] - | 2| 3800| 1.934e-06| 0| 0.0724| 99.13| 0.0696| 0.0028| 0.0417| 0.0409|
295
+ [ INFO : 2025-07-02 16:12:25,349 ] - | 2| 3900|1.9386e-06| 0| 0.0717| 99.14| 0.0691| 0.0027| 0.0421| 0.0413|
296
+ [ INFO : 2025-07-02 16:13:25,303 ] - | 2| 4000|1.9431e-06| 0| 0.0711| 99.14| 0.0685| 0.0026| 0.0425| 0.0417|
297
+ [ INFO : 2025-07-02 16:14:25,429 ] - | 2| 4100|1.9473e-06| 0| 0.0704| 99.15| 0.0678| 0.0026| 0.0430| 0.0421|
298
+ [ INFO : 2025-07-02 16:15:25,372 ] - | 2| 4200|1.9514e-06| 0| 0.0696| 99.16| 0.0671| 0.0025| 0.0434| 0.0425|
299
+ [ INFO : 2025-07-02 16:16:25,353 ] - | 2| 4300|1.9552e-06| 0| 0.0691| 99.16| 0.0667| 0.0024| 0.0439| 0.0429|
300
+ [ INFO : 2025-07-02 16:17:25,325 ] - | 2| 4400|1.9589e-06| 0| 0.0684| 99.17| 0.066| 0.0024| 0.0443| 0.0433|
301
+ [ INFO : 2025-07-02 16:18:25,266 ] - | 2| 4500|1.9623e-06| 0| 0.0678| 99.18| 0.0654| 0.0023| 0.0447| 0.0437|
302
+ [ INFO : 2025-07-02 16:19:25,206 ] - | 2| 4600|1.9656e-06| 0| 0.0672| 99.19| 0.0649| 0.0023| 0.0452| 0.0441|
303
+ [ INFO : 2025-07-02 16:20:25,188 ] - | 2| 4700|1.9687e-06| 0| 0.0667| 99.19| 0.0645| 0.0022| 0.0456| 0.0445|
304
+ [ INFO : 2025-07-02 16:21:25,170 ] - | 2| 4800|1.9717e-06| 0| 0.0662| 99.2| 0.064| 0.0022| 0.0461| 0.0449|
305
+ [ INFO : 2025-07-02 16:22:25,107 ] - | 2| 4900|1.9744e-06| 0| 0.0656| 99.2| 0.0634| 0.0021| 0.0465| 0.0453|
306
+ [ INFO : 2025-07-02 16:23:25,089 ] - | 2| 5000| 1.977e-06| 0| 0.0649| 99.21| 0.0628| 0.0021| 0.0469| 0.0457|
307
+ [ INFO : 2025-07-02 16:24:25,074 ] - | 2| 5100|1.9795e-06| 0| 0.0645| 99.21| 0.0625| 0.0021| 0.0474| 0.0461|
308
+ [ INFO : 2025-07-02 16:25:25,031 ] - | 2| 5200|1.9817e-06| 0| 0.064| 99.22| 0.0619| 0.002| 0.0478| 0.0466|
309
+ [ INFO : 2025-07-02 16:26:24,975 ] - | 2| 5300|1.9838e-06| 0| 0.0634| 99.22| 0.0615| 0.002| 0.0482| 0.0470|
310
+ [ INFO : 2025-07-02 16:27:24,875 ] - | 2| 5400|1.9857e-06| 0| 0.0631| 99.23| 0.0611| 0.0019| 0.0487| 0.0474|
311
+ [ INFO : 2025-07-02 16:28:24,854 ] - | 2| 5500|1.9875e-06| 0| 0.0626| 99.23| 0.0606| 0.0019| 0.0491| 0.0478|
312
+ [ INFO : 2025-07-02 16:29:24,787 ] - | 2| 5600|1.9891e-06| 0| 0.0621| 99.23| 0.0602| 0.0019| 0.0496| 0.0482|
313
+ [ INFO : 2025-07-02 16:30:23,936 ] - | 2| 5698|1.9905e-06| 0| 0.0616| 99.24| 0.0598| 0.0018| 0.0500| 0.0486|
314
+ [ INFO : 2025-07-02 16:31:35,378 ] - | 3| 100|1.9747e-06| 0| 0.0404| 99.31| 0.0404| 0| 0.0504| 0.0490|
315
+ [ INFO : 2025-07-02 16:32:35,365 ] - | 3| 200|1.9588e-06| 0| 0.0371| 99.44| 0.0371| 0| 0.0509| 0.0494|
316
+ [ INFO : 2025-07-02 16:33:35,408 ] - | 3| 300| 1.943e-06| 0| 0.0341| 99.54| 0.034| 0| 0.0513| 0.0498|
317
+ [ INFO : 2025-07-02 16:34:35,488 ] - | 3| 400|1.9274e-06| 0| 0.0342| 99.52| 0.0342| 0| 0.0518| 0.0503|
318
+ [ INFO : 2025-07-02 16:35:35,466 ] - | 3| 500|1.9119e-06| 0| 0.0334| 99.53| 0.0333| 0| 0.0522| 0.0507|
319
+ [ INFO : 2025-07-02 16:36:35,708 ] - | 3| 600|1.8965e-06| 0| 0.034| 99.5| 0.0339| 0| 0.0526| 0.0511|
320
+ [ INFO : 2025-07-02 16:37:35,710 ] - | 3| 700|1.8812e-06| 0| 0.0332| 99.52| 0.0331| 0| 0.0531| 0.0516|
321
+ [ INFO : 2025-07-02 16:38:35,673 ] - | 3| 800|1.8661e-06| 0| 0.0339| 99.5| 0.0339| 0| 0.0535| 0.0520|
322
+ [ INFO : 2025-07-02 16:39:35,672 ] - | 3| 900| 1.851e-06| 0| 0.0336| 99.5| 0.0335| 0| 0.0539| 0.0524|
323
+ [ INFO : 2025-07-02 16:40:35,692 ] - | 3| 1000|1.8361e-06| 0| 0.0332| 99.51| 0.0332| 0| 0.0544| 0.0529|
324
+ [ INFO : 2025-07-02 16:41:35,662 ] - | 3| 1100|1.8214e-06| 0| 0.0327| 99.53| 0.0327| 0| 0.0548| 0.0533|
325
+ [ INFO : 2025-07-02 16:42:35,638 ] - | 3| 1200|1.8067e-06| 0| 0.0325| 99.5| 0.0324| 0| 0.0553| 0.0538|
326
+ [ INFO : 2025-07-02 16:43:35,658 ] - | 3| 1300|1.7922e-06| 0| 0.0327| 99.49| 0.0327| 0| 0.0557| 0.0542|
327
+ [ INFO : 2025-07-02 16:44:35,722 ] - | 3| 1400|1.7777e-06| 0| 0.0323| 99.5| 0.0323| 0| 0.0561| 0.0547|
328
+ [ INFO : 2025-07-02 16:45:35,761 ] - | 3| 1500|1.7634e-06| 0| 0.032| 99.5| 0.032| 0| 0.0566| 0.0551|
329
+ [ INFO : 2025-07-02 16:46:35,760 ] - | 3| 1600|1.7492e-06| 0| 0.0319| 99.51| 0.0319| 0| 0.0570| 0.0556|
330
+ [ INFO : 2025-07-02 16:47:35,741 ] - | 3| 1700|1.7351e-06| 0| 0.0316| 99.52| 0.0316| 0| 0.0575| 0.0561|
331
+ [ INFO : 2025-07-02 16:48:35,720 ] - | 3| 1800|1.7212e-06| 0| 0.0316| 99.51| 0.0315| 0| 0.0579| 0.0567|
332
+ [ INFO : 2025-07-02 16:49:35,915 ] - | 3| 1900|1.7073e-06| 0| 0.0314| 99.51| 0.0313| 0| 0.0583| 0.0574|
333
+ [ INFO : 2025-07-02 16:50:35,863 ] - | 3| 2000|1.6936e-06| 0| 0.0309| 99.52| 0.0308| 0| 0.0588| 0.0579|
334
+ [ INFO : 2025-07-02 16:51:35,859 ] - | 3| 2100|1.6799e-06| 0| 0.0306| 99.52| 0.0305| 0| 0.0592| 0.0587|
335
+ [ INFO : 2025-07-02 16:52:35,826 ] - | 3| 2200|1.6664e-06| 0| 0.0307| 99.51| 0.0306| 0| 0.0596| 0.0592|
336
+ [ INFO : 2025-07-02 16:53:35,809 ] - | 3| 2300| 1.653e-06| 0| 0.0304| 99.52| 0.0304| 0| 0.0601| 0.0596|
337
+ [ INFO : 2025-07-02 16:54:35,813 ] - | 3| 2400|1.6397e-06| 0| 0.0301| 99.52| 0.0301| 0| 0.0605| 0.0602|
338
+ [ INFO : 2025-07-02 16:55:35,816 ] - | 3| 2500|1.6265e-06| 0| 0.0297| 99.53| 0.0297| 0| 0.0610| 0.0608|
339
+ [ INFO : 2025-07-02 16:56:35,793 ] - | 3| 2600|1.6134e-06| 0| 0.0293| 99.54| 0.0293| 0| 0.0614| 0.0611|
340
+ [ INFO : 2025-07-02 16:57:35,777 ] - | 3| 2700|1.6004e-06| 0| 0.029| 99.54| 0.029| 0| 0.0618| 0.0617|
341
+ [ INFO : 2025-07-02 16:58:36,027 ] - | 3| 2800|1.5875e-06| 0| 0.0288| 99.54| 0.0288| 0| 0.0623| 0.0618|
342
+ [ INFO : 2025-07-02 16:59:36,018 ] - | 3| 2900|1.5748e-06| 0| 0.0285| 99.55| 0.0285| 0| 0.0627| 0.0625|
343
+ [ INFO : 2025-07-02 17:00:35,979 ] - | 3| 3000|1.5621e-06| 0| 0.0285| 99.55| 0.0284| 0| 0.0632| 0.0631|
344
+ [ INFO : 2025-07-02 17:01:35,957 ] - | 3| 3100|1.5495e-06| 0| 0.0284| 99.55| 0.0284| 0| 0.0636| 0.0634|
345
+ [ INFO : 2025-07-02 17:02:35,858 ] - | 3| 3200| 1.537e-06| 0| 0.0281| 99.55| 0.0281| 0| 0.0640| 0.0638|
346
+ [ INFO : 2025-07-02 17:03:35,817 ] - | 3| 3300|1.5247e-06| 0| 0.0279| 99.56| 0.0279| 0| 0.0645| 0.0643|
347
+ [ INFO : 2025-07-02 17:04:35,721 ] - | 3| 3400|1.5124e-06| 0| 0.0276| 99.56| 0.0276| 0| 0.0649| 0.0648|
348
+ [ INFO : 2025-07-02 17:05:35,599 ] - | 3| 3500|1.5002e-06| 0| 0.0274| 99.56| 0.0274| 0| 0.0654| 0.0652|
349
+ [ INFO : 2025-07-02 17:06:35,568 ] - | 3| 3600|1.4881e-06| 0| 0.0273| 99.56| 0.0273| 0| 0.0658| 0.0656|
350
+ [ INFO : 2025-07-02 17:07:35,552 ] - | 3| 3700|1.4762e-06| 0| 0.0272| 99.56| 0.0272| 0| 0.0662| 0.0660|
351
+ [ INFO : 2025-07-02 17:08:35,550 ] - | 3| 3800|1.4643e-06| 0| 0.027| 99.56| 0.0269| 0| 0.0667| 0.0665|
352
+ [ INFO : 2025-07-02 17:09:35,532 ] - | 3| 3900|1.4525e-06| 0| 0.0267| 99.57| 0.0267| 0| 0.0671| 0.0669|
353
+ [ INFO : 2025-07-02 17:10:35,530 ] - | 3| 4000|1.4408e-06| 0| 0.0266| 99.57| 0.0266| 0| 0.0675| 0.0672|
354
+ [ INFO : 2025-07-02 17:11:35,509 ] - | 3| 4100|1.4292e-06| 0| 0.0265| 99.57| 0.0265| 0| 0.0680| 0.0678|
355
+ [ INFO : 2025-07-02 17:12:35,475 ] - | 3| 4200|1.4177e-06| 0| 0.0263| 99.57| 0.0263| 0| 0.0684| 0.0681|
356
+ [ INFO : 2025-07-02 17:13:35,380 ] - | 3| 4300|1.4063e-06| 0| 0.0261| 99.58| 0.0261| 0| 0.0689| 0.0687|
357
+ [ INFO : 2025-07-02 17:14:35,187 ] - | 3| 4400| 1.395e-06| 0| 0.026| 99.58| 0.0259| 0| 0.0693| 0.0691|
358
+ [ INFO : 2025-07-02 17:15:35,008 ] - | 3| 4500|1.3837e-06| 0| 0.0258| 99.58| 0.0258| 0| 0.0697| 0.0696|
359
+ [ INFO : 2025-07-02 17:16:34,842 ] - | 3| 4600|1.3726e-06| 0| 0.0256| 99.58| 0.0256| 0| 0.0702| 0.0701|
360
+ [ INFO : 2025-07-02 17:17:34,714 ] - | 3| 4700|1.3616e-06| 0| 0.0255| 99.58| 0.0255| 0| 0.0706| 0.0704|
361
+ [ INFO : 2025-07-02 17:18:34,586 ] - | 3| 4800|1.3506e-06| 0| 0.0254| 99.59| 0.0254| 0| 0.0711| 0.0709|
362
+ [ INFO : 2025-07-02 17:19:34,552 ] - | 3| 4900|1.3397e-06| 0| 0.0253| 99.59| 0.0253| 0| 0.0715| 0.0715|
363
+ [ INFO : 2025-07-02 17:20:34,837 ] - | 3| 5000|1.3289e-06| 0| 0.0253| 99.58| 0.0252| 0| 0.0719| 0.0719|
364
+ [ INFO : 2025-07-02 17:21:34,816 ] - | 3| 5100|1.3182e-06| 0| 0.0251| 99.59| 0.0251| 0| 0.0724| 0.0721|
365
+ [ INFO : 2025-07-02 17:22:34,816 ] - | 3| 5200|1.3076e-06| 0| 0.025| 99.59| 0.025| 0| 0.0728| 0.0729|
366
+ [ INFO : 2025-07-02 17:23:34,797 ] - | 3| 5300|1.2971e-06| 0| 0.0248| 99.59| 0.0248| 0| 0.0732| 0.0732|
367
+ [ INFO : 2025-07-02 17:24:34,761 ] - | 3| 5400|1.2867e-06| 0| 0.0247| 99.59| 0.0247| 0| 0.0737| 0.0735|
368
+ [ INFO : 2025-07-02 17:25:34,721 ] - | 3| 5500|1.2763e-06| 0| 0.0245| 99.59| 0.0245| 0| 0.0741| 0.0742|
369
+ [ INFO : 2025-07-02 17:26:34,686 ] - | 3| 5600| 1.266e-06| 0| 0.0244| 99.59| 0.0244| 0| 0.0746| 0.0745|
370
+ [ INFO : 2025-07-02 17:27:33,908 ] - | 3| 5698| 1.256e-06| 0| 0.0242| 99.6| 0.0242| 0| 0.0750| 0.0749|
371
+ [ INFO : 2025-07-02 17:28:45,282 ] - | 4| 100|1.2459e-06| 0| 0.0197| 99.59| 0.0197| 0| 0.0754| 0.0754|
372
+ [ INFO : 2025-07-02 17:29:45,227 ] - | 4| 200|1.2359e-06| 0| 0.0175| 99.66| 0.0175| 0| 0.0759| 0.0758|
373
+ [ INFO : 2025-07-02 17:30:45,203 ] - | 4| 300| 1.226e-06| 0| 0.0165| 99.72| 0.0165| 0| 0.0763| 0.0763|
374
+ [ INFO : 2025-07-02 17:31:45,190 ] - | 4| 400|1.2161e-06| 0| 0.0154| 99.73| 0.0154| 0| 0.0768| 0.0767|
375
+ [ INFO : 2025-07-02 17:32:45,167 ] - | 4| 500|1.2063e-06| 0| 0.0153| 99.72| 0.0153| 0| 0.0772| 0.0771|
376
+ [ INFO : 2025-07-02 17:33:45,101 ] - | 4| 600|1.1966e-06| 0| 0.0144| 99.77| 0.0144| 0| 0.0776| 0.0777|
377
+ [ INFO : 2025-07-02 17:34:45,068 ] - | 4| 700| 1.187e-06| 0| 0.0147| 99.75| 0.0147| 0| 0.0781| 0.0780|
378
+ [ INFO : 2025-07-02 17:35:45,025 ] - | 4| 800|1.1774e-06| 0| 0.0148| 99.76| 0.0148| 0| 0.0785| 0.0785|
379
+ [ INFO : 2025-07-02 17:36:44,991 ] - | 4| 900|1.1679e-06| 0| 0.0144| 99.77| 0.0144| 0| 0.0789| 0.0788|
380
+ [ INFO : 2025-07-02 17:37:44,990 ] - | 4| 1000|1.1585e-06| 0| 0.0153| 99.75| 0.0153| 0| 0.0794| 0.0780|
381
+ [ INFO : 2025-07-02 17:38:44,918 ] - | 4| 1100|1.1492e-06| 0| 0.0153| 99.75| 0.0153| 0| 0.0798| 0.0798|
382
+ [ INFO : 2025-07-02 17:39:44,812 ] - | 4| 1200|1.1399e-06| 0| 0.0151| 99.76| 0.0151| 0| 0.0803| 0.0802|
383
+ [ INFO : 2025-07-02 17:40:44,739 ] - | 4| 1300|1.1308e-06| 0| 0.0152| 99.75| 0.0152| 0| 0.0807| 0.0807|
384
+ [ INFO : 2025-07-02 17:41:44,650 ] - | 4| 1400|1.1217e-06| 0| 0.0152| 99.74| 0.0152| 0| 0.0811| 0.0813|
385
+ [ INFO : 2025-07-02 17:42:44,855 ] - | 4| 1500|1.1126e-06| 0| 0.015| 99.74| 0.015| 0| 0.0816| 0.0814|
386
+ [ INFO : 2025-07-02 17:43:44,780 ] - | 4| 1600|1.1037e-06| 0| 0.015| 99.74| 0.015| 0| 0.0820| 0.0820|
387
+ [ INFO : 2025-07-02 17:44:44,704 ] - | 4| 1700|1.0948e-06| 0| 0.0149| 99.74| 0.0149| 0| 0.0825| 0.0823|
388
+ [ INFO : 2025-07-02 17:45:44,625 ] - | 4| 1800| 1.086e-06| 0| 0.015| 99.73| 0.015| 0| 0.0829| 0.0827|
389
+ [ INFO : 2025-07-02 17:46:44,569 ] - | 4| 1900|1.0772e-06| 0| 0.0149| 99.74| 0.0149| 0| 0.0833| 0.0835|
390
+ [ INFO : 2025-07-02 17:47:44,411 ] - | 4| 2000|1.0686e-06| 0| 0.0148| 99.74| 0.0148| 0| 0.0838| 0.0837|
391
+ [ INFO : 2025-07-02 17:48:44,299 ] - | 4| 2100| 1.06e-06| 0| 0.0146| 99.74| 0.0146| 0| 0.0842| 0.0838|
392
+ [ INFO : 2025-07-02 17:49:44,210 ] - | 4| 2200|1.0514e-06| 0| 0.0147| 99.74| 0.0147| 0| 0.0846| 0.0849|
393
+ [ INFO : 2025-07-02 17:50:44,081 ] - | 4| 2300| 1.043e-06| 0| 0.0146| 99.74| 0.0146| 0| 0.0851| 0.0850|
394
+ [ INFO : 2025-07-02 17:51:44,030 ] - | 4| 2400|1.0346e-06| 0| 0.0146| 99.73| 0.0146| 0| 0.0855| 0.0855|
395
+ [ INFO : 2025-07-02 17:52:43,894 ] - | 4| 2500|1.0263e-06| 0| 0.0145| 99.73| 0.0145| 0| 0.0860| 0.0859|
396
+ [ INFO : 2025-07-02 17:53:43,782 ] - | 4| 2600| 1.018e-06| 0| 0.0146| 99.73| 0.0146| 0| 0.0864| 0.0864|
397
+ [ INFO : 2025-07-02 17:54:43,641 ] - | 4| 2700|1.0098e-06| 0| 0.0145| 99.73| 0.0145| 0| 0.0868| 0.0868|
398
+ [ INFO : 2025-07-02 17:55:43,553 ] - | 4| 2800|1.0017e-06| 0| 0.0146| 99.73| 0.0146| 0| 0.0873| 0.0872|
399
+ [ INFO : 2025-07-02 17:56:43,434 ] - | 4| 2900|9.9361e-07| 0| 0.0146| 99.73| 0.0146| 0| 0.0877| 0.0877|
400
+ [ INFO : 2025-07-02 17:57:43,325 ] - | 4| 3000|9.8561e-07| 0| 0.0146| 99.73| 0.0146| 0| 0.0882| 0.0881|
401
+ [ INFO : 2025-07-02 17:58:43,154 ] - | 4| 3100|9.7768e-07| 0| 0.0145| 99.73| 0.0145| 0| 0.0886| 0.0885|
402
+ [ INFO : 2025-07-02 17:59:43,079 ] - | 4| 3200|9.6981e-07| 0| 0.0146| 99.73| 0.0146| 0| 0.0890| 0.0890|
403
+ [ INFO : 2025-07-02 18:00:42,983 ] - | 4| 3300| 9.62e-07| 0| 0.0145| 99.73| 0.0145| 0| 0.0895| 0.0894|
404
+ [ INFO : 2025-07-02 18:01:42,890 ] - | 4| 3400|9.5426e-07| 0| 0.0144| 99.73| 0.0144| 0| 0.0899| 0.0891|
405
+ [ INFO : 2025-07-02 18:02:42,712 ] - | 4| 3500|9.4657e-07| 0| 0.0144| 99.73| 0.0144| 0| 0.0904| 0.0904|
406
+ [ INFO : 2025-07-02 18:03:42,539 ] - | 4| 3600|9.3896e-07| 0| 0.0145| 99.72| 0.0145| 0| 0.0908| 0.0908|
407
+ [ INFO : 2025-07-02 18:04:42,679 ] - | 4| 3700| 9.314e-07| 0| 0.0145| 99.72| 0.0145| 0| 0.0912| 0.0912|
408
+ [ INFO : 2025-07-02 18:05:42,592 ] - | 4| 3800| 9.239e-07| 0| 0.0144| 99.72| 0.0144| 0| 0.0917| 0.0916|
409
+ [ INFO : 2025-07-02 18:06:42,437 ] - | 4| 3900|9.1646e-07| 0| 0.0143| 99.72| 0.0143| 0| 0.0921| 0.0921|
410
+ [ INFO : 2025-07-02 18:07:42,298 ] - | 4| 4000|9.0909e-07| 0| 0.0143| 99.72| 0.0143| 0| 0.0925| 0.0925|
411
+ [ INFO : 2025-07-02 18:08:42,187 ] - | 4| 4100|9.0177e-07| 0| 0.0143| 99.72| 0.0143| 0| 0.0930| 0.0927|
412
+ [ INFO : 2025-07-02 18:09:42,097 ] - | 4| 4200|8.9451e-07| 0| 0.0143| 99.72| 0.0143| 0| 0.0934| 0.0934|
413
+ [ INFO : 2025-07-02 18:10:42,006 ] - | 4| 4300|8.8731e-07| 0| 0.0141| 99.72| 0.0141| 0| 0.0939| 0.0938|
414
+ [ INFO : 2025-07-02 18:11:41,812 ] - | 4| 4400|8.8017e-07| 0| 0.0142| 99.72| 0.0142| 0| 0.0943| 0.0943|
415
+ [ INFO : 2025-07-02 18:12:41,671 ] - | 4| 4500|8.7308e-07| 0| 0.0142| 99.72| 0.0142| 0| 0.0947| 0.0947|
416
+ [ INFO : 2025-07-02 18:13:41,556 ] - | 4| 4600|8.6605e-07| 0| 0.0141| 99.72| 0.0141| 0| 0.0952| 0.0951|
417
+ [ INFO : 2025-07-02 18:14:41,517 ] - | 4| 4700|8.5908e-07| 0| 0.014| 99.72| 0.014| 0| 0.0956| 0.0955|
418
+ [ INFO : 2025-07-02 18:15:41,399 ] - | 4| 4800|8.5217e-07| 0| 0.014| 99.72| 0.014| 0| 0.0961| 0.0960|
419
+ [ INFO : 2025-07-02 18:16:41,258 ] - | 4| 4900|8.4531e-07| 0| 0.014| 99.72| 0.014| 0| 0.0965| 0.0964|
420
+ [ INFO : 2025-07-02 18:17:41,075 ] - | 4| 5000| 8.385e-07| 0| 0.014| 99.72| 0.014| 0| 0.0969| 0.0962|
421
+ [ INFO : 2025-07-02 18:18:40,918 ] - | 4| 5100|8.3175e-07| 0| 0.0141| 99.72| 0.0141| 0| 0.0974| 0.0971|
422
+ [ INFO : 2025-07-02 18:19:40,798 ] - | 4| 5200|8.2506e-07| 0| 0.014| 99.72| 0.014| 0| 0.0978| 0.0976|
423
+ [ INFO : 2025-07-02 18:20:40,580 ] - | 4| 5300|8.1842e-07| 0| 0.014| 99.72| 0.014| 0| 0.0982| 0.0980|
424
+ [ INFO : 2025-07-02 18:21:40,347 ] - | 4| 5400|8.1183e-07| 0| 0.0139| 99.72| 0.0139| 0| 0.0987| 0.0984|
425
+ [ INFO : 2025-07-02 18:22:40,154 ] - | 4| 5500|8.0529e-07| 0| 0.0138| 99.72| 0.0138| 0| 0.0991| 0.0988|
426
+ [ INFO : 2025-07-02 18:23:40,022 ] - | 4| 5600|7.9881e-07| 0| 0.0138| 99.72| 0.0138| 0| 0.0996| 0.0992|
427
+ [ INFO : 2025-07-02 18:24:39,176 ] - | 4| 5698|7.9251e-07| 0| 0.0138| 99.72| 0.0138| 0| 0.1000| 0.0996|
428
+ [ INFO : 2025-07-02 18:25:54,737 ] - | 5| 100|7.8613e-07| 0| 0.0129| 99.72| 0.0129| 0| 0.1000| 0.0999|
429
+ [ INFO : 2025-07-02 18:26:54,621 ] - | 5| 200| 7.798e-07| 0| 0.0114| 99.75| 0.0114| 0| 0.1000| 0.0999|
430
+ [ INFO : 2025-07-02 18:27:54,600 ] - | 5| 300|7.7353e-07| 0| 0.0111| 99.78| 0.0111| 0| 0.1000| 0.1000|
431
+ [ INFO : 2025-07-02 18:28:54,586 ] - | 5| 400| 7.673e-07| 0| 0.0121| 99.74| 0.0121| 0| 0.1000| 0.1000|
432
+ [ INFO : 2025-07-02 18:29:54,561 ] - | 5| 500|7.6112e-07| 0| 0.0128| 99.76| 0.0128| 0| 0.1000| 0.1000|
433
+ [ INFO : 2025-07-02 18:30:54,465 ] - | 5| 600| 7.55e-07| 0| 0.0132| 99.73| 0.0132| 0| 0.1000| 0.1000|
434
+ [ INFO : 2025-07-02 18:31:54,338 ] - | 5| 700|7.4892e-07| 0| 0.0133| 99.73| 0.0133| 0| 0.1000| 0.1000|
435
+ [ INFO : 2025-07-02 18:32:54,215 ] - | 5| 800|7.4289e-07| 0| 0.0134| 99.73| 0.0134| 0| 0.1000| 0.1000|
436
+ [ INFO : 2025-07-02 18:33:54,100 ] - | 5| 900|7.3691e-07| 0| 0.0128| 99.74| 0.0128| 0| 0.1000| 0.1000|
437
+ [ INFO : 2025-07-02 18:34:53,975 ] - | 5| 1000|7.3098e-07| 0| 0.0128| 99.74| 0.0128| 0| 0.1000| 0.1000|
438
+ [ INFO : 2025-07-02 18:35:53,836 ] - | 5| 1100| 7.251e-07| 0| 0.0126| 99.74| 0.0126| 0| 0.1000| 0.1000|
439
+ [ INFO : 2025-07-02 18:36:53,738 ] - | 5| 1200|7.1926e-07| 0| 0.0126| 99.74| 0.0126| 0| 0.1000| 0.1000|
440
+ [ INFO : 2025-07-02 18:37:53,623 ] - | 5| 1300|7.1347e-07| 0| 0.0126| 99.74| 0.0126| 0| 0.1000| 0.1000|
441
+ [ INFO : 2025-07-02 18:38:53,558 ] - | 5| 1400|7.0773e-07| 0| 0.0125| 99.73| 0.0125| 0| 0.1000| 0.1000|
442
+ [ INFO : 2025-07-02 18:39:53,398 ] - | 5| 1500|7.0203e-07| 0| 0.0123| 99.74| 0.0123| 0| 0.1000| 0.1000|
443
+ [ INFO : 2025-07-02 18:40:53,270 ] - | 5| 1600|6.9638e-07| 0| 0.0122| 99.74| 0.0122| 0| 0.1000| 0.1000|
444
+ [ INFO : 2025-07-02 18:41:53,138 ] - | 5| 1700|6.9077e-07| 0| 0.012| 99.75| 0.012| 0| 0.1000| 0.1000|
445
+ [ INFO : 2025-07-02 18:42:53,044 ] - | 5| 1800|6.8521e-07| 0| 0.012| 99.75| 0.012| 0| 0.1000| 0.1000|
446
+ [ INFO : 2025-07-02 18:43:52,863 ] - | 5| 1900| 6.797e-07| 0| 0.012| 99.75| 0.012| 0| 0.1000| 0.1000|
447
+ [ INFO : 2025-07-02 18:44:52,645 ] - | 5| 2000|6.7423e-07| 0| 0.0122| 99.74| 0.0122| 0| 0.1000| 0.1000|
448
+ [ INFO : 2025-07-02 18:45:52,468 ] - | 5| 2100| 6.688e-07| 0| 0.0122| 99.74| 0.0122| 0| 0.1000| 0.1000|
449
+ [ INFO : 2025-07-02 18:46:52,400 ] - | 5| 2200|6.6341e-07| 0| 0.0121| 99.74| 0.0121| 0| 0.1000| 0.0996|
450
+ [ INFO : 2025-07-02 18:47:52,531 ] - | 5| 2300|6.5807e-07| 0| 0.0121| 99.74| 0.0121| 0| 0.1000| 0.0999|
451
+ [ INFO : 2025-07-02 18:48:52,504 ] - | 5| 2400|6.5278e-07| 0| 0.012| 99.74| 0.012| 0| 0.1000| 0.1000|
452
+ [ INFO : 2025-07-02 18:49:52,324 ] - | 5| 2500|6.4752e-07| 0| 0.012| 99.74| 0.012| 0| 0.1000| 0.1000|
453
+ [ INFO : 2025-07-02 18:50:52,134 ] - | 5| 2600|6.4231e-07| 0| 0.0119| 99.74| 0.0119| 0| 0.1000| 0.1000|
454
+ [ INFO : 2025-07-02 18:51:52,003 ] - | 5| 2700|6.3714e-07| 0| 0.0118| 99.75| 0.0118| 0| 0.1000| 0.1000|
455
+ [ INFO : 2025-07-02 18:52:51,913 ] - | 5| 2800|6.3201e-07| 0| 0.0118| 99.75| 0.0118| 0| 0.1000| 0.1000|
456
+ [ INFO : 2025-07-02 18:53:51,838 ] - | 5| 2900|6.2692e-07| 0| 0.0118| 99.75| 0.0118| 0| 0.1000| 0.1000|
457
+ [ INFO : 2025-07-02 18:54:51,721 ] - | 5| 3000|6.2188e-07| 0| 0.0118| 99.75| 0.0118| 0| 0.1000| 0.1000|
458
+ [ INFO : 2025-07-02 18:55:51,566 ] - | 5| 3100|6.1687e-07| 0| 0.0119| 99.75| 0.0119| 0| 0.1000| 0.1000|
459
+ [ INFO : 2025-07-02 18:56:51,390 ] - | 5| 3200|6.1191e-07| 0| 0.0119| 99.75| 0.0119| 0| 0.1000| 0.1000|
460
+ [ INFO : 2025-07-02 18:57:51,290 ] - | 5| 3300|6.0698e-07| 0| 0.0119| 99.75| 0.0119| 0| 0.1000| 0.0998|
461
+ [ INFO : 2025-07-02 18:58:51,113 ] - | 5| 3400|6.0209e-07| 0| 0.0119| 99.75| 0.0119| 0| 0.1000| 0.0999|
462
+ [ INFO : 2025-07-02 18:59:51,007 ] - | 5| 3500|5.9725e-07| 0| 0.0118| 99.75| 0.0118| 0| 0.1000| 0.1000|
463
+ [ INFO : 2025-07-02 19:00:50,845 ] - | 5| 3600|5.9244e-07| 0| 0.0118| 99.75| 0.0118| 0| 0.1000| 0.1000|
464
+ [ INFO : 2025-07-02 19:01:50,742 ] - | 5| 3700|5.8767e-07| 0| 0.0119| 99.74| 0.0119| 0| 0.1000| 0.0999|
465
+ [ INFO : 2025-07-02 19:02:50,689 ] - | 5| 3800|5.8294e-07| 0| 0.0119| 99.74| 0.0119| 0| 0.1000| 0.1000|
466
+ [ INFO : 2025-07-02 19:03:50,585 ] - | 5| 3900|5.7825e-07| 0| 0.0119| 99.75| 0.0119| 0| 0.1000| 0.1000|
467
+ [ INFO : 2025-07-02 19:04:50,361 ] - | 5| 4000|5.7359e-07| 0| 0.0118| 99.75| 0.0118| 0| 0.1000| 0.1000|
468
+ [ INFO : 2025-07-02 19:05:50,192 ] - | 5| 4100|5.6898e-07| 0| 0.0117| 99.75| 0.0117| 0| 0.1000| 0.1000|
469
+ [ INFO : 2025-07-02 19:06:49,993 ] - | 5| 4200| 5.644e-07| 0| 0.0117| 99.74| 0.0117| 0| 0.1000| 0.1000|
470
+ [ INFO : 2025-07-02 19:07:49,790 ] - | 5| 4300|5.5985e-07| 0| 0.0117| 99.75| 0.0117| 0| 0.1000| 0.1000|
471
+ [ INFO : 2025-07-02 19:08:49,574 ] - | 5| 4400|5.5535e-07| 0| 0.0116| 99.75| 0.0116| 0| 0.1000| 0.1000|
472
+ [ INFO : 2025-07-02 19:09:49,699 ] - | 5| 4500|5.5088e-07| 0| 0.0116| 99.75| 0.0116| 0| 0.1000| 0.0998|
473
+ [ INFO : 2025-07-02 19:10:49,591 ] - | 5| 4600|5.4644e-07| 0| 0.0116| 99.75| 0.0116| 0| 0.1000| 0.1000|
474
+ [ INFO : 2025-07-02 19:11:49,445 ] - | 5| 4700|5.4204e-07| 0| 0.0116| 99.75| 0.0116| 0| 0.1000| 0.1000|
475
+ [ INFO : 2025-07-02 19:12:49,219 ] - | 5| 4800|5.3768e-07| 0| 0.0116| 99.75| 0.0116| 0| 0.1000| 0.1000|
476
+ [ INFO : 2025-07-02 19:13:48,947 ] - | 5| 4900|5.3335e-07| 0| 0.0115| 99.75| 0.0115| 0| 0.1000| 0.0999|
477
+ [ INFO : 2025-07-02 19:14:48,708 ] - | 5| 5000|5.2906e-07| 0| 0.0114| 99.75| 0.0114| 0| 0.1000| 0.0999|
478
+ [ INFO : 2025-07-02 19:15:48,501 ] - | 5| 5100| 5.248e-07| 0| 0.0115| 99.75| 0.0115| 0| 0.1000| 0.1000|
479
+ [ INFO : 2025-07-02 19:16:48,293 ] - | 5| 5200|5.2058e-07| 0| 0.0115| 99.75| 0.0115| 0| 0.1000| 0.1000|
480
+ [ INFO : 2025-07-02 19:17:48,071 ] - | 5| 5300|5.1639e-07| 0| 0.0114| 99.75| 0.0114| 0| 0.1000| 0.1000|
481
+ [ INFO : 2025-07-02 19:18:47,879 ] - | 5| 5400|5.1223e-07| 0| 0.0115| 99.75| 0.0115| 0| 0.1000| 0.1000|
482
+ [ INFO : 2025-07-02 19:19:47,692 ] - | 5| 5500|5.0811e-07| 0| 0.0114| 99.75| 0.0114| 0| 0.1000| 0.0998|
483
+ [ INFO : 2025-07-02 19:20:47,541 ] - | 5| 5600|5.0402e-07| 0| 0.0114| 99.75| 0.0114| 0| 0.1000| 0.1000|
484
+ [ INFO : 2025-07-02 19:21:46,638 ] - | 5| 5698|5.0004e-07| 0| 0.0114| 99.75| 0.0114| 0| 0.1000| 0.1000|
485
+ [ INFO : 2025-07-02 19:21:48,593 ] - +----------+----------+----------+----------+----------+----------+----------+----------+----------+----------+