Hugging Face's logo

Reza2kn
/
Bina-0.2-RizehPizeh-669k-training

PaddlePaddle
Model card Files
xet
 Community
Reza2kn commited on
Commit
79a02af
Β·
verified Β·
1 Parent(s): 10648a1

Back up Bina 0.2 stream stage 006: train.log

Browse files
Files changed (1) hide show
  1. training-stream/stage-006/train.log +428 -0
training-stream/stage-006/train.log ADDED
@@ -0,0 +1,428 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ /workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/utils/cpp_extension/extension_utils.py:712: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md
2
+ warnings.warn(warning_message)
3
+ LAUNCH INFO 2026-07-25 18:15:09,587 ----------- Configuration ----------------------
4
+ LAUNCH INFO 2026-07-25 18:15:09,587 auto_cluster_config: 0
5
+ LAUNCH INFO 2026-07-25 18:15:09,587 auto_parallel_config: None
6
+ LAUNCH INFO 2026-07-25 18:15:09,587 auto_tuner_json: None
7
+ LAUNCH INFO 2026-07-25 18:15:09,587 devices: 0,1,2,3,4,5,6,7
8
+ LAUNCH INFO 2026-07-25 18:15:09,587 elastic_level: -1
9
+ LAUNCH INFO 2026-07-25 18:15:09,587 elastic_timeout: 30
10
+ LAUNCH INFO 2026-07-25 18:15:09,587 enable_gpu_log: True
11
+ LAUNCH INFO 2026-07-25 18:15:09,587 gloo_port: 6767
12
+ LAUNCH INFO 2026-07-25 18:15:09,587 host: None
13
+ LAUNCH INFO 2026-07-25 18:15:09,587 ips: None
14
+ LAUNCH INFO 2026-07-25 18:15:09,587 job_id: default
15
+ LAUNCH INFO 2026-07-25 18:15:09,587 legacy: False
16
+ LAUNCH INFO 2026-07-25 18:15:09,587 log_dir: /workspace/bina02-ppocr/training/stage-006/distributed-logs
17
+ LAUNCH INFO 2026-07-25 18:15:09,587 log_level: INFO
18
+ LAUNCH INFO 2026-07-25 18:15:09,587 log_overwrite: False
19
+ LAUNCH INFO 2026-07-25 18:15:09,587 master: None
20
+ LAUNCH INFO 2026-07-25 18:15:09,587 max_restart: 3
21
+ LAUNCH INFO 2026-07-25 18:15:09,587 nnodes: 1
22
+ LAUNCH INFO 2026-07-25 18:15:09,587 nproc_per_node: None
23
+ LAUNCH INFO 2026-07-25 18:15:09,587 rank: -1
24
+ LAUNCH INFO 2026-07-25 18:15:09,587 run_mode: collective
25
+ LAUNCH INFO 2026-07-25 18:15:09,587 server_num: None
26
+ LAUNCH INFO 2026-07-25 18:15:09,587 servers:
27
+ LAUNCH INFO 2026-07-25 18:15:09,587 sort_ip: False
28
+ LAUNCH INFO 2026-07-25 18:15:09,587 start_port: 6070
29
+ LAUNCH INFO 2026-07-25 18:15:09,587 trainer_num: None
30
+ LAUNCH INFO 2026-07-25 18:15:09,588 trainers:
31
+ LAUNCH INFO 2026-07-25 18:15:09,588 training_script: /workspace/bina02-ppocr/PaddleOCR/tools/train.py
32
+ LAUNCH INFO 2026-07-25 18:15:09,588 training_script_args: ['-c', '/workspace/bina02-ppocr/training/stage-006/input_config.yml']
33
+ LAUNCH INFO 2026-07-25 18:15:09,588 with_gloo: 1
34
+ LAUNCH INFO 2026-07-25 18:15:09,588 --------------------------------------------------
35
+ LAUNCH INFO 2026-07-25 18:15:09,589 Job: default, mode collective, replicas 1[1:1], elastic False
36
+ LAUNCH INFO 2026-07-25 18:15:09,590 Run Pod: pfyfyp, replicas 8, status ready
37
+ LAUNCH INFO 2026-07-25 18:15:09,857 Watching Pod: pfyfyp, replicas 8, status running
38
+ /workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/utils/cpp_extension/extension_utils.py:712: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md
39
+ warnings.warn(warning_message)
40
+ Skipping import of the encryption module.
41
+ [2026/07/25 18:15:17] ppocr INFO: Architecture :
42
+ [2026/07/25 18:15:17] ppocr INFO: Backbone :
43
+ [2026/07/25 18:15:17] ppocr INFO: force_pool_width : True
44
+ [2026/07/25 18:15:17] ppocr INFO: model_size : medium
45
+ [2026/07/25 18:15:17] ppocr INFO: name : PPLCNetV4
46
+ [2026/07/25 18:15:17] ppocr INFO: train_pool_width : 96
47
+ [2026/07/25 18:15:17] ppocr INFO: Head :
48
+ [2026/07/25 18:15:17] ppocr INFO: head_list :
49
+ [2026/07/25 18:15:17] ppocr INFO: CTCHead :
50
+ [2026/07/25 18:15:17] ppocr INFO: Head :
51
+ [2026/07/25 18:15:17] ppocr INFO: fc_decay : 1e-05
52
+ [2026/07/25 18:15:17] ppocr INFO: Neck :
53
+ [2026/07/25 18:15:17] ppocr INFO: depth : 2
54
+ [2026/07/25 18:15:17] ppocr INFO: dims : 192
55
+ [2026/07/25 18:15:17] ppocr INFO: local_kernel : 7
56
+ [2026/07/25 18:15:17] ppocr INFO: mlp_ratio : 4.0
57
+ [2026/07/25 18:15:17] ppocr INFO: name : lightsvtr
58
+ [2026/07/25 18:15:17] ppocr INFO: use_guide : False
59
+ [2026/07/25 18:15:17] ppocr INFO: NRTRHead :
60
+ [2026/07/25 18:15:17] ppocr INFO: max_text_length : 128
61
+ [2026/07/25 18:15:17] ppocr INFO: nrtr_dim : 512
62
+ [2026/07/25 18:15:17] ppocr INFO: name : MultiHead
63
+ [2026/07/25 18:15:17] ppocr INFO: Transform : None
64
+ [2026/07/25 18:15:17] ppocr INFO: algorithm : SVTR_LCNet
65
+ [2026/07/25 18:15:17] ppocr INFO: model_type : rec
66
+ [2026/07/25 18:15:17] ppocr INFO: Eval :
67
+ [2026/07/25 18:15:17] ppocr INFO: dataset :
68
+ [2026/07/25 18:15:17] ppocr INFO: data_dir : /
69
+ [2026/07/25 18:15:17] ppocr INFO: label_file_list : ['/workspace/bina02-ppocr/stream/datasets/chunk-006/eval_ctc.txt']
70
+ [2026/07/25 18:15:17] ppocr INFO: name : SimpleDataSet
71
+ [2026/07/25 18:15:17] ppocr INFO: transforms :
72
+ [2026/07/25 18:15:17] ppocr INFO: DecodeImage :
73
+ [2026/07/25 18:15:17] ppocr INFO: channel_first : False
74
+ [2026/07/25 18:15:17] ppocr INFO: img_mode : BGR
75
+ [2026/07/25 18:15:17] ppocr INFO: MultiLabelEncode :
76
+ [2026/07/25 18:15:17] ppocr INFO: gtc_encode : NRTRLabelEncode
77
+ [2026/07/25 18:15:17] ppocr INFO: RecResizeImg :
78
+ [2026/07/25 18:15:17] ppocr INFO: image_shape : [3, 48, 768]
79
+ [2026/07/25 18:15:17] ppocr INFO: padding : False
80
+ [2026/07/25 18:15:17] ppocr INFO: KeepKeys :
81
+ [2026/07/25 18:15:17] ppocr INFO: keep_keys : ['image', 'label_ctc', 'label_gtc', 'length', 'valid_ratio']
82
+ [2026/07/25 18:15:17] ppocr INFO: loader :
83
+ [2026/07/25 18:15:17] ppocr INFO: batch_size_per_card : 32
84
+ [2026/07/25 18:15:17] ppocr INFO: drop_last : False
85
+ [2026/07/25 18:15:17] ppocr INFO: num_workers : 4
86
+ [2026/07/25 18:15:17] ppocr INFO: shuffle : False
87
+ [2026/07/25 18:15:17] ppocr INFO: Global :
88
+ [2026/07/25 18:15:17] ppocr INFO: cal_metric_during_train : False
89
+ [2026/07/25 18:15:17] ppocr INFO: character_dict_path : /workspace/bina02-ppocr/stream/datasets/chunk-006/persian_arabic_bina02_dict.txt
90
+ [2026/07/25 18:15:17] ppocr INFO: checkpoints : None
91
+ [2026/07/25 18:15:17] ppocr INFO: d2s_train_image_shape : [3, 48, 768]
92
+ [2026/07/25 18:15:17] ppocr INFO: debug : False
93
+ [2026/07/25 18:15:17] ppocr INFO: distributed : True
94
+ [2026/07/25 18:15:17] ppocr INFO: epoch_num : 1
95
+ [2026/07/25 18:15:17] ppocr INFO: eval_batch_step : [0, 100]
96
+ [2026/07/25 18:15:17] ppocr INFO: freeze_batch_norm : True
97
+ [2026/07/25 18:15:17] ppocr INFO: infer_img : doc/imgs_words/ch/word_1.jpg
98
+ [2026/07/25 18:15:17] ppocr INFO: infer_mode : False
99
+ [2026/07/25 18:15:17] ppocr INFO: log_smooth_window : 20
100
+ [2026/07/25 18:15:17] ppocr INFO: max_text_length : 128
101
+ [2026/07/25 18:15:17] ppocr INFO: model_name : PP-OCRv6_medium_rec
102
+ [2026/07/25 18:15:17] ppocr INFO: pretrained_model : /workspace/bina02-ppocr/training/stage-005/best_accuracy
103
+ [2026/07/25 18:15:17] ppocr INFO: print_batch_step : 20
104
+ [2026/07/25 18:15:17] ppocr INFO: save_epoch_step : 1
105
+ [2026/07/25 18:15:17] ppocr INFO: save_inference_dir : None
106
+ [2026/07/25 18:15:17] ppocr INFO: save_model_dir : /workspace/bina02-ppocr/training/stage-006
107
+ [2026/07/25 18:15:17] ppocr INFO: save_res_path : /workspace/bina02-ppocr/training/stage-006/predicts.txt
108
+ [2026/07/25 18:15:17] ppocr INFO: trainable_parameter_prefixes : ['head.ctc_head.fc.']
109
+ [2026/07/25 18:15:17] ppocr INFO: use_gpu : True
110
+ [2026/07/25 18:15:17] ppocr INFO: use_space_char : True
111
+ [2026/07/25 18:15:17] ppocr INFO: use_visualdl : False
112
+ [2026/07/25 18:15:17] ppocr INFO: Loss :
113
+ [2026/07/25 18:15:17] ppocr INFO: loss_config_list :
114
+ [2026/07/25 18:15:17] ppocr INFO: CTCLoss : None
115
+ [2026/07/25 18:15:17] ppocr INFO: NRTRLoss : None
116
+ [2026/07/25 18:15:17] ppocr INFO: name : MultiLoss
117
+ [2026/07/25 18:15:17] ppocr INFO: weight_1 : 1.0
118
+ [2026/07/25 18:15:17] ppocr INFO: weight_2 : 0.0
119
+ [2026/07/25 18:15:17] ppocr INFO: Metric :
120
+ [2026/07/25 18:15:17] ppocr INFO: ignore_space : False
121
+ [2026/07/25 18:15:17] ppocr INFO: main_indicator : norm_edit_dis
122
+ [2026/07/25 18:15:17] ppocr INFO: name : RecMetric
123
+ [2026/07/25 18:15:17] ppocr INFO: Optimizer :
124
+ [2026/07/25 18:15:17] ppocr INFO: beta1 : 0.9
125
+ [2026/07/25 18:15:17] ppocr INFO: beta2 : 0.999
126
+ [2026/07/25 18:15:17] ppocr INFO: lr :
127
+ [2026/07/25 18:15:17] ppocr INFO: learning_rate : 1e-05
128
+ [2026/07/25 18:15:17] ppocr INFO: name : Cosine
129
+ [2026/07/25 18:15:17] ppocr INFO: warmup_epoch : 0
130
+ [2026/07/25 18:15:17] ppocr INFO: name : Adam
131
+ [2026/07/25 18:15:17] ppocr INFO: regularizer :
132
+ [2026/07/25 18:15:17] ppocr INFO: factor : 0.0
133
+ [2026/07/25 18:15:17] ppocr INFO: name : L2
134
+ [2026/07/25 18:15:17] ppocr INFO: PostProcess :
135
+ [2026/07/25 18:15:17] ppocr INFO: name : CTCLabelDecode
136
+ [2026/07/25 18:15:17] ppocr INFO: Train :
137
+ [2026/07/25 18:15:17] ppocr INFO: dataset :
138
+ [2026/07/25 18:15:17] ppocr INFO: data_dir : /
139
+ [2026/07/25 18:15:17] ppocr INFO: ds_width : False
140
+ [2026/07/25 18:15:17] ppocr INFO: ext_op_transform_idx : 1
141
+ [2026/07/25 18:15:17] ppocr INFO: label_file_list : ['/workspace/bina02-ppocr/stream/datasets/chunk-006/train_ctc.txt']
142
+ [2026/07/25 18:15:17] ppocr INFO: name : MultiScaleDataSet
143
+ [2026/07/25 18:15:17] ppocr INFO: padding : False
144
+ [2026/07/25 18:15:17] ppocr INFO: ratio_list : [1.0]
145
+ [2026/07/25 18:15:17] ppocr INFO: transforms :
146
+ [2026/07/25 18:15:17] ppocr INFO: DecodeImage :
147
+ [2026/07/25 18:15:17] ppocr INFO: channel_first : False
148
+ [2026/07/25 18:15:17] ppocr INFO: img_mode : BGR
149
+ [2026/07/25 18:15:17] ppocr INFO: RecConAug :
150
+ [2026/07/25 18:15:17] ppocr INFO: ext_data_num : 0
151
+ [2026/07/25 18:15:17] ppocr INFO: image_shape : [48, 768, 3]
152
+ [2026/07/25 18:15:17] ppocr INFO: max_text_length : 128
153
+ [2026/07/25 18:15:17] ppocr INFO: prob : 0.0
154
+ [2026/07/25 18:15:17] ppocr INFO: RecAug : None
155
+ [2026/07/25 18:15:17] ppocr INFO: MultiLabelEncode :
156
+ [2026/07/25 18:15:17] ppocr INFO: gtc_encode : NRTRLabelEncode
157
+ [2026/07/25 18:15:17] ppocr INFO: KeepKeys :
158
+ [2026/07/25 18:15:17] ppocr INFO: keep_keys : ['image', 'label_ctc', 'label_gtc', 'length', 'valid_ratio']
159
+ [2026/07/25 18:15:17] ppocr INFO: loader :
160
+ [2026/07/25 18:15:17] ppocr INFO: batch_size_per_card : 32
161
+ [2026/07/25 18:15:17] ppocr INFO: drop_last : False
162
+ [2026/07/25 18:15:17] ppocr INFO: num_workers : 4
163
+ [2026/07/25 18:15:17] ppocr INFO: shuffle : True
164
+ [2026/07/25 18:15:17] ppocr INFO: sampler :
165
+ [2026/07/25 18:15:17] ppocr INFO: divided_factor : [8, 16]
166
+ [2026/07/25 18:15:17] ppocr INFO: first_bs : 32
167
+ [2026/07/25 18:15:17] ppocr INFO: fix_bs : True
168
+ [2026/07/25 18:15:17] ppocr INFO: is_training : True
169
+ [2026/07/25 18:15:17] ppocr INFO: name : MultiScaleSampler
170
+ [2026/07/25 18:15:17] ppocr INFO: scales : [[768, 48]]
171
+ [2026/07/25 18:15:17] ppocr INFO: profiler_options : None
172
+ [2026/07/25 18:15:17] ppocr INFO: train with paddle 3.3.0 and device Place(gpu:0)
173
+ ======================= Modified FLAGS detected =======================
174
+ FLAGS(name='FLAGS_nccl_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/nccl/lib', default_value='')
175
+ FLAGS(name='FLAGS_cublas_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/cublas/lib', default_value='')
176
+ FLAGS(name='FLAGS_curand_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/curand/lib', default_value='')
177
+ FLAGS(name='FLAGS_cudnn_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/cudnn/lib', default_value='')
178
+ FLAGS(name='FLAGS_enable_pir_in_executor', current_value=True, default_value=False)
179
+ FLAGS(name='FLAGS_cuda_cccl_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/cuda_cccl/include/', default_value='')
180
+ FLAGS(name='FLAGS_cupti_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/cuda_cupti/lib', default_value='')
181
+ FLAGS(name='FLAGS_cudnn_deterministic', current_value=True, default_value=False)
182
+ FLAGS(name='FLAGS_cusparse_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/cusparse/lib', default_value='')
183
+ FLAGS(name='FLAGS_selected_gpus', current_value='0', default_value='')
184
+ FLAGS(name='FLAGS_nvidia_package_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia', default_value='')
185
+ FLAGS(name='FLAGS_cusolver_dir', current_value='/workspace/bina02-ppocr/.venv/lib/python3.12/site-packages/paddle/../nvidia/cusolver/lib', default_value='')
186
+ =======================================================================
187
+ I0725 18:15:17.169566 121851 tcp_store.cc:336] create libuv server at port: 49289
188
+ I0725 18:15:17.170150 121851 tcp_utils.cc:132] Successfully connected to 172.17.0.2:49289
189
+ I0725 18:15:19.249922 121851 process_group_nccl.cc:155] ProcessGroupNCCL pg_timeout_ 1800000
190
+ I0725 18:15:19.249997 121851 process_group_nccl.cc:156] ProcessGroupNCCL nccl_comm_init_option_ 0
191
+ [2026/07/25 18:15:19] ppocr INFO: Initialize indexs of datasets:['/workspace/bina02-ppocr/stream/datasets/chunk-006/train_ctc.txt']
192
+ [2026/07/25 18:15:19] ppocr INFO: Initialize indexs of datasets:['/workspace/bina02-ppocr/stream/datasets/chunk-006/eval_ctc.txt']
193
+ W0725 18:15:19.470986 121851 gpu_resources.cc:116] Please NOTE: device: 0, GPU Compute Capability: 12.0, Driver API Version: 13.0, Runtime API Version: 13.0
194
+ [2026/07/25 18:15:19] ppocr INFO: froze 61 BatchNorm layers with pretrained global statistics
195
+ [2026/07/25 18:15:19] ppocr INFO: selective training enabled: 2 trainable tensors, 438 frozen tensors; head.ctc_head.fc.weight, head.ctc_head.fc.bias
196
+ [2026-07-25 18:15:19,858] [ INFO] optimizer.py:254 - If regularizer of a Parameter has been set by 'paddle.ParamAttr' or 'static.WeightNormParamAttr' already. The weight_decay[0.0] in Optimizer will not take effect, and it will only be applied to other Parameters!
197
+ [2026/07/25 18:15:19] ppocr INFO: train dataloader has 391 iters
198
+ [2026/07/25 18:15:19] ppocr INFO: valid dataloader has 128 iters
199
+ [2026/07/25 18:15:20] ppocr INFO: load pretrain successful from /workspace/bina02-ppocr/training/stage-005/best_accuracy
200
+ [2026/07/25 18:15:20] ppocr INFO: During the training process, after the 0th iteration, an evaluation is run every 100 iterations
201
+ [2026/07/25 18:15:26] ppocr INFO: epoch: [1/1], global_step: 20, lr: 0.000010, CTCLoss: 52.460033, NRTRLoss: 0.000000, loss: 52.460033, avg_reader_cost: 0.09061 s, avg_batch_cost: 0.22112 s, avg_samples: 32.0, ips: 144.72071 samples/s, eta: 0:01:22, max_mem_reserved: 1045 MB, max_mem_allocated: 656 MB
202
+ [2026/07/25 18:15:28] ppocr INFO: epoch: [1/1], global_step: 40, lr: 0.000010, CTCLoss: 59.056267, NRTRLoss: 0.000000, loss: 59.056267, avg_reader_cost: 0.00176 s, avg_batch_cost: 0.08307 s, avg_samples: 32.0, ips: 385.21788 samples/s, eta: 0:00:53, max_mem_reserved: 1045 MB, max_mem_allocated: 656 MB
203
+ [2026/07/25 18:15:31] ppocr INFO: epoch: [1/1], global_step: 60, lr: 0.000010, CTCLoss: 65.022923, NRTRLoss: 0.000000, loss: 65.022923, avg_reader_cost: 0.00166 s, avg_batch_cost: 0.08146 s, avg_samples: 32.0, ips: 392.84148 samples/s, eta: 0:00:42, max_mem_reserved: 1045 MB, max_mem_allocated: 656 MB
204
+ [2026/07/25 18:15:33] ppocr INFO: epoch: [1/1], global_step: 80, lr: 0.000009, CTCLoss: 55.298651, NRTRLoss: 0.000000, loss: 55.298651, avg_reader_cost: 0.00174 s, avg_batch_cost: 0.07838 s, avg_samples: 32.0, ips: 408.29262 samples/s, eta: 0:00:36, max_mem_reserved: 1045 MB, max_mem_allocated: 656 MB
205
+ [2026/07/25 18:15:36] ppocr INFO: epoch: [1/1], global_step: 100, lr: 0.000009, CTCLoss: 56.406462, NRTRLoss: 0.000000, loss: 56.406462, avg_reader_cost: 0.00212 s, avg_batch_cost: 0.08413 s, avg_samples: 32.0, ips: 380.35666 samples/s, eta: 0:00:31, max_mem_reserved: 1045 MB, max_mem_allocated: 656 MB
206
+
207
+ eval model:: 0%| | 0/128 [00:00<?, ?it/s]
208
+ eval model:: 1%| | 1/128 [00:00<01:01, 2.07it/s]
209
+ eval model:: 2%|▏ | 2/128 [00:00<00:34, 3.70it/s]
210
+ eval model:: 3%|β–Ž | 4/128 [00:00<00:18, 6.86it/s]
211
+ eval model:: 5%|▍ | 6/128 [00:00<00:13, 8.76it/s]
212
+ eval model:: 6%|β–‹ | 8/128 [00:01<00:11, 10.14it/s]
213
+ eval model:: 8%|β–Š | 10/128 [00:01<00:10, 10.84it/s]
214
+ eval model:: 9%|β–‰ | 12/128 [00:01<00:10, 11.49it/s]
215
+ eval model:: 11%|β–ˆ | 14/128 [00:01<00:09, 12.13it/s]
216
+ eval model:: 12%|β–ˆβ–Ž | 16/128 [00:01<00:09, 12.34it/s]
217
+ eval model:: 14%|β–ˆβ– | 18/128 [00:01<00:08, 12.50it/s]
218
+ eval model:: 16%|β–ˆβ–Œ | 20/128 [00:01<00:08, 12.69it/s]
219
+ eval model:: 17%|β–ˆβ–‹ | 22/128 [00:02<00:08, 12.94it/s]
220
+ eval model:: 19%|β–ˆβ–‰ | 24/128 [00:02<00:07, 13.20it/s]
221
+ eval model:: 20%|β–ˆβ–ˆ | 26/128 [00:02<00:07, 13.28it/s]
222
+ eval model:: 22%|β–ˆβ–ˆβ– | 28/128 [00:02<00:07, 13.45it/s]
223
+ eval model:: 23%|β–ˆβ–ˆβ–Ž | 30/128 [00:02<00:07, 13.48it/s]
224
+ eval model:: 25%|β–ˆβ–ˆβ–Œ | 32/128 [00:02<00:07, 13.56it/s]
225
+ eval model:: 27%|β–ˆβ–ˆβ–‹ | 34/128 [00:03<00:06, 13.53it/s]
226
+ eval model:: 28%|β–ˆβ–ˆβ–Š | 36/128 [00:03<00:06, 13.59it/s]
227
+ eval model:: 30%|β–ˆβ–ˆβ–‰ | 38/128 [00:03<00:06, 13.57it/s]
228
+ eval model:: 31%|β–ˆβ–ˆβ–ˆβ– | 40/128 [00:03<00:06, 13.68it/s]
229
+ eval model:: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 42/128 [00:03<00:06, 13.59it/s]
230
+ eval model:: 34%|β–ˆβ–ˆβ–ˆβ– | 44/128 [00:03<00:06, 13.66it/s]
231
+ eval model:: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 46/128 [00:03<00:06, 13.65it/s]
232
+ eval model:: 38%|β–ˆβ–ˆβ–ˆβ–Š | 48/128 [00:04<00:05, 13.69it/s]
233
+ eval model:: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 50/128 [00:04<00:05, 13.63it/s]
234
+ eval model:: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 52/128 [00:04<00:05, 13.72it/s]
235
+ eval model:: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 54/128 [00:04<00:05, 13.69it/s]
236
+ eval model:: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 56/128 [00:04<00:05, 13.70it/s]
237
+ eval model:: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 58/128 [00:04<00:05, 13.43it/s]
238
+ eval model:: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 60/128 [00:04<00:05, 12.97it/s]
239
+ eval model:: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 62/128 [00:05<00:05, 12.59it/s]
240
+ eval model:: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 64/128 [00:05<00:04, 12.94it/s]
241
+ eval model:: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 66/128 [00:05<00:04, 12.45it/s]
242
+ eval model:: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 68/128 [00:05<00:04, 12.30it/s]
243
+ eval model:: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 70/128 [00:05<00:04, 12.18it/s]
244
+ eval model:: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 72/128 [00:05<00:04, 11.30it/s]
245
+ eval model:: 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 74/128 [00:06<00:04, 10.91it/s]
246
+ eval model:: 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 76/128 [00:06<00:04, 11.21it/s]
247
+ eval model:: 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 78/128 [00:06<00:04, 11.68it/s]
248
+ eval model:: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 80/128 [00:06<00:03, 12.29it/s]
249
+ eval model:: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 82/128 [00:06<00:03, 12.48it/s]
250
+ eval model:: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 84/128 [00:06<00:03, 12.66it/s]
251
+ eval model:: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 86/128 [00:07<00:03, 12.78it/s]
252
+ eval model:: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 88/128 [00:07<00:03, 12.89it/s]
253
+ eval model:: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 90/128 [00:07<00:02, 13.12it/s]
254
+ eval model:: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 92/128 [00:07<00:02, 13.32it/s]
255
+ eval model:: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 94/128 [00:07<00:02, 13.37it/s]
256
+ eval model:: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 96/128 [00:07<00:02, 13.52it/s]
257
+ eval model:: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 98/128 [00:07<00:02, 13.57it/s]
258
+ eval model:: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 100/128 [00:08<00:02, 13.65it/s]
259
+ eval model:: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 102/128 [00:08<00:01, 13.66it/s]
260
+ eval model:: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 104/128 [00:08<00:01, 13.66it/s]
261
+ eval model:: 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 106/128 [00:08<00:01, 13.71it/s]
262
+ eval model:: 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 108/128 [00:08<00:01, 13.76it/s]
263
+ eval model:: 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 110/128 [00:08<00:01, 13.73it/s]
264
+ eval model:: 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 112/128 [00:08<00:01, 13.82it/s]
265
+ eval model:: 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 114/128 [00:09<00:01, 13.79it/s]
266
+ eval model:: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 116/128 [00:09<00:00, 13.74it/s]
267
+ eval model:: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 118/128 [00:09<00:00, 13.68it/s]
268
+ eval model:: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 120/128 [00:09<00:00, 13.76it/s]
269
+ eval model:: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 122/128 [00:09<00:00, 13.83it/s]
270
+ eval model:: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 124/128 [00:09<00:00, 13.86it/s]
271
+ eval model:: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 126/128 [00:10<00:00, 13.83it/s]
272
+ eval model:: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 128/128 [00:10<00:00, 13.91it/s]
273
+ eval model:: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 128/128 [00:10<00:00, 12.47it/s]
274
+ [2026/07/25 18:15:46] ppocr INFO: cur metric, acc: 0.8486328104281426, norm_edit_dis: 0.9879780683424594, fps: 442.1108256755321
275
+ [2026/07/25 18:15:47] ppocr INFO: save best model is to /workspace/bina02-ppocr/training/stage-006/best_accuracy
276
+ [2026/07/25 18:15:47] ppocr INFO: best metric, norm_edit_dis: 0.9879780683424594, is_float16: False, acc: 0.8486328104281426, fps: 442.1108256755321, best_epoch: 1
277
+ [2026/07/25 18:15:49] ppocr INFO: epoch: [1/1], global_step: 120, lr: 0.000008, CTCLoss: 59.759993, NRTRLoss: 0.000000, loss: 59.759993, avg_reader_cost: 0.00938 s, avg_batch_cost: 0.09151 s, avg_samples: 32.0, ips: 349.68005 samples/s, eta: 0:00:28, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
278
+ [2026/07/25 18:15:52] ppocr INFO: epoch: [1/1], global_step: 140, lr: 0.000008, CTCLoss: 63.851620, NRTRLoss: 0.000000, loss: 63.851620, avg_reader_cost: 0.00123 s, avg_batch_cost: 0.07610 s, avg_samples: 32.0, ips: 420.50966 samples/s, eta: 0:00:25, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
279
+ [2026/07/25 18:15:55] ppocr INFO: epoch: [1/1], global_step: 160, lr: 0.000007, CTCLoss: 62.837765, NRTRLoss: 0.000000, loss: 62.837765, avg_reader_cost: 0.00170 s, avg_batch_cost: 0.07990 s, avg_samples: 32.0, ips: 400.50300 samples/s, eta: 0:00:22, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
280
+ [2026/07/25 18:15:57] ppocr INFO: epoch: [1/1], global_step: 180, lr: 0.000006, CTCLoss: 66.564224, NRTRLoss: 0.000000, loss: 66.564224, avg_reader_cost: 0.01624 s, avg_batch_cost: 0.09350 s, avg_samples: 32.0, ips: 342.24243 samples/s, eta: 0:00:20, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
281
+ [2026/07/25 18:16:00] ppocr INFO: epoch: [1/1], global_step: 200, lr: 0.000005, CTCLoss: 56.136749, NRTRLoss: 0.000000, loss: 56.136749, avg_reader_cost: 0.01188 s, avg_batch_cost: 0.08972 s, avg_samples: 32.0, ips: 356.65016 samples/s, eta: 0:00:18, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
282
+
283
+ eval model:: 0%| | 0/128 [00:00<?, ?it/s]
284
+ eval model:: 1%| | 1/128 [00:00<00:58, 2.19it/s]
285
+ eval model:: 2%|▏ | 2/128 [00:00<00:31, 3.96it/s]
286
+ eval model:: 3%|β–Ž | 4/128 [00:00<00:17, 7.15it/s]
287
+ eval model:: 5%|▍ | 6/128 [00:00<00:13, 9.00it/s]
288
+ eval model:: 6%|β–‹ | 8/128 [00:01<00:11, 10.46it/s]
289
+ eval model:: 8%|β–Š | 10/128 [00:01<00:10, 11.35it/s]
290
+ eval model:: 9%|β–‰ | 12/128 [00:01<00:09, 12.02it/s]
291
+ eval model:: 11%|β–ˆ | 14/128 [00:01<00:09, 12.49it/s]
292
+ eval model:: 12%|β–ˆβ–Ž | 16/128 [00:01<00:08, 12.80it/s]
293
+ eval model:: 14%|β–ˆβ– | 18/128 [00:01<00:08, 12.97it/s]
294
+ eval model:: 16%|β–ˆβ–Œ | 20/128 [00:01<00:08, 13.16it/s]
295
+ eval model:: 17%|β–ˆβ–‹ | 22/128 [00:02<00:08, 13.21it/s]
296
+ eval model:: 19%|β–ˆβ–‰ | 24/128 [00:02<00:07, 13.34it/s]
297
+ eval model:: 20%|β–ˆβ–ˆ | 26/128 [00:02<00:07, 13.36it/s]
298
+ eval model:: 22%|β–ˆβ–ˆβ– | 28/128 [00:02<00:07, 13.49it/s]
299
+ eval model:: 23%|β–ˆβ–ˆβ–Ž | 30/128 [00:02<00:07, 13.40it/s]
300
+ eval model:: 25%|β–ˆβ–ˆβ–Œ | 32/128 [00:02<00:07, 13.14it/s]
301
+ eval model:: 27%|β–ˆβ–ˆβ–‹ | 34/128 [00:02<00:07, 12.17it/s]
302
+ eval model:: 28%|β–ˆβ–ˆβ–Š | 36/128 [00:03<00:07, 11.85it/s]
303
+ eval model:: 30%|β–ˆβ–ˆβ–‰ | 38/128 [00:03<00:07, 11.85it/s]
304
+ eval model:: 31%|β–ˆβ–ˆβ–ˆβ– | 40/128 [00:03<00:07, 11.85it/s]
305
+ eval model:: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 42/128 [00:03<00:06, 12.34it/s]
306
+ eval model:: 34%|β–ˆβ–ˆβ–ˆβ– | 44/128 [00:03<00:07, 11.96it/s]
307
+ eval model:: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 46/128 [00:04<00:06, 11.93it/s]
308
+ eval model:: 38%|β–ˆβ–ˆβ–ˆβ–Š | 48/128 [00:04<00:06, 11.90it/s]
309
+ eval model:: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 50/128 [00:04<00:06, 12.18it/s]
310
+ eval model:: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 52/128 [00:04<00:06, 12.36it/s]
311
+ eval model:: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 54/128 [00:04<00:05, 12.71it/s]
312
+ eval model:: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 56/128 [00:04<00:05, 12.76it/s]
313
+ eval model:: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 58/128 [00:04<00:05, 12.60it/s]
314
+ eval model:: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 60/128 [00:05<00:05, 12.67it/s]
315
+ eval model:: 48%|οΏ½οΏ½β–ˆβ–ˆβ–ˆβ–Š | 62/128 [00:05<00:05, 12.62it/s]
316
+ eval model:: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 64/128 [00:05<00:04, 12.92it/s]
317
+ eval model:: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 66/128 [00:05<00:04, 13.09it/s]
318
+ eval model:: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 68/128 [00:05<00:04, 13.20it/s]
319
+ eval model:: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 70/128 [00:05<00:04, 13.30it/s]
320
+ eval model:: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 72/128 [00:06<00:04, 13.39it/s]
321
+ eval model:: 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 74/128 [00:06<00:04, 13.36it/s]
322
+ eval model:: 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 76/128 [00:06<00:03, 13.35it/s]
323
+ eval model:: 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 78/128 [00:06<00:03, 13.37it/s]
324
+ eval model:: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 80/128 [00:06<00:03, 13.45it/s]
325
+ eval model:: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 82/128 [00:06<00:03, 13.49it/s]
326
+ eval model:: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 84/128 [00:06<00:03, 13.42it/s]
327
+ eval model:: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 86/128 [00:07<00:03, 13.45it/s]
328
+ eval model:: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 88/128 [00:07<00:02, 13.49it/s]
329
+ eval model:: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 90/128 [00:07<00:02, 13.50it/s]
330
+ eval model:: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 92/128 [00:07<00:02, 13.49it/s]
331
+ eval model:: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 94/128 [00:07<00:02, 13.55it/s]
332
+ eval model:: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 96/128 [00:07<00:02, 13.54it/s]
333
+ eval model:: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 98/128 [00:07<00:02, 13.53it/s]
334
+ eval model:: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 100/128 [00:08<00:02, 13.48it/s]
335
+ eval model:: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 102/128 [00:08<00:01, 13.06it/s]
336
+ eval model:: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 104/128 [00:08<00:01, 13.03it/s]
337
+ eval model:: 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 106/128 [00:08<00:01, 13.23it/s]
338
+ eval model:: 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 108/128 [00:08<00:01, 12.72it/s]
339
+ eval model:: 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 110/128 [00:08<00:01, 12.68it/s]
340
+ eval model:: 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 112/128 [00:09<00:01, 11.34it/s]
341
+ eval model:: 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 114/128 [00:09<00:01, 10.56it/s]
342
+ eval model:: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 116/128 [00:09<00:01, 10.51it/s]
343
+ eval model:: 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 118/128 [00:09<00:00, 10.88it/s]
344
+ eval model:: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 120/128 [00:09<00:00, 10.97it/s]
345
+ eval model:: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 122/128 [00:10<00:00, 11.45it/s]
346
+ eval model:: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 124/128 [00:10<00:00, 11.88it/s]
347
+ eval model:: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 126/128 [00:10<00:00, 12.38it/s]
348
+ eval model:: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 128/128 [00:10<00:00, 12.56it/s]
349
+ eval model:: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 128/128 [00:10<00:00, 12.05it/s]
350
+ [2026/07/25 18:16:10] ppocr INFO: cur metric, acc: 0.8488769510525466, norm_edit_dis: 0.9879984717802434, fps: 434.61462099242044
351
+ [2026/07/25 18:16:11] ppocr INFO: save best model is to /workspace/bina02-ppocr/training/stage-006/best_accuracy
352
+ [2026/07/25 18:16:11] ppocr INFO: best metric, norm_edit_dis: 0.9879984717802434, is_float16: False, acc: 0.8488769510525466, fps: 434.61462099242044, best_epoch: 1
353
+ [2026/07/25 18:16:13] ppocr INFO: epoch: [1/1], global_step: 220, lr: 0.000004, CTCLoss: 53.755455, NRTRLoss: 0.000000, loss: 53.755455, avg_reader_cost: 0.00779 s, avg_batch_cost: 0.08497 s, avg_samples: 32.0, ips: 376.61461 samples/s, eta: 0:00:16, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
354
+ [2026/07/25 18:16:16] ppocr INFO: epoch: [1/1], global_step: 240, lr: 0.000004, CTCLoss: 53.158264, NRTRLoss: 0.000000, loss: 53.158264, avg_reader_cost: 0.00824 s, avg_batch_cost: 0.08943 s, avg_samples: 32.0, ips: 357.83059 samples/s, eta: 0:00:14, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
355
+ [2026/07/25 18:16:19] ppocr INFO: epoch: [1/1], global_step: 260, lr: 0.000003, CTCLoss: 54.422583, NRTRLoss: 0.000000, loss: 54.422583, avg_reader_cost: 0.00162 s, avg_batch_cost: 0.08143 s, avg_samples: 32.0, ips: 392.97156 samples/s, eta: 0:00:12, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
356
+ [2026/07/25 18:16:21] ppocr INFO: epoch: [1/1], global_step: 280, lr: 0.000002, CTCLoss: 53.298681, NRTRLoss: 0.000000, loss: 53.298681, avg_reader_cost: 0.00209 s, avg_batch_cost: 0.08071 s, avg_samples: 32.0, ips: 396.46527 samples/s, eta: 0:00:10, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
357
+ [2026/07/25 18:16:23] ppocr INFO: epoch: [1/1], global_step: 300, lr: 0.000002, CTCLoss: 57.154110, NRTRLoss: 0.000000, loss: 57.154110, avg_reader_cost: 0.00166 s, avg_batch_cost: 0.08080 s, avg_samples: 32.0, ips: 396.01537 samples/s, eta: 0:00:08, max_mem_reserved: 1045 MB, max_mem_allocated: 672 MB
358
+
359
+ eval model:: 0%| | 0/128 [00:00<?, ?it/s]
360
+ eval model:: 1%| | 1/128 [00:00<01:01, 2.07it/s]
361
+ eval model:: 2%|▏ | 3/128 [00:00<00:23, 5.30it/s]
362
+ eval model:: 4%|▍ | 5/128 [00:00<00:16, 7.51it/s]
363
+ eval model:: 5%|β–Œ | 7/128 [00:00<00:12, 9.32it/s]
364
+ eval model:: 7%|β–‹ | 9/128 [00:01<00:11, 10.00it/s]
365
+ eval model:: 9%|β–Š | 11/128 [00:01<00:10, 10.64it/s]
366
+ eval model:: 10%|β–ˆ | 13/128 [00:01<00:10, 11.35it/s]
367
+ eval model:: 12%|β–ˆβ– | 15/128 [00:01<00:09, 11.52it/s]
368
+ eval model:: 13%|β–ˆβ–Ž | 17/128 [00:01<00:09, 11.69it/s]
369
+ eval model:: 15%|β–ˆβ– | 19/128 [00:01<00:08, 12.31it/s]
370
+ eval model:: 16%|β–ˆβ–‹ | 21/128 [00:02<00:08, 12.51it/s]
371
+ eval model:: 18%|β–ˆβ–Š | 23/128 [00:02<00:08, 12.49it/s]
372
+ eval model:: 20%|β–ˆβ–‰ | 25/128 [00:02<00:08, 12.68it/s]
373
+ eval model:: 21%|β–ˆβ–ˆ | 27/128 [00:02<00:07, 13.03it/s]
374
+ eval model:: 23%|β–ˆβ–ˆβ–Ž | 29/128 [00:02<00:07, 13.05it/s]
375
+ eval model:: 24%|β–ˆβ–ˆβ– | 31/128 [00:02<00:07, 12.86it/s]
376
+ eval model:: 26%|β–ˆβ–ˆβ–Œ | 33/128 [00:03<00:07, 12.76it/s]
377
+ eval model:: 27%|β–ˆβ–ˆβ–‹ | 35/128 [00:03<00:07, 13.03it/s]
378
+ eval model:: 29%|β–ˆβ–ˆβ–‰ | 37/128 [00:03<00:06, 13.22it/s]
379
+ eval model:: 30%|β–ˆβ–ˆβ–ˆ | 39/128 [00:03<00:06, 13.38it/s]
380
+ eval model:: 32%|β–ˆβ–ˆβ–ˆβ– | 41/128 [00:03<00:06, 13.48it/s]
381
+ eval model:: 34%|β–ˆβ–ˆβ–ˆβ–Ž | 43/128 [00:03<00:06, 13.59it/s]
382
+ eval model:: 35%|β–ˆβ–ˆβ–ˆβ–Œ | 45/128 [00:03<00:06, 13.71it/s]
383
+ eval model:: 37%|β–ˆβ–ˆβ–ˆβ–‹ | 47/128 [00:04<00:05, 13.76it/s]
384
+ eval model:: 38%|β–ˆβ–ˆβ–ˆβ–Š | 49/128 [00:04<00:05, 13.77it/s]
385
+ eval model:: 40%|β–ˆβ–ˆβ–ˆβ–‰ | 51/128 [00:04<00:05, 13.80it/s]
386
+ eval model:: 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 53/128 [00:04<00:05, 13.81it/s]
387
+ eval model:: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 55/128 [00:04<00:05, 13.81it/s]
388
+ eval model:: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 57/128 [00:04<00:05, 13.80it/s]
389
+ eval model:: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 59/128 [00:04<00:04, 13.83it/s]
390
+ eval model:: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 61/128 [00:05<00:04, 13.83it/s]
391
+ eval model:: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 63/128 [00:05<00:04, 13.81it/s]
392
+ eval model:: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 65/128 [00:05<00:04, 13.76it/s]
393
+ eval model:: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 67/128 [00:05<00:04, 13.82it/s]
394
+ eval model:: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 69/128 [00:05<00:04, 13.76it/s]
395
+ eval model:: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 71/128 [00:05<00:04, 13.82it/s]
396
+ eval model:: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 73/128 [00:05<00:03, 13.83it/s]
397
+ eval model:: 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 75/128 [00:06<00:03, 13.85it/s]
398
+ eval model:: 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 77/128 [00:06<00:03, 13.07it/s]
399
+ eval model:: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 79/128 [00:06<00:03, 12.68it/s]
400
+ eval model:: 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 81/128 [00:06<00:03, 12.33it/s]
401
+ eval model:: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 83/128 [00:06<00:03, 11.74it/s]
402
+ eval model:: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 85/128 [00:06<00:03, 11.40it/s]
403
+ eval model:: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 87/128 [00:07<00:03, 10.59it/s]
404
+ eval model:: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 89/128 [00:07<00:03, 10.23it/s]
405
+ eval model:: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 91/128 [00:07<00:03, 10.88it/s]
406
+ eval model:: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 93/128 [00:07<00:03, 10.95it/s]
407
+ eval model:: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 95/128 [00:07<00:02, 11.34it/s]
408
+ eval model:: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 97/128 [00:08<00:02, 11.96it/s]
409
+ eval model:: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 99/128 [00:08<00:02, 12.23it/s]
410
+ eval model:: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/128 [00:08<00:02, 12.49it/s]
411
+ eval model:: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 103/128 [00:08<00:01, 12.68it/s]
412
+ eval model:: 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 105/128 [00:08<00:01, 12.98it/s]
413
+ eval model:: 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 107/128 [00:08<00:01, 13.00it/s]
414
+ eval model:: 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 109/128 [00:08<00:01, 13.23it/s]
415
+ eval model:: 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 111/128 [00:09<00:01, 13.37it/s]
416
+ eval model:: 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 113/128 [00:09<00:01, 13.45it/s]
417
+ eval model:: 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 115/128 [00:09<00:00, 13.44it/s]
418
+ eval model:: 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 117/128 [00:09<00:00, 13.45it/s]
419
+ eval model:: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 119/128 [00:09<00:00, 13.54it/s]
420
+ eval model:: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 121/128 [00:09<00:00, 13.59it/s]
421
+ eval model:: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 123/128 [00:09<00:00, 13.68it/s]
422
+ eval model:: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 125/128 [00:10<00:00, 13.74it/s]
423
+ eval model:: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 127/128 [00:10<00:00, 13.78it/s]
424
+ eval model:: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 128/128 [00:10<00:00, 12.23it/s]
425
+ [2026/07/25 18:16:34] ppocr INFO: cur metric, acc: 0.8488769510525466, norm_edit_dis: 0.9879724322853983, fps: 438.8425061183617
426
+ [2026/07/25 18:16:34] ppocr INFO: best metric, norm_edit_dis: 0.9879984717802434, is_float16: False, acc: 0.8488769510525466, fps: 434.61462099242044, best_epoch: 1
427
+ LAUNCH INFO 2026-07-25 18:16:35,929 Terminating with signal 2
428
+ LAUNCH INFO 2026-07-25 18:16:35,967 Force quit in 10 seconds...