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workerlog.1
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I0213 23:07:02.752629 4097 gen_comm_id_helper.cc:190] Server listening on: 127.0.0.1:59998 successful.
I0213 23:07:05.692335 4097 nccl_context.cc:74] init nccl context nranks: 4 local rank: 1 gpu id: 1 ring id: 0
W0213 23:07:06.635774 4097 device_context.cc:447] Please NOTE: device: 1, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W0213 23:07:06.639827 4097 device_context.cc:465] device: 1, cuDNN Version: 7.6.
02/13/2022 23:07:13 - INFO - Dump configs into /root/paddlejob/workspace/output/finetune_retrieval_22Y_02M_13D_23H/config.yaml
02/13/2022 23:07:13 - INFO - Using configs:
02/13/2022 23:07:13 - INFO - DATASET:
DATA_DIR: data/coco_ir_paddle/
DEV: minival
FEAT_FILE: data/model_0060000/features.tsv
NAME: COCO
TEST: test
TRAIN: train
EVAL:
CHECKPOINT_DIR:
EVAL_CAPTION_INDEX_FILE: minival_caption_indexs_top20.pd
EVAL_CROSS_IMAGE: False
EVAL_IMG_KEYS_FILE:
INPUT:
ADD_OD_LABEL: True
ATT_MASK_TYPE: CLR
BERT_MODEL: bert-base-uncased
DO_LOWER_CASE: True
IMG_FEATURE_DIM: 2054
IMG_FEATURE_TYPE: frcnn
MAX_REGION: 70
MAX_SEQ_LEN: 70
NUM_CAPTIONS_PER_IMAGE_DEV: 20
NUM_CAPTIONS_PER_IMAGE_TRN: 5
MISC:
NUM_WORKERS: 8
SEED: 123
MONITOR:
EVAL_FREQ: 1
PRINT_STEP: 100
OPTIMIZATION:
BATCH_SIZE: 32
CLIP_MAX_NORM: 1.0
EPOCHS: 30
EPSILON: 1e-08
GRADIENT_ACCUMULATION_STEPS: 1
LOSS_TYPE: sfmx
LR: 2e-05
LR_SCHEDULER: linear
OPTIMIZER: adamw
WARMUP_STEPS: 0
WEIGHT_DECAY: 0.05
OUTPUT:
CHECKPOINT_DIR: /root/paddlejob/workspace/output/
NUM_LABELS: 2
SAVE_FREQ: 1
SAVE_NAME: finetune_retrieval
PRETRAINED:
DIR: data/pretrained_model_paddle
RESUME:
[2022-02-13 23:07:13,562] [ INFO] - Downloading https://paddle-hapi.bj.bcebos.com/models/bert/bert-base-uncased-vocab.txt and saved to /root/.paddlenlp/models/bert-base-uncased
02/13/2022 23:07:17 - INFO - Loading line idx from data/model_0060000/predictions.lineidx
02/13/2022 23:09:57 - INFO - Loading line idx from data/model_0060000/predictions.lineidx
02/13/2022 23:10:04 - INFO - Load pretrained weights: data/pretrained_model_paddle
02/13/2022 23:10:04 - INFO - Total parameters: 111.06 M.
02/13/2022 23:10:04 - INFO - ** ** ** Running training ** ** **
02/13/2022 23:10:04 - INFO - Num Iters: 4425
02/13/2022 23:10:04 - INFO - Batch Size: 128
02/13/2022 23:10:04 - INFO - Accum Steps: 1
02/13/2022 23:10:04 - INFO - Optim Steps: 132750
02/13/2022 23:10:04 - INFO - =====> Start epoch 1:
02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:10:05 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:11:11 - INFO - Epoch: [1], step: [100], lr: 0.000020, batch_loss: 0.0114, avg_loss: 0.0860
02/13/2022 23:12:17 - INFO - Epoch: [1], step: [200], lr: 0.000020, batch_loss: 0.0129, avg_loss: 0.0539
02/13/2022 23:13:22 - INFO - Epoch: [1], step: [300], lr: 0.000020, batch_loss: 0.0531, avg_loss: 0.0436
02/13/2022 23:14:28 - INFO - Epoch: [1], step: [400], lr: 0.000020, batch_loss: 0.0170, avg_loss: 0.0393
02/13/2022 23:15:34 - INFO - Epoch: [1], step: [500], lr: 0.000020, batch_loss: 0.0018, avg_loss: 0.0358
02/13/2022 23:16:40 - INFO - Epoch: [1], step: [600], lr: 0.000020, batch_loss: 0.0849, avg_loss: 0.0333
02/13/2022 23:17:46 - INFO - Epoch: [1], step: [700], lr: 0.000020, batch_loss: 0.0082, avg_loss: 0.0322
02/13/2022 23:18:53 - INFO - Epoch: [1], step: [800], lr: 0.000020, batch_loss: 0.0024, avg_loss: 0.0309
02/13/2022 23:19:59 - INFO - Epoch: [1], step: [900], lr: 0.000020, batch_loss: 0.0234, avg_loss: 0.0291
02/13/2022 23:21:05 - INFO - Epoch: [1], step: [1000], lr: 0.000020, batch_loss: 0.0138, avg_loss: 0.0287
02/13/2022 23:22:11 - INFO - Epoch: [1], step: [1100], lr: 0.000020, batch_loss: 0.0031, avg_loss: 0.0285
02/13/2022 23:23:17 - INFO - Epoch: [1], step: [1200], lr: 0.000020, batch_loss: 0.0014, avg_loss: 0.0278
02/13/2022 23:24:23 - INFO - Epoch: [1], step: [1300], lr: 0.000020, batch_loss: 0.0053, avg_loss: 0.0274
02/13/2022 23:25:29 - INFO - Epoch: [1], step: [1400], lr: 0.000020, batch_loss: 0.0064, avg_loss: 0.0268
02/13/2022 23:26:34 - INFO - Epoch: [1], step: [1500], lr: 0.000020, batch_loss: 0.0254, avg_loss: 0.0260
02/13/2022 23:27:40 - INFO - Epoch: [1], step: [1600], lr: 0.000020, batch_loss: 0.0188, avg_loss: 0.0256
02/13/2022 23:28:46 - INFO - Epoch: [1], step: [1700], lr: 0.000020, batch_loss: 0.0045, avg_loss: 0.0251
02/13/2022 23:29:52 - INFO - Epoch: [1], step: [1800], lr: 0.000020, batch_loss: 0.0098, avg_loss: 0.0248
02/13/2022 23:30:58 - INFO - Epoch: [1], step: [1900], lr: 0.000020, batch_loss: 0.0218, avg_loss: 0.0248
02/13/2022 23:32:04 - INFO - Epoch: [1], step: [2000], lr: 0.000020, batch_loss: 0.0010, avg_loss: 0.0245
02/13/2022 23:33:09 - INFO - Epoch: [1], step: [2100], lr: 0.000020, batch_loss: 0.0027, avg_loss: 0.0244
02/13/2022 23:34:15 - INFO - Epoch: [1], step: [2200], lr: 0.000020, batch_loss: 0.0039, avg_loss: 0.0243
02/13/2022 23:35:21 - INFO - Epoch: [1], step: [2300], lr: 0.000020, batch_loss: 0.0091, avg_loss: 0.0241
02/13/2022 23:36:27 - INFO - Epoch: [1], step: [2400], lr: 0.000020, batch_loss: 0.0034, avg_loss: 0.0241
02/13/2022 23:37:33 - INFO - Epoch: [1], step: [2500], lr: 0.000020, batch_loss: 0.1436, avg_loss: 0.0242
02/13/2022 23:38:39 - INFO - Epoch: [1], step: [2600], lr: 0.000020, batch_loss: 0.0476, avg_loss: 0.0242
02/13/2022 23:39:45 - INFO - Epoch: [1], step: [2700], lr: 0.000020, batch_loss: 0.0181, avg_loss: 0.0240
02/13/2022 23:40:51 - INFO - Epoch: [1], step: [2800], lr: 0.000020, batch_loss: 0.0113, avg_loss: 0.0241
02/13/2022 23:41:57 - INFO - Epoch: [1], step: [2900], lr: 0.000020, batch_loss: 0.0028, avg_loss: 0.0244
02/13/2022 23:43:02 - INFO - Epoch: [1], step: [3000], lr: 0.000020, batch_loss: 0.0679, avg_loss: 0.0244
02/13/2022 23:44:09 - INFO - Epoch: [1], step: [3100], lr: 0.000020, batch_loss: 0.0021, avg_loss: 0.0241
02/13/2022 23:45:15 - INFO - Epoch: [1], step: [3200], lr: 0.000020, batch_loss: 0.0194, avg_loss: 0.0241
02/13/2022 23:46:21 - INFO - Epoch: [1], step: [3300], lr: 0.000020, batch_loss: 0.0013, avg_loss: 0.0239
02/13/2022 23:47:27 - INFO - Epoch: [1], step: [3400], lr: 0.000019, batch_loss: 0.0506, avg_loss: 0.0239
02/13/2022 23:48:32 - INFO - Epoch: [1], step: [3500], lr: 0.000019, batch_loss: 0.0090, avg_loss: 0.0238
02/13/2022 23:49:38 - INFO - Epoch: [1], step: [3600], lr: 0.000019, batch_loss: 0.0145, avg_loss: 0.0238
02/13/2022 23:50:44 - INFO - Epoch: [1], step: [3700], lr: 0.000019, batch_loss: 0.0316, avg_loss: 0.0238
02/13/2022 23:51:50 - INFO - Epoch: [1], step: [3800], lr: 0.000019, batch_loss: 0.0083, avg_loss: 0.0237
02/13/2022 23:52:56 - INFO - Epoch: [1], step: [3900], lr: 0.000019, batch_loss: 0.0881, avg_loss: 0.0236
02/13/2022 23:54:02 - INFO - Epoch: [1], step: [4000], lr: 0.000019, batch_loss: 0.0097, avg_loss: 0.0237
02/13/2022 23:55:08 - INFO - Epoch: [1], step: [4100], lr: 0.000019, batch_loss: 0.0522, avg_loss: 0.0236
02/13/2022 23:56:14 - INFO - Epoch: [1], step: [4200], lr: 0.000019, batch_loss: 0.0175, avg_loss: 0.0236
02/13/2022 23:57:20 - INFO - Epoch: [1], step: [4300], lr: 0.000019, batch_loss: 0.0408, avg_loss: 0.0235
02/13/2022 23:58:26 - INFO - Epoch: [1], step: [4400], lr: 0.000019, batch_loss: 0.0044, avg_loss: 0.0235
02/13/2022 23:58:43 - INFO - ** ** Epoch [1] done! Training loss: 0.02341 ** **
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:58:43 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:59:38 - INFO - ** * ** Eval at Epoch [1]! Eval Reults: ** * **
02/13/2022 23:59:38 - INFO - I2T Retrieval: 0.8480 @ R1, 0.9840 @ R5, 0.9950 @ R10
02/13/2022 23:59:38 - INFO - =====> Start epoch 2:
02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/13/2022 23:59:39 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:00:47 - INFO - Epoch: [2], step: [100], lr: 0.000019, batch_loss: 0.0527, avg_loss: 0.0170
02/14/2022 00:01:53 - INFO - Epoch: [2], step: [200], lr: 0.000019, batch_loss: 0.0032, avg_loss: 0.0198
02/14/2022 00:02:59 - INFO - Epoch: [2], step: [300], lr: 0.000019, batch_loss: 0.0024, avg_loss: 0.0178
02/14/2022 00:04:05 - INFO - Epoch: [2], step: [400], lr: 0.000019, batch_loss: 0.0009, avg_loss: 0.0181
02/14/2022 00:05:11 - INFO - Epoch: [2], step: [500], lr: 0.000019, batch_loss: 0.0032, avg_loss: 0.0176
02/14/2022 00:06:16 - INFO - Epoch: [2], step: [600], lr: 0.000019, batch_loss: 0.0133, avg_loss: 0.0177
02/14/2022 00:07:22 - INFO - Epoch: [2], step: [700], lr: 0.000019, batch_loss: 0.0524, avg_loss: 0.0175
02/14/2022 00:08:28 - INFO - Epoch: [2], step: [800], lr: 0.000019, batch_loss: 0.0340, avg_loss: 0.0179
02/14/2022 00:09:34 - INFO - Epoch: [2], step: [900], lr: 0.000019, batch_loss: 0.0011, avg_loss: 0.0183
02/14/2022 00:10:40 - INFO - Epoch: [2], step: [1000], lr: 0.000019, batch_loss: 0.0161, avg_loss: 0.0180
02/14/2022 00:11:46 - INFO - Epoch: [2], step: [1100], lr: 0.000019, batch_loss: 0.0156, avg_loss: 0.0182
02/14/2022 00:12:52 - INFO - Epoch: [2], step: [1200], lr: 0.000019, batch_loss: 0.0012, avg_loss: 0.0179
02/14/2022 00:13:59 - INFO - Epoch: [2], step: [1300], lr: 0.000019, batch_loss: 0.0097, avg_loss: 0.0178
02/14/2022 00:15:05 - INFO - Epoch: [2], step: [1400], lr: 0.000019, batch_loss: 0.0039, avg_loss: 0.0173
02/14/2022 00:16:11 - INFO - Epoch: [2], step: [1500], lr: 0.000019, batch_loss: 0.0206, avg_loss: 0.0173
02/14/2022 00:17:17 - INFO - Epoch: [2], step: [1600], lr: 0.000019, batch_loss: 0.0009, avg_loss: 0.0175
02/14/2022 00:18:23 - INFO - Epoch: [2], step: [1700], lr: 0.000019, batch_loss: 0.0016, avg_loss: 0.0172
02/14/2022 00:19:29 - INFO - Epoch: [2], step: [1800], lr: 0.000019, batch_loss: 0.0035, avg_loss: 0.0172
02/14/2022 00:20:35 - INFO - Epoch: [2], step: [1900], lr: 0.000019, batch_loss: 0.0017, avg_loss: 0.0172
02/14/2022 00:21:41 - INFO - Epoch: [2], step: [2000], lr: 0.000019, batch_loss: 0.0223, avg_loss: 0.0174
02/14/2022 00:22:47 - INFO - Epoch: [2], step: [2100], lr: 0.000019, batch_loss: 0.0036, avg_loss: 0.0177
02/14/2022 00:23:54 - INFO - Epoch: [2], step: [2200], lr: 0.000019, batch_loss: 0.0208, avg_loss: 0.0178
02/14/2022 00:24:59 - INFO - Epoch: [2], step: [2300], lr: 0.000019, batch_loss: 0.0085, avg_loss: 0.0177
02/14/2022 00:26:05 - INFO - Epoch: [2], step: [2400], lr: 0.000019, batch_loss: 0.0232, avg_loss: 0.0178
02/14/2022 00:27:11 - INFO - Epoch: [2], step: [2500], lr: 0.000019, batch_loss: 0.0059, avg_loss: 0.0178
02/14/2022 00:28:17 - INFO - Epoch: [2], step: [2600], lr: 0.000019, batch_loss: 0.0113, avg_loss: 0.0178
02/14/2022 00:29:23 - INFO - Epoch: [2], step: [2700], lr: 0.000019, batch_loss: 0.0023, avg_loss: 0.0180
02/14/2022 00:30:29 - INFO - Epoch: [2], step: [2800], lr: 0.000019, batch_loss: 0.1469, avg_loss: 0.0178
02/14/2022 00:31:35 - INFO - Epoch: [2], step: [2900], lr: 0.000019, batch_loss: 0.0025, avg_loss: 0.0176
02/14/2022 00:32:41 - INFO - Epoch: [2], step: [3000], lr: 0.000019, batch_loss: 0.0047, avg_loss: 0.0175
02/14/2022 00:33:47 - INFO - Epoch: [2], step: [3100], lr: 0.000019, batch_loss: 0.0017, avg_loss: 0.0177
02/14/2022 00:34:53 - INFO - Epoch: [2], step: [3200], lr: 0.000019, batch_loss: 0.0044, avg_loss: 0.0177
02/14/2022 00:35:59 - INFO - Epoch: [2], step: [3300], lr: 0.000019, batch_loss: 0.0026, avg_loss: 0.0178
02/14/2022 00:37:05 - INFO - Epoch: [2], step: [3400], lr: 0.000019, batch_loss: 0.0042, avg_loss: 0.0177
02/14/2022 00:38:11 - INFO - Epoch: [2], step: [3500], lr: 0.000019, batch_loss: 0.0025, avg_loss: 0.0178
02/14/2022 00:39:17 - INFO - Epoch: [2], step: [3600], lr: 0.000019, batch_loss: 0.0550, avg_loss: 0.0179
02/14/2022 00:40:23 - INFO - Epoch: [2], step: [3700], lr: 0.000019, batch_loss: 0.0839, avg_loss: 0.0179
02/14/2022 00:41:29 - INFO - Epoch: [2], step: [3800], lr: 0.000019, batch_loss: 0.0021, avg_loss: 0.0179
02/14/2022 00:42:35 - INFO - Epoch: [2], step: [3900], lr: 0.000019, batch_loss: 0.0075, avg_loss: 0.0179
02/14/2022 00:43:41 - INFO - Epoch: [2], step: [4000], lr: 0.000019, batch_loss: 0.0013, avg_loss: 0.0178
02/14/2022 00:44:48 - INFO - Epoch: [2], step: [4100], lr: 0.000019, batch_loss: 0.0139, avg_loss: 0.0178
02/14/2022 00:45:54 - INFO - Epoch: [2], step: [4200], lr: 0.000019, batch_loss: 0.0007, avg_loss: 0.0178
02/14/2022 00:47:00 - INFO - Epoch: [2], step: [4300], lr: 0.000019, batch_loss: 0.0066, avg_loss: 0.0177
02/14/2022 00:48:06 - INFO - Epoch: [2], step: [4400], lr: 0.000019, batch_loss: 0.0016, avg_loss: 0.0177
02/14/2022 00:48:23 - INFO - ** ** Epoch [2] done! Training loss: 0.01767 ** **
02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 00:48:23 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:49:18 - INFO - ** * ** Eval at Epoch [2]! Eval Reults: ** * **
02/14/2022 00:49:18 - INFO - I2T Retrieval: 0.8600 @ R1, 0.9810 @ R5, 0.9950 @ R10
02/14/2022 00:49:18 - INFO - =====> Start epoch 3:
02/14/2022 00:49:19 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:49:19 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:49:20 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 00:49:20 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 00:49:20 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 00:49:20 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:49:20 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 00:49:20 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 00:50:28 - INFO - Epoch: [3], step: [100], lr: 0.000019, batch_loss: 0.0212, avg_loss: 0.0110
02/14/2022 00:51:34 - INFO - Epoch: [3], step: [200], lr: 0.000019, batch_loss: 0.0024, avg_loss: 0.0123
02/14/2022 00:52:40 - INFO - Epoch: [3], step: [300], lr: 0.000019, batch_loss: 0.0015, avg_loss: 0.0148
02/14/2022 00:53:46 - INFO - Epoch: [3], step: [400], lr: 0.000019, batch_loss: 0.0017, avg_loss: 0.0176
02/14/2022 00:54:52 - INFO - Epoch: [3], step: [500], lr: 0.000019, batch_loss: 0.0028, avg_loss: 0.0176
02/14/2022 00:55:58 - INFO - Epoch: [3], step: [600], lr: 0.000019, batch_loss: 0.0026, avg_loss: 0.0181
02/14/2022 00:57:04 - INFO - Epoch: [3], step: [700], lr: 0.000019, batch_loss: 0.0014, avg_loss: 0.0181
02/14/2022 00:58:10 - INFO - Epoch: [3], step: [800], lr: 0.000019, batch_loss: 0.0042, avg_loss: 0.0181
02/14/2022 00:59:16 - INFO - Epoch: [3], step: [900], lr: 0.000019, batch_loss: 0.0018, avg_loss: 0.0187
02/14/2022 01:00:22 - INFO - Epoch: [3], step: [1000], lr: 0.000019, batch_loss: 0.0014, avg_loss: 0.0185
02/14/2022 01:01:28 - INFO - Epoch: [3], step: [1100], lr: 0.000019, batch_loss: 0.0027, avg_loss: 0.0183
02/14/2022 01:02:34 - INFO - Epoch: [3], step: [1200], lr: 0.000018, batch_loss: 0.0015, avg_loss: 0.0178
02/14/2022 01:03:39 - INFO - Epoch: [3], step: [1300], lr: 0.000018, batch_loss: 0.0075, avg_loss: 0.0180
02/14/2022 01:04:45 - INFO - Epoch: [3], step: [1400], lr: 0.000018, batch_loss: 0.0013, avg_loss: 0.0177
02/14/2022 01:05:51 - INFO - Epoch: [3], step: [1500], lr: 0.000018, batch_loss: 0.0072, avg_loss: 0.0173
02/14/2022 01:06:57 - INFO - Epoch: [3], step: [1600], lr: 0.000018, batch_loss: 0.0021, avg_loss: 0.0176
02/14/2022 01:08:03 - INFO - Epoch: [3], step: [1700], lr: 0.000018, batch_loss: 0.0019, avg_loss: 0.0176
02/14/2022 01:09:09 - INFO - Epoch: [3], step: [1800], lr: 0.000018, batch_loss: 0.0701, avg_loss: 0.0173
02/14/2022 01:10:15 - INFO - Epoch: [3], step: [1900], lr: 0.000018, batch_loss: 0.0041, avg_loss: 0.0172
02/14/2022 01:11:21 - INFO - Epoch: [3], step: [2000], lr: 0.000018, batch_loss: 0.0022, avg_loss: 0.0171
02/14/2022 01:12:27 - INFO - Epoch: [3], step: [2100], lr: 0.000018, batch_loss: 0.0014, avg_loss: 0.0171
02/14/2022 01:13:33 - INFO - Epoch: [3], step: [2200], lr: 0.000018, batch_loss: 0.0048, avg_loss: 0.0172
02/14/2022 01:14:39 - INFO - Epoch: [3], step: [2300], lr: 0.000018, batch_loss: 0.0041, avg_loss: 0.0170
02/14/2022 01:15:45 - INFO - Epoch: [3], step: [2400], lr: 0.000018, batch_loss: 0.0051, avg_loss: 0.0169
02/14/2022 01:16:50 - INFO - Epoch: [3], step: [2500], lr: 0.000018, batch_loss: 0.0007, avg_loss: 0.0173
02/14/2022 01:17:56 - INFO - Epoch: [3], step: [2600], lr: 0.000018, batch_loss: 0.0051, avg_loss: 0.0172
02/14/2022 01:19:02 - INFO - Epoch: [3], step: [2700], lr: 0.000018, batch_loss: 0.0025, avg_loss: 0.0172
02/14/2022 01:20:08 - INFO - Epoch: [3], step: [2800], lr: 0.000018, batch_loss: 0.0248, avg_loss: 0.0171
02/14/2022 01:21:14 - INFO - Epoch: [3], step: [2900], lr: 0.000018, batch_loss: 0.0018, avg_loss: 0.0169
02/14/2022 01:22:20 - INFO - Epoch: [3], step: [3000], lr: 0.000018, batch_loss: 0.0022, avg_loss: 0.0169
02/14/2022 01:23:26 - INFO - Epoch: [3], step: [3100], lr: 0.000018, batch_loss: 0.0012, avg_loss: 0.0168
02/14/2022 01:24:32 - INFO - Epoch: [3], step: [3200], lr: 0.000018, batch_loss: 0.0132, avg_loss: 0.0167
02/14/2022 01:25:38 - INFO - Epoch: [3], step: [3300], lr: 0.000018, batch_loss: 0.0057, avg_loss: 0.0166
02/14/2022 01:26:43 - INFO - Epoch: [3], step: [3400], lr: 0.000018, batch_loss: 0.0025, avg_loss: 0.0166
02/14/2022 01:27:49 - INFO - Epoch: [3], step: [3500], lr: 0.000018, batch_loss: 0.0019, avg_loss: 0.0166
02/14/2022 01:28:55 - INFO - Epoch: [3], step: [3600], lr: 0.000018, batch_loss: 0.0040, avg_loss: 0.0167
02/14/2022 01:30:01 - INFO - Epoch: [3], step: [3700], lr: 0.000018, batch_loss: 0.0183, avg_loss: 0.0167
02/14/2022 01:31:07 - INFO - Epoch: [3], step: [3800], lr: 0.000018, batch_loss: 0.0049, avg_loss: 0.0167
02/14/2022 01:32:13 - INFO - Epoch: [3], step: [3900], lr: 0.000018, batch_loss: 0.0047, avg_loss: 0.0167
02/14/2022 01:33:19 - INFO - Epoch: [3], step: [4000], lr: 0.000018, batch_loss: 0.0278, avg_loss: 0.0167
02/14/2022 01:34:25 - INFO - Epoch: [3], step: [4100], lr: 0.000018, batch_loss: 0.0316, avg_loss: 0.0167
02/14/2022 01:35:31 - INFO - Epoch: [3], step: [4200], lr: 0.000018, batch_loss: 0.0023, avg_loss: 0.0167
02/14/2022 01:36:37 - INFO - Epoch: [3], step: [4300], lr: 0.000018, batch_loss: 0.0429, avg_loss: 0.0168
02/14/2022 01:37:43 - INFO - Epoch: [3], step: [4400], lr: 0.000018, batch_loss: 0.0020, avg_loss: 0.0168
02/14/2022 01:37:59 - INFO - ** ** Epoch [3] done! Training loss: 0.01682 ** **
02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:55 - INFO - ** * ** Eval at Epoch [3]! Eval Reults: ** * **
02/14/2022 01:38:55 - INFO - I2T Retrieval: 0.8630 @ R1, 0.9790 @ R5, 0.9940 @ R10
02/14/2022 01:38:55 - INFO - =====> Start epoch 4:
02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 01:38:56 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 01:40:03 - INFO - Epoch: [4], step: [100], lr: 0.000018, batch_loss: 0.0542, avg_loss: 0.0148
02/14/2022 01:41:10 - INFO - Epoch: [4], step: [200], lr: 0.000018, batch_loss: 0.0009, avg_loss: 0.0126
02/14/2022 01:42:16 - INFO - Epoch: [4], step: [300], lr: 0.000018, batch_loss: 0.0013, avg_loss: 0.0133
02/14/2022 01:43:22 - INFO - Epoch: [4], step: [400], lr: 0.000018, batch_loss: 0.0095, avg_loss: 0.0150
02/14/2022 01:44:29 - INFO - Epoch: [4], step: [500], lr: 0.000018, batch_loss: 0.0105, avg_loss: 0.0150
02/14/2022 01:45:35 - INFO - Epoch: [4], step: [600], lr: 0.000018, batch_loss: 0.0034, avg_loss: 0.0149
02/14/2022 01:46:40 - INFO - Epoch: [4], step: [700], lr: 0.000018, batch_loss: 0.0019, avg_loss: 0.0143
02/14/2022 01:47:46 - INFO - Epoch: [4], step: [800], lr: 0.000018, batch_loss: 0.0013, avg_loss: 0.0148
02/14/2022 01:48:53 - INFO - Epoch: [4], step: [900], lr: 0.000018, batch_loss: 0.0013, avg_loss: 0.0152
02/14/2022 01:49:58 - INFO - Epoch: [4], step: [1000], lr: 0.000018, batch_loss: 0.0006, avg_loss: 0.0153
02/14/2022 01:51:04 - INFO - Epoch: [4], step: [1100], lr: 0.000018, batch_loss: 0.0022, avg_loss: 0.0152
02/14/2022 01:52:10 - INFO - Epoch: [4], step: [1200], lr: 0.000018, batch_loss: 0.0097, avg_loss: 0.0152
02/14/2022 01:53:16 - INFO - Epoch: [4], step: [1300], lr: 0.000018, batch_loss: 0.0035, avg_loss: 0.0153
02/14/2022 01:54:21 - INFO - Epoch: [4], step: [1400], lr: 0.000018, batch_loss: 0.0009, avg_loss: 0.0157
02/14/2022 01:55:27 - INFO - Epoch: [4], step: [1500], lr: 0.000018, batch_loss: 0.0035, avg_loss: 0.0159
02/14/2022 01:56:33 - INFO - Epoch: [4], step: [1600], lr: 0.000018, batch_loss: 0.0629, avg_loss: 0.0158
02/14/2022 01:57:38 - INFO - Epoch: [4], step: [1700], lr: 0.000018, batch_loss: 0.0014, avg_loss: 0.0157
02/14/2022 01:58:44 - INFO - Epoch: [4], step: [1800], lr: 0.000018, batch_loss: 0.0017, avg_loss: 0.0157
02/14/2022 01:59:50 - INFO - Epoch: [4], step: [1900], lr: 0.000018, batch_loss: 0.0022, avg_loss: 0.0155
02/14/2022 02:00:55 - INFO - Epoch: [4], step: [2000], lr: 0.000018, batch_loss: 0.0392, avg_loss: 0.0157
02/14/2022 02:02:01 - INFO - Epoch: [4], step: [2100], lr: 0.000018, batch_loss: 0.0028, avg_loss: 0.0157
02/14/2022 02:03:07 - INFO - Epoch: [4], step: [2200], lr: 0.000018, batch_loss: 0.0020, avg_loss: 0.0159
02/14/2022 02:04:13 - INFO - Epoch: [4], step: [2300], lr: 0.000018, batch_loss: 0.0058, avg_loss: 0.0158
02/14/2022 02:05:18 - INFO - Epoch: [4], step: [2400], lr: 0.000018, batch_loss: 0.0160, avg_loss: 0.0158
02/14/2022 02:06:24 - INFO - Epoch: [4], step: [2500], lr: 0.000018, batch_loss: 0.0095, avg_loss: 0.0159
02/14/2022 02:07:30 - INFO - Epoch: [4], step: [2600], lr: 0.000018, batch_loss: 0.0147, avg_loss: 0.0158
02/14/2022 02:08:35 - INFO - Epoch: [4], step: [2700], lr: 0.000018, batch_loss: 0.0964, avg_loss: 0.0158
02/14/2022 02:09:41 - INFO - Epoch: [4], step: [2800], lr: 0.000018, batch_loss: 0.0028, avg_loss: 0.0158
02/14/2022 02:10:46 - INFO - Epoch: [4], step: [2900], lr: 0.000018, batch_loss: 0.0022, avg_loss: 0.0159
02/14/2022 02:11:52 - INFO - Epoch: [4], step: [3000], lr: 0.000018, batch_loss: 0.0025, avg_loss: 0.0159
02/14/2022 02:12:58 - INFO - Epoch: [4], step: [3100], lr: 0.000018, batch_loss: 0.0024, avg_loss: 0.0158
02/14/2022 02:14:03 - INFO - Epoch: [4], step: [3200], lr: 0.000018, batch_loss: 0.0025, avg_loss: 0.0158
02/14/2022 02:15:09 - INFO - Epoch: [4], step: [3300], lr: 0.000018, batch_loss: 0.0010, avg_loss: 0.0158
02/14/2022 02:16:15 - INFO - Epoch: [4], step: [3400], lr: 0.000017, batch_loss: 0.0671, avg_loss: 0.0159
02/14/2022 02:17:20 - INFO - Epoch: [4], step: [3500], lr: 0.000017, batch_loss: 0.0218, avg_loss: 0.0158
02/14/2022 02:18:26 - INFO - Epoch: [4], step: [3600], lr: 0.000017, batch_loss: 0.0010, avg_loss: 0.0158
02/14/2022 02:19:32 - INFO - Epoch: [4], step: [3700], lr: 0.000017, batch_loss: 0.0064, avg_loss: 0.0158
02/14/2022 02:20:38 - INFO - Epoch: [4], step: [3800], lr: 0.000017, batch_loss: 0.0005, avg_loss: 0.0158
02/14/2022 02:21:43 - INFO - Epoch: [4], step: [3900], lr: 0.000017, batch_loss: 0.0012, avg_loss: 0.0158
02/14/2022 02:22:49 - INFO - Epoch: [4], step: [4000], lr: 0.000017, batch_loss: 0.0017, avg_loss: 0.0157
02/14/2022 02:23:55 - INFO - Epoch: [4], step: [4100], lr: 0.000017, batch_loss: 0.0538, avg_loss: 0.0158
02/14/2022 02:25:00 - INFO - Epoch: [4], step: [4200], lr: 0.000017, batch_loss: 0.0020, avg_loss: 0.0158
02/14/2022 02:26:06 - INFO - Epoch: [4], step: [4300], lr: 0.000017, batch_loss: 0.0024, avg_loss: 0.0157
02/14/2022 02:27:12 - INFO - Epoch: [4], step: [4400], lr: 0.000017, batch_loss: 0.0049, avg_loss: 0.0157
02/14/2022 02:27:28 - INFO - ** ** Epoch [4] done! Training loss: 0.01574 ** **
02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:27:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:28:24 - INFO - ** * ** Eval at Epoch [4]! Eval Reults: ** * **
02/14/2022 02:28:24 - INFO - I2T Retrieval: 0.8720 @ R1, 0.9820 @ R5, 0.9950 @ R10
02/14/2022 02:28:24 - INFO - =====> Start epoch 5:
02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:28:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 02:29:33 - INFO - Epoch: [5], step: [100], lr: 0.000017, batch_loss: 0.0049, avg_loss: 0.0126
02/14/2022 02:30:39 - INFO - Epoch: [5], step: [200], lr: 0.000017, batch_loss: 0.0060, avg_loss: 0.0116
02/14/2022 02:31:45 - INFO - Epoch: [5], step: [300], lr: 0.000017, batch_loss: 0.0287, avg_loss: 0.0117
02/14/2022 02:32:51 - INFO - Epoch: [5], step: [400], lr: 0.000017, batch_loss: 0.0497, avg_loss: 0.0117
02/14/2022 02:33:57 - INFO - Epoch: [5], step: [500], lr: 0.000017, batch_loss: 0.0104, avg_loss: 0.0113
02/14/2022 02:35:03 - INFO - Epoch: [5], step: [600], lr: 0.000017, batch_loss: 0.0053, avg_loss: 0.0126
02/14/2022 02:36:09 - INFO - Epoch: [5], step: [700], lr: 0.000017, batch_loss: 0.0011, avg_loss: 0.0124
02/14/2022 02:37:15 - INFO - Epoch: [5], step: [800], lr: 0.000017, batch_loss: 0.0010, avg_loss: 0.0126
02/14/2022 02:38:22 - INFO - Epoch: [5], step: [900], lr: 0.000017, batch_loss: 0.0088, avg_loss: 0.0127
02/14/2022 02:39:28 - INFO - Epoch: [5], step: [1000], lr: 0.000017, batch_loss: 0.0047, avg_loss: 0.0130
02/14/2022 02:40:34 - INFO - Epoch: [5], step: [1100], lr: 0.000017, batch_loss: 0.1417, avg_loss: 0.0130
02/14/2022 02:41:40 - INFO - Epoch: [5], step: [1200], lr: 0.000017, batch_loss: 0.0065, avg_loss: 0.0132
02/14/2022 02:42:46 - INFO - Epoch: [5], step: [1300], lr: 0.000017, batch_loss: 0.0037, avg_loss: 0.0129
02/14/2022 02:43:52 - INFO - Epoch: [5], step: [1400], lr: 0.000017, batch_loss: 0.0021, avg_loss: 0.0134
02/14/2022 02:44:58 - INFO - Epoch: [5], step: [1500], lr: 0.000017, batch_loss: 0.0330, avg_loss: 0.0132
02/14/2022 02:46:04 - INFO - Epoch: [5], step: [1600], lr: 0.000017, batch_loss: 0.0708, avg_loss: 0.0135
02/14/2022 02:47:10 - INFO - Epoch: [5], step: [1700], lr: 0.000017, batch_loss: 0.0028, avg_loss: 0.0136
02/14/2022 02:48:16 - INFO - Epoch: [5], step: [1800], lr: 0.000017, batch_loss: 0.0021, avg_loss: 0.0138
02/14/2022 02:49:21 - INFO - Epoch: [5], step: [1900], lr: 0.000017, batch_loss: 0.0595, avg_loss: 0.0137
02/14/2022 02:50:27 - INFO - Epoch: [5], step: [2000], lr: 0.000017, batch_loss: 0.0011, avg_loss: 0.0136
02/14/2022 02:51:33 - INFO - Epoch: [5], step: [2100], lr: 0.000017, batch_loss: 0.0023, avg_loss: 0.0135
02/14/2022 02:52:40 - INFO - Epoch: [5], step: [2200], lr: 0.000017, batch_loss: 0.0014, avg_loss: 0.0134
02/14/2022 02:53:45 - INFO - Epoch: [5], step: [2300], lr: 0.000017, batch_loss: 0.0010, avg_loss: 0.0136
02/14/2022 02:54:51 - INFO - Epoch: [5], step: [2400], lr: 0.000017, batch_loss: 0.0007, avg_loss: 0.0136
02/14/2022 02:55:57 - INFO - Epoch: [5], step: [2500], lr: 0.000017, batch_loss: 0.0376, avg_loss: 0.0138
02/14/2022 02:57:03 - INFO - Epoch: [5], step: [2600], lr: 0.000017, batch_loss: 0.0022, avg_loss: 0.0138
02/14/2022 02:58:09 - INFO - Epoch: [5], step: [2700], lr: 0.000017, batch_loss: 0.0014, avg_loss: 0.0139
02/14/2022 02:59:14 - INFO - Epoch: [5], step: [2800], lr: 0.000017, batch_loss: 0.0127, avg_loss: 0.0138
02/14/2022 03:00:20 - INFO - Epoch: [5], step: [2900], lr: 0.000017, batch_loss: 0.0483, avg_loss: 0.0140
02/14/2022 03:01:26 - INFO - Epoch: [5], step: [3000], lr: 0.000017, batch_loss: 0.0061, avg_loss: 0.0139
02/14/2022 03:02:32 - INFO - Epoch: [5], step: [3100], lr: 0.000017, batch_loss: 0.0060, avg_loss: 0.0139
02/14/2022 03:03:38 - INFO - Epoch: [5], step: [3200], lr: 0.000017, batch_loss: 0.0009, avg_loss: 0.0139
02/14/2022 03:04:43 - INFO - Epoch: [5], step: [3300], lr: 0.000017, batch_loss: 0.0015, avg_loss: 0.0138
02/14/2022 03:05:49 - INFO - Epoch: [5], step: [3400], lr: 0.000017, batch_loss: 0.0358, avg_loss: 0.0139
02/14/2022 03:06:55 - INFO - Epoch: [5], step: [3500], lr: 0.000017, batch_loss: 0.0331, avg_loss: 0.0138
02/14/2022 03:08:01 - INFO - Epoch: [5], step: [3600], lr: 0.000017, batch_loss: 0.0016, avg_loss: 0.0138
02/14/2022 03:09:07 - INFO - Epoch: [5], step: [3700], lr: 0.000017, batch_loss: 0.0996, avg_loss: 0.0137
02/14/2022 03:10:13 - INFO - Epoch: [5], step: [3800], lr: 0.000017, batch_loss: 0.0028, avg_loss: 0.0138
02/14/2022 03:11:19 - INFO - Epoch: [5], step: [3900], lr: 0.000017, batch_loss: 0.0049, avg_loss: 0.0139
02/14/2022 03:12:25 - INFO - Epoch: [5], step: [4000], lr: 0.000017, batch_loss: 0.0025, avg_loss: 0.0140
02/14/2022 03:13:31 - INFO - Epoch: [5], step: [4100], lr: 0.000017, batch_loss: 0.0758, avg_loss: 0.0141
02/14/2022 03:14:37 - INFO - Epoch: [5], step: [4200], lr: 0.000017, batch_loss: 0.0035, avg_loss: 0.0140
02/14/2022 03:15:43 - INFO - Epoch: [5], step: [4300], lr: 0.000017, batch_loss: 0.0010, avg_loss: 0.0140
02/14/2022 03:16:49 - INFO - Epoch: [5], step: [4400], lr: 0.000017, batch_loss: 0.0029, avg_loss: 0.0139
02/14/2022 03:17:06 - INFO - ** ** Epoch [5] done! Training loss: 0.01395 ** **
02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:17:07 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:18:01 - INFO - ** * ** Eval at Epoch [5]! Eval Reults: ** * **
02/14/2022 03:18:01 - INFO - I2T Retrieval: 0.8750 @ R1, 0.9850 @ R5, 0.9960 @ R10
02/14/2022 03:18:01 - INFO - =====> Start epoch 6:
02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 03:18:02 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 03:19:11 - INFO - Epoch: [6], step: [100], lr: 0.000017, batch_loss: 0.0019, avg_loss: 0.0110
02/14/2022 03:20:18 - INFO - Epoch: [6], step: [200], lr: 0.000017, batch_loss: 0.0396, avg_loss: 0.0120
02/14/2022 03:21:24 - INFO - Epoch: [6], step: [300], lr: 0.000017, batch_loss: 0.0274, avg_loss: 0.0134
02/14/2022 03:22:31 - INFO - Epoch: [6], step: [400], lr: 0.000017, batch_loss: 0.0086, avg_loss: 0.0143
02/14/2022 03:23:36 - INFO - Epoch: [6], step: [500], lr: 0.000017, batch_loss: 0.0019, avg_loss: 0.0143
02/14/2022 03:24:43 - INFO - Epoch: [6], step: [600], lr: 0.000017, batch_loss: 0.0055, avg_loss: 0.0146
02/14/2022 03:25:49 - INFO - Epoch: [6], step: [700], lr: 0.000017, batch_loss: 0.0045, avg_loss: 0.0153
02/14/2022 03:26:55 - INFO - Epoch: [6], step: [800], lr: 0.000017, batch_loss: 0.0109, avg_loss: 0.0153
02/14/2022 03:28:01 - INFO - Epoch: [6], step: [900], lr: 0.000017, batch_loss: 0.0010, avg_loss: 0.0153
02/14/2022 03:29:07 - INFO - Epoch: [6], step: [1000], lr: 0.000017, batch_loss: 0.0037, avg_loss: 0.0157
02/14/2022 03:30:13 - INFO - Epoch: [6], step: [1100], lr: 0.000017, batch_loss: 0.0018, avg_loss: 0.0153
02/14/2022 03:31:19 - INFO - Epoch: [6], step: [1200], lr: 0.000016, batch_loss: 0.0032, avg_loss: 0.0147
02/14/2022 03:32:25 - INFO - Epoch: [6], step: [1300], lr: 0.000016, batch_loss: 0.0050, avg_loss: 0.0146
02/14/2022 03:33:31 - INFO - Epoch: [6], step: [1400], lr: 0.000016, batch_loss: 0.0006, avg_loss: 0.0145
02/14/2022 03:34:38 - INFO - Epoch: [6], step: [1500], lr: 0.000016, batch_loss: 0.0046, avg_loss: 0.0145
02/14/2022 03:35:44 - INFO - Epoch: [6], step: [1600], lr: 0.000016, batch_loss: 0.0027, avg_loss: 0.0146
02/14/2022 03:36:50 - INFO - Epoch: [6], step: [1700], lr: 0.000016, batch_loss: 0.0035, avg_loss: 0.0144
02/14/2022 03:37:56 - INFO - Epoch: [6], step: [1800], lr: 0.000016, batch_loss: 0.1210, avg_loss: 0.0146
02/14/2022 03:39:02 - INFO - Epoch: [6], step: [1900], lr: 0.000016, batch_loss: 0.0029, avg_loss: 0.0147
02/14/2022 03:40:08 - INFO - Epoch: [6], step: [2000], lr: 0.000016, batch_loss: 0.0018, avg_loss: 0.0145
02/14/2022 03:41:14 - INFO - Epoch: [6], step: [2100], lr: 0.000016, batch_loss: 0.0176, avg_loss: 0.0146
02/14/2022 03:42:21 - INFO - Epoch: [6], step: [2200], lr: 0.000016, batch_loss: 0.0051, avg_loss: 0.0146
02/14/2022 03:43:27 - INFO - Epoch: [6], step: [2300], lr: 0.000016, batch_loss: 0.0738, avg_loss: 0.0146
02/14/2022 03:44:33 - INFO - Epoch: [6], step: [2400], lr: 0.000016, batch_loss: 0.0011, avg_loss: 0.0144
02/14/2022 03:45:39 - INFO - Epoch: [6], step: [2500], lr: 0.000016, batch_loss: 0.0219, avg_loss: 0.0144
02/14/2022 03:46:45 - INFO - Epoch: [6], step: [2600], lr: 0.000016, batch_loss: 0.0360, avg_loss: 0.0146
02/14/2022 03:47:51 - INFO - Epoch: [6], step: [2700], lr: 0.000016, batch_loss: 0.0010, avg_loss: 0.0145
02/14/2022 03:48:57 - INFO - Epoch: [6], step: [2800], lr: 0.000016, batch_loss: 0.0020, avg_loss: 0.0145
02/14/2022 03:50:03 - INFO - Epoch: [6], step: [2900], lr: 0.000016, batch_loss: 0.0017, avg_loss: 0.0145
02/14/2022 03:51:10 - INFO - Epoch: [6], step: [3000], lr: 0.000016, batch_loss: 0.0052, avg_loss: 0.0146
02/14/2022 03:52:16 - INFO - Epoch: [6], step: [3100], lr: 0.000016, batch_loss: 0.0304, avg_loss: 0.0148
02/14/2022 03:53:22 - INFO - Epoch: [6], step: [3200], lr: 0.000016, batch_loss: 0.0022, avg_loss: 0.0148
02/14/2022 03:54:29 - INFO - Epoch: [6], step: [3300], lr: 0.000016, batch_loss: 0.0019, avg_loss: 0.0147
02/14/2022 03:55:35 - INFO - Epoch: [6], step: [3400], lr: 0.000016, batch_loss: 0.0023, avg_loss: 0.0148
02/14/2022 03:56:41 - INFO - Epoch: [6], step: [3500], lr: 0.000016, batch_loss: 0.0961, avg_loss: 0.0148
02/14/2022 03:57:47 - INFO - Epoch: [6], step: [3600], lr: 0.000016, batch_loss: 0.0094, avg_loss: 0.0148
02/14/2022 03:58:53 - INFO - Epoch: [6], step: [3700], lr: 0.000016, batch_loss: 0.0013, avg_loss: 0.0148
02/14/2022 04:00:00 - INFO - Epoch: [6], step: [3800], lr: 0.000016, batch_loss: 0.1005, avg_loss: 0.0148
02/14/2022 04:01:06 - INFO - Epoch: [6], step: [3900], lr: 0.000016, batch_loss: 0.0023, avg_loss: 0.0149
02/14/2022 04:02:11 - INFO - Epoch: [6], step: [4000], lr: 0.000016, batch_loss: 0.0051, avg_loss: 0.0149
02/14/2022 04:03:18 - INFO - Epoch: [6], step: [4100], lr: 0.000016, batch_loss: 0.0024, avg_loss: 0.0150
02/14/2022 04:04:24 - INFO - Epoch: [6], step: [4200], lr: 0.000016, batch_loss: 0.0920, avg_loss: 0.0149
02/14/2022 04:05:30 - INFO - Epoch: [6], step: [4300], lr: 0.000016, batch_loss: 0.0093, avg_loss: 0.0149
02/14/2022 04:06:36 - INFO - Epoch: [6], step: [4400], lr: 0.000016, batch_loss: 0.0093, avg_loss: 0.0149
02/14/2022 04:06:53 - INFO - ** ** Epoch [6] done! Training loss: 0.01488 ** **
02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:06:53 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:07:48 - INFO - ** * ** Eval at Epoch [6]! Eval Reults: ** * **
02/14/2022 04:07:48 - INFO - I2T Retrieval: 0.8770 @ R1, 0.9810 @ R5, 0.9950 @ R10
02/14/2022 04:07:48 - INFO - =====> Start epoch 7:
02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:07:49 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:08:57 - INFO - Epoch: [7], step: [100], lr: 0.000016, batch_loss: 0.0022, avg_loss: 0.0102
02/14/2022 04:10:04 - INFO - Epoch: [7], step: [200], lr: 0.000016, batch_loss: 0.0013, avg_loss: 0.0117
02/14/2022 04:11:11 - INFO - Epoch: [7], step: [300], lr: 0.000016, batch_loss: 0.0059, avg_loss: 0.0122
02/14/2022 04:12:17 - INFO - Epoch: [7], step: [400], lr: 0.000016, batch_loss: 0.0062, avg_loss: 0.0126
02/14/2022 04:13:24 - INFO - Epoch: [7], step: [500], lr: 0.000016, batch_loss: 0.0107, avg_loss: 0.0133
02/14/2022 04:14:30 - INFO - Epoch: [7], step: [600], lr: 0.000016, batch_loss: 0.0639, avg_loss: 0.0130
02/14/2022 04:15:37 - INFO - Epoch: [7], step: [700], lr: 0.000016, batch_loss: 0.0283, avg_loss: 0.0129
02/14/2022 04:16:44 - INFO - Epoch: [7], step: [800], lr: 0.000016, batch_loss: 0.0013, avg_loss: 0.0129
02/14/2022 04:17:50 - INFO - Epoch: [7], step: [900], lr: 0.000016, batch_loss: 0.0008, avg_loss: 0.0128
02/14/2022 04:18:57 - INFO - Epoch: [7], step: [1000], lr: 0.000016, batch_loss: 0.0166, avg_loss: 0.0127
02/14/2022 04:20:03 - INFO - Epoch: [7], step: [1100], lr: 0.000016, batch_loss: 0.0004, avg_loss: 0.0128
02/14/2022 04:21:09 - INFO - Epoch: [7], step: [1200], lr: 0.000016, batch_loss: 0.0009, avg_loss: 0.0131
02/14/2022 04:22:16 - INFO - Epoch: [7], step: [1300], lr: 0.000016, batch_loss: 0.0074, avg_loss: 0.0132
02/14/2022 04:23:22 - INFO - Epoch: [7], step: [1400], lr: 0.000016, batch_loss: 0.0036, avg_loss: 0.0130
02/14/2022 04:24:28 - INFO - Epoch: [7], step: [1500], lr: 0.000016, batch_loss: 0.0038, avg_loss: 0.0129
02/14/2022 04:25:34 - INFO - Epoch: [7], step: [1600], lr: 0.000016, batch_loss: 0.0045, avg_loss: 0.0131
02/14/2022 04:26:40 - INFO - Epoch: [7], step: [1700], lr: 0.000016, batch_loss: 0.0025, avg_loss: 0.0132
02/14/2022 04:27:46 - INFO - Epoch: [7], step: [1800], lr: 0.000016, batch_loss: 0.0015, avg_loss: 0.0133
02/14/2022 04:28:52 - INFO - Epoch: [7], step: [1900], lr: 0.000016, batch_loss: 0.0018, avg_loss: 0.0133
02/14/2022 04:29:58 - INFO - Epoch: [7], step: [2000], lr: 0.000016, batch_loss: 0.1012, avg_loss: 0.0135
02/14/2022 04:31:04 - INFO - Epoch: [7], step: [2100], lr: 0.000016, batch_loss: 0.0014, avg_loss: 0.0134
02/14/2022 04:32:10 - INFO - Epoch: [7], step: [2200], lr: 0.000016, batch_loss: 0.0012, avg_loss: 0.0131
02/14/2022 04:33:17 - INFO - Epoch: [7], step: [2300], lr: 0.000016, batch_loss: 0.0025, avg_loss: 0.0130
02/14/2022 04:34:23 - INFO - Epoch: [7], step: [2400], lr: 0.000016, batch_loss: 0.0124, avg_loss: 0.0130
02/14/2022 04:35:29 - INFO - Epoch: [7], step: [2500], lr: 0.000016, batch_loss: 0.0131, avg_loss: 0.0131
02/14/2022 04:36:36 - INFO - Epoch: [7], step: [2600], lr: 0.000016, batch_loss: 0.0372, avg_loss: 0.0130
02/14/2022 04:37:43 - INFO - Epoch: [7], step: [2700], lr: 0.000016, batch_loss: 0.0020, avg_loss: 0.0132
02/14/2022 04:38:49 - INFO - Epoch: [7], step: [2800], lr: 0.000016, batch_loss: 0.0871, avg_loss: 0.0132
02/14/2022 04:39:56 - INFO - Epoch: [7], step: [2900], lr: 0.000016, batch_loss: 0.0012, avg_loss: 0.0131
02/14/2022 04:41:02 - INFO - Epoch: [7], step: [3000], lr: 0.000016, batch_loss: 0.0008, avg_loss: 0.0130
02/14/2022 04:42:08 - INFO - Epoch: [7], step: [3100], lr: 0.000016, batch_loss: 0.0112, avg_loss: 0.0129
02/14/2022 04:43:15 - INFO - Epoch: [7], step: [3200], lr: 0.000016, batch_loss: 0.0021, avg_loss: 0.0129
02/14/2022 04:44:21 - INFO - Epoch: [7], step: [3300], lr: 0.000016, batch_loss: 0.0017, avg_loss: 0.0127
02/14/2022 04:45:27 - INFO - Epoch: [7], step: [3400], lr: 0.000015, batch_loss: 0.0085, avg_loss: 0.0128
02/14/2022 04:46:34 - INFO - Epoch: [7], step: [3500], lr: 0.000015, batch_loss: 0.0006, avg_loss: 0.0128
02/14/2022 04:47:39 - INFO - Epoch: [7], step: [3600], lr: 0.000015, batch_loss: 0.0092, avg_loss: 0.0128
02/14/2022 04:48:46 - INFO - Epoch: [7], step: [3700], lr: 0.000015, batch_loss: 0.0058, avg_loss: 0.0128
02/14/2022 04:49:52 - INFO - Epoch: [7], step: [3800], lr: 0.000015, batch_loss: 0.0102, avg_loss: 0.0129
02/14/2022 04:50:59 - INFO - Epoch: [7], step: [3900], lr: 0.000015, batch_loss: 0.0009, avg_loss: 0.0129
02/14/2022 04:52:05 - INFO - Epoch: [7], step: [4000], lr: 0.000015, batch_loss: 0.0070, avg_loss: 0.0129
02/14/2022 04:53:12 - INFO - Epoch: [7], step: [4100], lr: 0.000015, batch_loss: 0.0008, avg_loss: 0.0127
02/14/2022 04:54:18 - INFO - Epoch: [7], step: [4200], lr: 0.000015, batch_loss: 0.0090, avg_loss: 0.0128
02/14/2022 04:55:25 - INFO - Epoch: [7], step: [4300], lr: 0.000015, batch_loss: 0.0875, avg_loss: 0.0128
02/14/2022 04:56:31 - INFO - Epoch: [7], step: [4400], lr: 0.000015, batch_loss: 0.0021, avg_loss: 0.0129
02/14/2022 04:56:48 - INFO - ** ** Epoch [7] done! Training loss: 0.01289 ** **
02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:56:48 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:57:43 - INFO - ** * ** Eval at Epoch [7]! Eval Reults: ** * **
02/14/2022 04:57:43 - INFO - I2T Retrieval: 0.8720 @ R1, 0.9870 @ R5, 0.9950 @ R10
02/14/2022 04:57:43 - INFO - =====> Start epoch 8:
02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 04:57:44 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 04:58:52 - INFO - Epoch: [8], step: [100], lr: 0.000015, batch_loss: 0.0512, avg_loss: 0.0141
02/14/2022 04:59:59 - INFO - Epoch: [8], step: [200], lr: 0.000015, batch_loss: 0.0041, avg_loss: 0.0117
02/14/2022 05:01:05 - INFO - Epoch: [8], step: [300], lr: 0.000015, batch_loss: 0.0006, avg_loss: 0.0127
02/14/2022 05:02:11 - INFO - Epoch: [8], step: [400], lr: 0.000015, batch_loss: 0.0018, avg_loss: 0.0121
02/14/2022 05:03:18 - INFO - Epoch: [8], step: [500], lr: 0.000015, batch_loss: 0.0016, avg_loss: 0.0125
02/14/2022 05:04:24 - INFO - Epoch: [8], step: [600], lr: 0.000015, batch_loss: 0.0053, avg_loss: 0.0117
02/14/2022 05:05:29 - INFO - Epoch: [8], step: [700], lr: 0.000015, batch_loss: 0.0032, avg_loss: 0.0117
02/14/2022 05:06:35 - INFO - Epoch: [8], step: [800], lr: 0.000015, batch_loss: 0.0071, avg_loss: 0.0115
02/14/2022 05:07:41 - INFO - Epoch: [8], step: [900], lr: 0.000015, batch_loss: 0.0039, avg_loss: 0.0115
02/14/2022 05:08:47 - INFO - Epoch: [8], step: [1000], lr: 0.000015, batch_loss: 0.0032, avg_loss: 0.0112
02/14/2022 05:09:53 - INFO - Epoch: [8], step: [1100], lr: 0.000015, batch_loss: 0.0283, avg_loss: 0.0115
02/14/2022 05:10:59 - INFO - Epoch: [8], step: [1200], lr: 0.000015, batch_loss: 0.0009, avg_loss: 0.0114
02/14/2022 05:12:05 - INFO - Epoch: [8], step: [1300], lr: 0.000015, batch_loss: 0.0373, avg_loss: 0.0114
02/14/2022 05:13:11 - INFO - Epoch: [8], step: [1400], lr: 0.000015, batch_loss: 0.0285, avg_loss: 0.0116
02/14/2022 05:14:17 - INFO - Epoch: [8], step: [1500], lr: 0.000015, batch_loss: 0.0061, avg_loss: 0.0116
02/14/2022 05:15:22 - INFO - Epoch: [8], step: [1600], lr: 0.000015, batch_loss: 0.0045, avg_loss: 0.0116
02/14/2022 05:16:29 - INFO - Epoch: [8], step: [1700], lr: 0.000015, batch_loss: 0.0007, avg_loss: 0.0116
02/14/2022 05:17:35 - INFO - Epoch: [8], step: [1800], lr: 0.000015, batch_loss: 0.0926, avg_loss: 0.0113
02/14/2022 05:18:41 - INFO - Epoch: [8], step: [1900], lr: 0.000015, batch_loss: 0.0127, avg_loss: 0.0113
02/14/2022 05:19:47 - INFO - Epoch: [8], step: [2000], lr: 0.000015, batch_loss: 0.0021, avg_loss: 0.0115
02/14/2022 05:20:52 - INFO - Epoch: [8], step: [2100], lr: 0.000015, batch_loss: 0.0046, avg_loss: 0.0117
02/14/2022 05:21:58 - INFO - Epoch: [8], step: [2200], lr: 0.000015, batch_loss: 0.0011, avg_loss: 0.0118
02/14/2022 05:23:05 - INFO - Epoch: [8], step: [2300], lr: 0.000015, batch_loss: 0.0036, avg_loss: 0.0120
02/14/2022 05:24:11 - INFO - Epoch: [8], step: [2400], lr: 0.000015, batch_loss: 0.0108, avg_loss: 0.0120
02/14/2022 05:25:17 - INFO - Epoch: [8], step: [2500], lr: 0.000015, batch_loss: 0.0037, avg_loss: 0.0123
02/14/2022 05:26:23 - INFO - Epoch: [8], step: [2600], lr: 0.000015, batch_loss: 0.0026, avg_loss: 0.0122
02/14/2022 05:27:29 - INFO - Epoch: [8], step: [2700], lr: 0.000015, batch_loss: 0.0031, avg_loss: 0.0122
02/14/2022 05:28:35 - INFO - Epoch: [8], step: [2800], lr: 0.000015, batch_loss: 0.0014, avg_loss: 0.0120
02/14/2022 05:29:41 - INFO - Epoch: [8], step: [2900], lr: 0.000015, batch_loss: 0.0011, avg_loss: 0.0119
02/14/2022 05:30:46 - INFO - Epoch: [8], step: [3000], lr: 0.000015, batch_loss: 0.0018, avg_loss: 0.0119
02/14/2022 05:31:52 - INFO - Epoch: [8], step: [3100], lr: 0.000015, batch_loss: 0.0038, avg_loss: 0.0120
02/14/2022 05:32:58 - INFO - Epoch: [8], step: [3200], lr: 0.000015, batch_loss: 0.0015, avg_loss: 0.0120
02/14/2022 05:34:05 - INFO - Epoch: [8], step: [3300], lr: 0.000015, batch_loss: 0.0895, avg_loss: 0.0120
02/14/2022 05:35:11 - INFO - Epoch: [8], step: [3400], lr: 0.000015, batch_loss: 0.0292, avg_loss: 0.0121
02/14/2022 05:36:18 - INFO - Epoch: [8], step: [3500], lr: 0.000015, batch_loss: 0.0450, avg_loss: 0.0121
02/14/2022 05:37:24 - INFO - Epoch: [8], step: [3600], lr: 0.000015, batch_loss: 0.0014, avg_loss: 0.0121
02/14/2022 05:38:30 - INFO - Epoch: [8], step: [3700], lr: 0.000015, batch_loss: 0.0114, avg_loss: 0.0122
02/14/2022 05:39:35 - INFO - Epoch: [8], step: [3800], lr: 0.000015, batch_loss: 0.0990, avg_loss: 0.0122
02/14/2022 05:40:41 - INFO - Epoch: [8], step: [3900], lr: 0.000015, batch_loss: 0.0130, avg_loss: 0.0122
02/14/2022 05:41:47 - INFO - Epoch: [8], step: [4000], lr: 0.000015, batch_loss: 0.0011, avg_loss: 0.0122
02/14/2022 05:42:54 - INFO - Epoch: [8], step: [4100], lr: 0.000015, batch_loss: 0.0029, avg_loss: 0.0123
02/14/2022 05:43:59 - INFO - Epoch: [8], step: [4200], lr: 0.000015, batch_loss: 0.0043, avg_loss: 0.0123
02/14/2022 05:45:05 - INFO - Epoch: [8], step: [4300], lr: 0.000015, batch_loss: 0.0031, avg_loss: 0.0124
02/14/2022 05:46:12 - INFO - Epoch: [8], step: [4400], lr: 0.000015, batch_loss: 0.0235, avg_loss: 0.0124
02/14/2022 05:46:29 - INFO - ** ** Epoch [8] done! Training loss: 0.01241 ** **
02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:46:29 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:47:24 - INFO - ** * ** Eval at Epoch [8]! Eval Reults: ** * **
02/14/2022 05:47:24 - INFO - I2T Retrieval: 0.8780 @ R1, 0.9840 @ R5, 0.9940 @ R10
02/14/2022 05:47:24 - INFO - =====> Start epoch 9:
02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:47:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 05:48:33 - INFO - Epoch: [9], step: [100], lr: 0.000015, batch_loss: 0.0651, avg_loss: 0.0124
02/14/2022 05:49:39 - INFO - Epoch: [9], step: [200], lr: 0.000015, batch_loss: 0.0082, avg_loss: 0.0146
02/14/2022 05:50:45 - INFO - Epoch: [9], step: [300], lr: 0.000015, batch_loss: 0.0012, avg_loss: 0.0130
02/14/2022 05:51:51 - INFO - Epoch: [9], step: [400], lr: 0.000015, batch_loss: 0.0049, avg_loss: 0.0137
02/14/2022 05:52:59 - INFO - Epoch: [9], step: [500], lr: 0.000015, batch_loss: 0.0312, avg_loss: 0.0131
02/14/2022 05:54:06 - INFO - Epoch: [9], step: [600], lr: 0.000015, batch_loss: 0.0440, avg_loss: 0.0135
02/14/2022 05:55:13 - INFO - Epoch: [9], step: [700], lr: 0.000015, batch_loss: 0.0022, avg_loss: 0.0138
02/14/2022 05:56:19 - INFO - Epoch: [9], step: [800], lr: 0.000015, batch_loss: 0.0184, avg_loss: 0.0134
02/14/2022 05:57:26 - INFO - Epoch: [9], step: [900], lr: 0.000015, batch_loss: 0.0187, avg_loss: 0.0133
02/14/2022 05:58:32 - INFO - Epoch: [9], step: [1000], lr: 0.000015, batch_loss: 0.0092, avg_loss: 0.0132
02/14/2022 05:59:38 - INFO - Epoch: [9], step: [1100], lr: 0.000015, batch_loss: 0.0667, avg_loss: 0.0131
02/14/2022 06:00:44 - INFO - Epoch: [9], step: [1200], lr: 0.000014, batch_loss: 0.0010, avg_loss: 0.0132
02/14/2022 06:01:51 - INFO - Epoch: [9], step: [1300], lr: 0.000014, batch_loss: 0.0421, avg_loss: 0.0131
02/14/2022 06:02:57 - INFO - Epoch: [9], step: [1400], lr: 0.000014, batch_loss: 0.0008, avg_loss: 0.0131
02/14/2022 06:04:04 - INFO - Epoch: [9], step: [1500], lr: 0.000014, batch_loss: 0.0017, avg_loss: 0.0132
02/14/2022 06:05:10 - INFO - Epoch: [9], step: [1600], lr: 0.000014, batch_loss: 0.0020, avg_loss: 0.0131
02/14/2022 06:06:16 - INFO - Epoch: [9], step: [1700], lr: 0.000014, batch_loss: 0.0023, avg_loss: 0.0132
02/14/2022 06:07:22 - INFO - Epoch: [9], step: [1800], lr: 0.000014, batch_loss: 0.0005, avg_loss: 0.0129
02/14/2022 06:08:29 - INFO - Epoch: [9], step: [1900], lr: 0.000014, batch_loss: 0.0019, avg_loss: 0.0128
02/14/2022 06:09:35 - INFO - Epoch: [9], step: [2000], lr: 0.000014, batch_loss: 0.0010, avg_loss: 0.0128
02/14/2022 06:10:42 - INFO - Epoch: [9], step: [2100], lr: 0.000014, batch_loss: 0.1035, avg_loss: 0.0128
02/14/2022 06:11:48 - INFO - Epoch: [9], step: [2200], lr: 0.000014, batch_loss: 0.0027, avg_loss: 0.0127
02/14/2022 06:12:55 - INFO - Epoch: [9], step: [2300], lr: 0.000014, batch_loss: 0.1447, avg_loss: 0.0129
02/14/2022 06:14:02 - INFO - Epoch: [9], step: [2400], lr: 0.000014, batch_loss: 0.0028, avg_loss: 0.0129
02/14/2022 06:15:08 - INFO - Epoch: [9], step: [2500], lr: 0.000014, batch_loss: 0.0135, avg_loss: 0.0130
02/14/2022 06:16:14 - INFO - Epoch: [9], step: [2600], lr: 0.000014, batch_loss: 0.0013, avg_loss: 0.0129
02/14/2022 06:17:20 - INFO - Epoch: [9], step: [2700], lr: 0.000014, batch_loss: 0.0023, avg_loss: 0.0128
02/14/2022 06:18:27 - INFO - Epoch: [9], step: [2800], lr: 0.000014, batch_loss: 0.0080, avg_loss: 0.0127
02/14/2022 06:19:33 - INFO - Epoch: [9], step: [2900], lr: 0.000014, batch_loss: 0.0011, avg_loss: 0.0127
02/14/2022 06:20:39 - INFO - Epoch: [9], step: [3000], lr: 0.000014, batch_loss: 0.0015, avg_loss: 0.0127
02/14/2022 06:21:45 - INFO - Epoch: [9], step: [3100], lr: 0.000014, batch_loss: 0.0018, avg_loss: 0.0128
02/14/2022 06:22:52 - INFO - Epoch: [9], step: [3200], lr: 0.000014, batch_loss: 0.0006, avg_loss: 0.0129
02/14/2022 06:23:58 - INFO - Epoch: [9], step: [3300], lr: 0.000014, batch_loss: 0.0377, avg_loss: 0.0127
02/14/2022 06:25:04 - INFO - Epoch: [9], step: [3400], lr: 0.000014, batch_loss: 0.0261, avg_loss: 0.0127
02/14/2022 06:26:11 - INFO - Epoch: [9], step: [3500], lr: 0.000014, batch_loss: 0.0069, avg_loss: 0.0126
02/14/2022 06:27:17 - INFO - Epoch: [9], step: [3600], lr: 0.000014, batch_loss: 0.0157, avg_loss: 0.0126
02/14/2022 06:28:23 - INFO - Epoch: [9], step: [3700], lr: 0.000014, batch_loss: 0.0011, avg_loss: 0.0125
02/14/2022 06:29:30 - INFO - Epoch: [9], step: [3800], lr: 0.000014, batch_loss: 0.0108, avg_loss: 0.0124
02/14/2022 06:30:36 - INFO - Epoch: [9], step: [3900], lr: 0.000014, batch_loss: 0.0905, avg_loss: 0.0123
02/14/2022 06:31:43 - INFO - Epoch: [9], step: [4000], lr: 0.000014, batch_loss: 0.0013, avg_loss: 0.0123
02/14/2022 06:32:50 - INFO - Epoch: [9], step: [4100], lr: 0.000014, batch_loss: 0.0058, avg_loss: 0.0123
02/14/2022 06:33:56 - INFO - Epoch: [9], step: [4200], lr: 0.000014, batch_loss: 0.0021, avg_loss: 0.0124
02/14/2022 06:35:02 - INFO - Epoch: [9], step: [4300], lr: 0.000014, batch_loss: 0.0027, avg_loss: 0.0124
02/14/2022 06:36:09 - INFO - Epoch: [9], step: [4400], lr: 0.000014, batch_loss: 0.0034, avg_loss: 0.0125
02/14/2022 06:36:26 - INFO - ** ** Epoch [9] done! Training loss: 0.01249 ** **
02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 06:36:26 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:37:21 - INFO - ** * ** Eval at Epoch [9]! Eval Reults: ** * **
02/14/2022 06:37:21 - INFO - I2T Retrieval: 0.8820 @ R1, 0.9830 @ R5, 0.9940 @ R10
02/14/2022 06:37:21 - INFO - =====> Start epoch 10:
02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:37:22 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 06:38:30 - INFO - Epoch: [10], step: [100], lr: 0.000014, batch_loss: 0.0016, avg_loss: 0.0093
02/14/2022 06:39:36 - INFO - Epoch: [10], step: [200], lr: 0.000014, batch_loss: 0.0030, avg_loss: 0.0101
02/14/2022 06:40:42 - INFO - Epoch: [10], step: [300], lr: 0.000014, batch_loss: 0.0008, avg_loss: 0.0124
02/14/2022 06:41:48 - INFO - Epoch: [10], step: [400], lr: 0.000014, batch_loss: 0.0824, avg_loss: 0.0122
02/14/2022 06:42:54 - INFO - Epoch: [10], step: [500], lr: 0.000014, batch_loss: 0.0093, avg_loss: 0.0117
02/14/2022 06:44:00 - INFO - Epoch: [10], step: [600], lr: 0.000014, batch_loss: 0.0009, avg_loss: 0.0119
02/14/2022 06:45:06 - INFO - Epoch: [10], step: [700], lr: 0.000014, batch_loss: 0.0035, avg_loss: 0.0123
02/14/2022 06:46:12 - INFO - Epoch: [10], step: [800], lr: 0.000014, batch_loss: 0.0473, avg_loss: 0.0126
02/14/2022 06:47:18 - INFO - Epoch: [10], step: [900], lr: 0.000014, batch_loss: 0.0037, avg_loss: 0.0124
02/14/2022 06:48:24 - INFO - Epoch: [10], step: [1000], lr: 0.000014, batch_loss: 0.0008, avg_loss: 0.0122
02/14/2022 06:49:30 - INFO - Epoch: [10], step: [1100], lr: 0.000014, batch_loss: 0.0271, avg_loss: 0.0119
02/14/2022 06:50:36 - INFO - Epoch: [10], step: [1200], lr: 0.000014, batch_loss: 0.0023, avg_loss: 0.0122
02/14/2022 06:51:42 - INFO - Epoch: [10], step: [1300], lr: 0.000014, batch_loss: 0.0023, avg_loss: 0.0119
02/14/2022 06:52:48 - INFO - Epoch: [10], step: [1400], lr: 0.000014, batch_loss: 0.0005, avg_loss: 0.0118
02/14/2022 06:53:53 - INFO - Epoch: [10], step: [1500], lr: 0.000014, batch_loss: 0.0224, avg_loss: 0.0121
02/14/2022 06:54:59 - INFO - Epoch: [10], step: [1600], lr: 0.000014, batch_loss: 0.0016, avg_loss: 0.0121
02/14/2022 06:56:05 - INFO - Epoch: [10], step: [1700], lr: 0.000014, batch_loss: 0.0015, avg_loss: 0.0120
02/14/2022 06:57:11 - INFO - Epoch: [10], step: [1800], lr: 0.000014, batch_loss: 0.0380, avg_loss: 0.0119
02/14/2022 06:58:17 - INFO - Epoch: [10], step: [1900], lr: 0.000014, batch_loss: 0.0014, avg_loss: 0.0122
02/14/2022 06:59:23 - INFO - Epoch: [10], step: [2000], lr: 0.000014, batch_loss: 0.0017, avg_loss: 0.0120
02/14/2022 07:00:28 - INFO - Epoch: [10], step: [2100], lr: 0.000014, batch_loss: 0.0035, avg_loss: 0.0121
02/14/2022 07:01:34 - INFO - Epoch: [10], step: [2200], lr: 0.000014, batch_loss: 0.0033, avg_loss: 0.0122
02/14/2022 07:02:40 - INFO - Epoch: [10], step: [2300], lr: 0.000014, batch_loss: 0.0259, avg_loss: 0.0122
02/14/2022 07:03:46 - INFO - Epoch: [10], step: [2400], lr: 0.000014, batch_loss: 0.0006, avg_loss: 0.0122
02/14/2022 07:04:52 - INFO - Epoch: [10], step: [2500], lr: 0.000014, batch_loss: 0.0020, avg_loss: 0.0123
02/14/2022 07:05:58 - INFO - Epoch: [10], step: [2600], lr: 0.000014, batch_loss: 0.0036, avg_loss: 0.0123
02/14/2022 07:07:04 - INFO - Epoch: [10], step: [2700], lr: 0.000014, batch_loss: 0.0006, avg_loss: 0.0123
02/14/2022 07:08:09 - INFO - Epoch: [10], step: [2800], lr: 0.000014, batch_loss: 0.0245, avg_loss: 0.0123
02/14/2022 07:09:15 - INFO - Epoch: [10], step: [2900], lr: 0.000014, batch_loss: 0.0404, avg_loss: 0.0123
02/14/2022 07:10:21 - INFO - Epoch: [10], step: [3000], lr: 0.000014, batch_loss: 0.0650, avg_loss: 0.0124
02/14/2022 07:11:27 - INFO - Epoch: [10], step: [3100], lr: 0.000014, batch_loss: 0.0014, avg_loss: 0.0124
02/14/2022 07:12:33 - INFO - Epoch: [10], step: [3200], lr: 0.000014, batch_loss: 0.0059, avg_loss: 0.0125
02/14/2022 07:13:39 - INFO - Epoch: [10], step: [3300], lr: 0.000014, batch_loss: 0.0035, avg_loss: 0.0125
02/14/2022 07:14:44 - INFO - Epoch: [10], step: [3400], lr: 0.000013, batch_loss: 0.0019, avg_loss: 0.0125
02/14/2022 07:15:50 - INFO - Epoch: [10], step: [3500], lr: 0.000013, batch_loss: 0.0809, avg_loss: 0.0127
02/14/2022 07:16:56 - INFO - Epoch: [10], step: [3600], lr: 0.000013, batch_loss: 0.0120, avg_loss: 0.0127
02/14/2022 07:18:02 - INFO - Epoch: [10], step: [3700], lr: 0.000013, batch_loss: 0.0020, avg_loss: 0.0126
02/14/2022 07:19:08 - INFO - Epoch: [10], step: [3800], lr: 0.000013, batch_loss: 0.0005, avg_loss: 0.0126
02/14/2022 07:20:14 - INFO - Epoch: [10], step: [3900], lr: 0.000013, batch_loss: 0.0020, avg_loss: 0.0125
02/14/2022 07:21:19 - INFO - Epoch: [10], step: [4000], lr: 0.000013, batch_loss: 0.0016, avg_loss: 0.0125
02/14/2022 07:22:25 - INFO - Epoch: [10], step: [4100], lr: 0.000013, batch_loss: 0.0013, avg_loss: 0.0123
02/14/2022 07:23:31 - INFO - Epoch: [10], step: [4200], lr: 0.000013, batch_loss: 0.0040, avg_loss: 0.0124
02/14/2022 07:24:36 - INFO - Epoch: [10], step: [4300], lr: 0.000013, batch_loss: 0.0091, avg_loss: 0.0123
02/14/2022 07:25:42 - INFO - Epoch: [10], step: [4400], lr: 0.000013, batch_loss: 0.0975, avg_loss: 0.0123
02/14/2022 07:25:59 - INFO - ** ** Epoch [10] done! Training loss: 0.01225 ** **
02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:00 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:54 - INFO - ** * ** Eval at Epoch [10]! Eval Reults: ** * **
02/14/2022 07:26:54 - INFO - I2T Retrieval: 0.8700 @ R1, 0.9880 @ R5, 0.9960 @ R10
02/14/2022 07:26:54 - INFO - =====> Start epoch 11:
02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 07:26:55 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 07:28:04 - INFO - Epoch: [11], step: [100], lr: 0.000013, batch_loss: 0.0689, avg_loss: 0.0130
02/14/2022 07:29:11 - INFO - Epoch: [11], step: [200], lr: 0.000013, batch_loss: 0.0074, avg_loss: 0.0126
02/14/2022 07:30:17 - INFO - Epoch: [11], step: [300], lr: 0.000013, batch_loss: 0.0036, avg_loss: 0.0120
02/14/2022 07:31:23 - INFO - Epoch: [11], step: [400], lr: 0.000013, batch_loss: 0.0028, avg_loss: 0.0115
02/14/2022 07:32:30 - INFO - Epoch: [11], step: [500], lr: 0.000013, batch_loss: 0.0010, avg_loss: 0.0119
02/14/2022 07:33:36 - INFO - Epoch: [11], step: [600], lr: 0.000013, batch_loss: 0.0009, avg_loss: 0.0112
02/14/2022 07:34:43 - INFO - Epoch: [11], step: [700], lr: 0.000013, batch_loss: 0.0131, avg_loss: 0.0114
02/14/2022 07:35:49 - INFO - Epoch: [11], step: [800], lr: 0.000013, batch_loss: 0.0017, avg_loss: 0.0109
02/14/2022 07:36:55 - INFO - Epoch: [11], step: [900], lr: 0.000013, batch_loss: 0.0009, avg_loss: 0.0111
02/14/2022 07:38:02 - INFO - Epoch: [11], step: [1000], lr: 0.000013, batch_loss: 0.0009, avg_loss: 0.0109
02/14/2022 07:39:08 - INFO - Epoch: [11], step: [1100], lr: 0.000013, batch_loss: 0.0020, avg_loss: 0.0108
02/14/2022 07:40:14 - INFO - Epoch: [11], step: [1200], lr: 0.000013, batch_loss: 0.0013, avg_loss: 0.0109
02/14/2022 07:41:20 - INFO - Epoch: [11], step: [1300], lr: 0.000013, batch_loss: 0.0177, avg_loss: 0.0109
02/14/2022 07:42:27 - INFO - Epoch: [11], step: [1400], lr: 0.000013, batch_loss: 0.0789, avg_loss: 0.0112
02/14/2022 07:43:33 - INFO - Epoch: [11], step: [1500], lr: 0.000013, batch_loss: 0.0009, avg_loss: 0.0113
02/14/2022 07:44:39 - INFO - Epoch: [11], step: [1600], lr: 0.000013, batch_loss: 0.0025, avg_loss: 0.0113
02/14/2022 07:45:45 - INFO - Epoch: [11], step: [1700], lr: 0.000013, batch_loss: 0.0062, avg_loss: 0.0115
02/14/2022 07:46:51 - INFO - Epoch: [11], step: [1800], lr: 0.000013, batch_loss: 0.0047, avg_loss: 0.0116
02/14/2022 07:47:57 - INFO - Epoch: [11], step: [1900], lr: 0.000013, batch_loss: 0.0027, avg_loss: 0.0116
02/14/2022 07:49:03 - INFO - Epoch: [11], step: [2000], lr: 0.000013, batch_loss: 0.0014, avg_loss: 0.0116
02/14/2022 07:50:10 - INFO - Epoch: [11], step: [2100], lr: 0.000013, batch_loss: 0.0015, avg_loss: 0.0117
02/14/2022 07:51:16 - INFO - Epoch: [11], step: [2200], lr: 0.000013, batch_loss: 0.0024, avg_loss: 0.0115
02/14/2022 07:52:23 - INFO - Epoch: [11], step: [2300], lr: 0.000013, batch_loss: 0.0016, avg_loss: 0.0115
02/14/2022 07:53:29 - INFO - Epoch: [11], step: [2400], lr: 0.000013, batch_loss: 0.0014, avg_loss: 0.0114
02/14/2022 07:54:35 - INFO - Epoch: [11], step: [2500], lr: 0.000013, batch_loss: 0.0647, avg_loss: 0.0115
02/14/2022 07:55:41 - INFO - Epoch: [11], step: [2600], lr: 0.000013, batch_loss: 0.0011, avg_loss: 0.0116
02/14/2022 07:56:47 - INFO - Epoch: [11], step: [2700], lr: 0.000013, batch_loss: 0.0021, avg_loss: 0.0116
02/14/2022 07:57:54 - INFO - Epoch: [11], step: [2800], lr: 0.000013, batch_loss: 0.0006, avg_loss: 0.0116
02/14/2022 07:59:00 - INFO - Epoch: [11], step: [2900], lr: 0.000013, batch_loss: 0.0022, avg_loss: 0.0116
02/14/2022 08:00:06 - INFO - Epoch: [11], step: [3000], lr: 0.000013, batch_loss: 0.0009, avg_loss: 0.0115
02/14/2022 08:01:12 - INFO - Epoch: [11], step: [3100], lr: 0.000013, batch_loss: 0.0050, avg_loss: 0.0116
02/14/2022 08:02:18 - INFO - Epoch: [11], step: [3200], lr: 0.000013, batch_loss: 0.0010, avg_loss: 0.0116
02/14/2022 08:03:25 - INFO - Epoch: [11], step: [3300], lr: 0.000013, batch_loss: 0.0023, avg_loss: 0.0117
02/14/2022 08:04:31 - INFO - Epoch: [11], step: [3400], lr: 0.000013, batch_loss: 0.0013, avg_loss: 0.0116
02/14/2022 08:05:37 - INFO - Epoch: [11], step: [3500], lr: 0.000013, batch_loss: 0.0009, avg_loss: 0.0117
02/14/2022 08:06:43 - INFO - Epoch: [11], step: [3600], lr: 0.000013, batch_loss: 0.0011, avg_loss: 0.0117
02/14/2022 08:07:50 - INFO - Epoch: [11], step: [3700], lr: 0.000013, batch_loss: 0.0012, avg_loss: 0.0117
02/14/2022 08:08:56 - INFO - Epoch: [11], step: [3800], lr: 0.000013, batch_loss: 0.0028, avg_loss: 0.0118
02/14/2022 08:10:02 - INFO - Epoch: [11], step: [3900], lr: 0.000013, batch_loss: 0.0029, avg_loss: 0.0118
02/14/2022 08:11:08 - INFO - Epoch: [11], step: [4000], lr: 0.000013, batch_loss: 0.0010, avg_loss: 0.0118
02/14/2022 08:12:14 - INFO - Epoch: [11], step: [4100], lr: 0.000013, batch_loss: 0.0015, avg_loss: 0.0118
02/14/2022 08:13:21 - INFO - Epoch: [11], step: [4200], lr: 0.000013, batch_loss: 0.0027, avg_loss: 0.0118
02/14/2022 08:14:27 - INFO - Epoch: [11], step: [4300], lr: 0.000013, batch_loss: 0.0685, avg_loss: 0.0119
02/14/2022 08:15:33 - INFO - Epoch: [11], step: [4400], lr: 0.000013, batch_loss: 0.0817, avg_loss: 0.0119
02/14/2022 08:15:50 - INFO - ** ** Epoch [11] done! Training loss: 0.01188 ** **
02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:15:50 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:45 - INFO - ** * ** Eval at Epoch [11]! Eval Reults: ** * **
02/14/2022 08:16:45 - INFO - I2T Retrieval: 0.8720 @ R1, 0.9830 @ R5, 0.9950 @ R10
02/14/2022 08:16:45 - INFO - =====> Start epoch 12:
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:16:46 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 08:17:54 - INFO - Epoch: [12], step: [100], lr: 0.000013, batch_loss: 0.0013, avg_loss: 0.0113
02/14/2022 08:19:00 - INFO - Epoch: [12], step: [200], lr: 0.000013, batch_loss: 0.0037, avg_loss: 0.0113
02/14/2022 08:20:06 - INFO - Epoch: [12], step: [300], lr: 0.000013, batch_loss: 0.0015, avg_loss: 0.0111
02/14/2022 08:21:12 - INFO - Epoch: [12], step: [400], lr: 0.000013, batch_loss: 0.0010, avg_loss: 0.0111
02/14/2022 08:22:17 - INFO - Epoch: [12], step: [500], lr: 0.000013, batch_loss: 0.0152, avg_loss: 0.0111
02/14/2022 08:23:23 - INFO - Epoch: [12], step: [600], lr: 0.000013, batch_loss: 0.0008, avg_loss: 0.0105
02/14/2022 08:24:29 - INFO - Epoch: [12], step: [700], lr: 0.000013, batch_loss: 0.0015, avg_loss: 0.0104
02/14/2022 08:25:35 - INFO - Epoch: [12], step: [800], lr: 0.000013, batch_loss: 0.0032, avg_loss: 0.0099
02/14/2022 08:26:41 - INFO - Epoch: [12], step: [900], lr: 0.000013, batch_loss: 0.0007, avg_loss: 0.0100
02/14/2022 08:27:47 - INFO - Epoch: [12], step: [1000], lr: 0.000013, batch_loss: 0.0054, avg_loss: 0.0104
02/14/2022 08:28:53 - INFO - Epoch: [12], step: [1100], lr: 0.000013, batch_loss: 0.0182, avg_loss: 0.0107
02/14/2022 08:29:59 - INFO - Epoch: [12], step: [1200], lr: 0.000012, batch_loss: 0.0016, avg_loss: 0.0108
02/14/2022 08:31:04 - INFO - Epoch: [12], step: [1300], lr: 0.000012, batch_loss: 0.0011, avg_loss: 0.0107
02/14/2022 08:32:10 - INFO - Epoch: [12], step: [1400], lr: 0.000012, batch_loss: 0.0004, avg_loss: 0.0107
02/14/2022 08:33:16 - INFO - Epoch: [12], step: [1500], lr: 0.000012, batch_loss: 0.0016, avg_loss: 0.0108
02/14/2022 08:34:22 - INFO - Epoch: [12], step: [1600], lr: 0.000012, batch_loss: 0.0054, avg_loss: 0.0108
02/14/2022 08:35:27 - INFO - Epoch: [12], step: [1700], lr: 0.000012, batch_loss: 0.0026, avg_loss: 0.0110
02/14/2022 08:36:33 - INFO - Epoch: [12], step: [1800], lr: 0.000012, batch_loss: 0.0028, avg_loss: 0.0110
02/14/2022 08:37:39 - INFO - Epoch: [12], step: [1900], lr: 0.000012, batch_loss: 0.0030, avg_loss: 0.0110
02/14/2022 08:38:45 - INFO - Epoch: [12], step: [2000], lr: 0.000012, batch_loss: 0.0006, avg_loss: 0.0110
02/14/2022 08:39:51 - INFO - Epoch: [12], step: [2100], lr: 0.000012, batch_loss: 0.0062, avg_loss: 0.0110
02/14/2022 08:40:56 - INFO - Epoch: [12], step: [2200], lr: 0.000012, batch_loss: 0.0100, avg_loss: 0.0111
02/14/2022 08:42:02 - INFO - Epoch: [12], step: [2300], lr: 0.000012, batch_loss: 0.0006, avg_loss: 0.0109
02/14/2022 08:43:09 - INFO - Epoch: [12], step: [2400], lr: 0.000012, batch_loss: 0.0026, avg_loss: 0.0109
02/14/2022 08:44:15 - INFO - Epoch: [12], step: [2500], lr: 0.000012, batch_loss: 0.0012, avg_loss: 0.0110
02/14/2022 08:45:21 - INFO - Epoch: [12], step: [2600], lr: 0.000012, batch_loss: 0.0021, avg_loss: 0.0110
02/14/2022 08:46:27 - INFO - Epoch: [12], step: [2700], lr: 0.000012, batch_loss: 0.0026, avg_loss: 0.0108
02/14/2022 08:47:33 - INFO - Epoch: [12], step: [2800], lr: 0.000012, batch_loss: 0.0739, avg_loss: 0.0108
02/14/2022 08:48:39 - INFO - Epoch: [12], step: [2900], lr: 0.000012, batch_loss: 0.0020, avg_loss: 0.0108
02/14/2022 08:49:45 - INFO - Epoch: [12], step: [3000], lr: 0.000012, batch_loss: 0.0023, avg_loss: 0.0109
02/14/2022 08:50:50 - INFO - Epoch: [12], step: [3100], lr: 0.000012, batch_loss: 0.0009, avg_loss: 0.0107
02/14/2022 08:51:56 - INFO - Epoch: [12], step: [3200], lr: 0.000012, batch_loss: 0.0006, avg_loss: 0.0107
02/14/2022 08:53:02 - INFO - Epoch: [12], step: [3300], lr: 0.000012, batch_loss: 0.0016, avg_loss: 0.0108
02/14/2022 08:54:08 - INFO - Epoch: [12], step: [3400], lr: 0.000012, batch_loss: 0.0016, avg_loss: 0.0109
02/14/2022 08:55:14 - INFO - Epoch: [12], step: [3500], lr: 0.000012, batch_loss: 0.0100, avg_loss: 0.0110
02/14/2022 08:56:20 - INFO - Epoch: [12], step: [3600], lr: 0.000012, batch_loss: 0.0798, avg_loss: 0.0111
02/14/2022 08:57:26 - INFO - Epoch: [12], step: [3700], lr: 0.000012, batch_loss: 0.0005, avg_loss: 0.0111
02/14/2022 08:58:32 - INFO - Epoch: [12], step: [3800], lr: 0.000012, batch_loss: 0.0010, avg_loss: 0.0111
02/14/2022 08:59:38 - INFO - Epoch: [12], step: [3900], lr: 0.000012, batch_loss: 0.0006, avg_loss: 0.0111
02/14/2022 09:00:44 - INFO - Epoch: [12], step: [4000], lr: 0.000012, batch_loss: 0.0452, avg_loss: 0.0111
02/14/2022 09:01:50 - INFO - Epoch: [12], step: [4100], lr: 0.000012, batch_loss: 0.0280, avg_loss: 0.0111
02/14/2022 09:02:56 - INFO - Epoch: [12], step: [4200], lr: 0.000012, batch_loss: 0.0029, avg_loss: 0.0112
02/14/2022 09:04:02 - INFO - Epoch: [12], step: [4300], lr: 0.000012, batch_loss: 0.0013, avg_loss: 0.0112
02/14/2022 09:05:08 - INFO - Epoch: [12], step: [4400], lr: 0.000012, batch_loss: 0.0230, avg_loss: 0.0112
02/14/2022 09:05:25 - INFO - ** ** Epoch [12] done! Training loss: 0.01121 ** **
02/14/2022 09:05:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:05:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:05:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:05:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:05:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:05:25 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:05:26 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:05:26 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:06:20 - INFO - ** * ** Eval at Epoch [12]! Eval Reults: ** * **
02/14/2022 09:06:20 - INFO - I2T Retrieval: 0.8710 @ R1, 0.9860 @ R5, 0.9950 @ R10
02/14/2022 09:06:20 - INFO - =====> Start epoch 13:
02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 09:06:21 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:07:29 - INFO - Epoch: [13], step: [100], lr: 0.000012, batch_loss: 0.0007, avg_loss: 0.0131
02/14/2022 09:08:36 - INFO - Epoch: [13], step: [200], lr: 0.000012, batch_loss: 0.0012, avg_loss: 0.0123
02/14/2022 09:09:42 - INFO - Epoch: [13], step: [300], lr: 0.000012, batch_loss: 0.0420, avg_loss: 0.0117
02/14/2022 09:10:48 - INFO - Epoch: [13], step: [400], lr: 0.000012, batch_loss: 0.0056, avg_loss: 0.0114
02/14/2022 09:11:54 - INFO - Epoch: [13], step: [500], lr: 0.000012, batch_loss: 0.0017, avg_loss: 0.0110
02/14/2022 09:13:00 - INFO - Epoch: [13], step: [600], lr: 0.000012, batch_loss: 0.0405, avg_loss: 0.0103
02/14/2022 09:14:07 - INFO - Epoch: [13], step: [700], lr: 0.000012, batch_loss: 0.0043, avg_loss: 0.0100
02/14/2022 09:15:13 - INFO - Epoch: [13], step: [800], lr: 0.000012, batch_loss: 0.0543, avg_loss: 0.0103
02/14/2022 09:16:19 - INFO - Epoch: [13], step: [900], lr: 0.000012, batch_loss: 0.0008, avg_loss: 0.0103
02/14/2022 09:17:25 - INFO - Epoch: [13], step: [1000], lr: 0.000012, batch_loss: 0.0011, avg_loss: 0.0103
02/14/2022 09:18:31 - INFO - Epoch: [13], step: [1100], lr: 0.000012, batch_loss: 0.0018, avg_loss: 0.0104
02/14/2022 09:19:37 - INFO - Epoch: [13], step: [1200], lr: 0.000012, batch_loss: 0.0152, avg_loss: 0.0101
02/14/2022 09:20:43 - INFO - Epoch: [13], step: [1300], lr: 0.000012, batch_loss: 0.0007, avg_loss: 0.0101
02/14/2022 09:21:49 - INFO - Epoch: [13], step: [1400], lr: 0.000012, batch_loss: 0.0019, avg_loss: 0.0102
02/14/2022 09:22:55 - INFO - Epoch: [13], step: [1500], lr: 0.000012, batch_loss: 0.0011, avg_loss: 0.0104
02/14/2022 09:24:00 - INFO - Epoch: [13], step: [1600], lr: 0.000012, batch_loss: 0.0084, avg_loss: 0.0101
02/14/2022 09:25:07 - INFO - Epoch: [13], step: [1700], lr: 0.000012, batch_loss: 0.0005, avg_loss: 0.0101
02/14/2022 09:26:13 - INFO - Epoch: [13], step: [1800], lr: 0.000012, batch_loss: 0.0467, avg_loss: 0.0099
02/14/2022 09:27:19 - INFO - Epoch: [13], step: [1900], lr: 0.000012, batch_loss: 0.0013, avg_loss: 0.0099
02/14/2022 09:28:25 - INFO - Epoch: [13], step: [2000], lr: 0.000012, batch_loss: 0.0008, avg_loss: 0.0098
02/14/2022 09:29:31 - INFO - Epoch: [13], step: [2100], lr: 0.000012, batch_loss: 0.0011, avg_loss: 0.0099
02/14/2022 09:30:37 - INFO - Epoch: [13], step: [2200], lr: 0.000012, batch_loss: 0.0015, avg_loss: 0.0098
02/14/2022 09:31:43 - INFO - Epoch: [13], step: [2300], lr: 0.000012, batch_loss: 0.0583, avg_loss: 0.0099
02/14/2022 09:32:49 - INFO - Epoch: [13], step: [2400], lr: 0.000012, batch_loss: 0.0025, avg_loss: 0.0100
02/14/2022 09:33:55 - INFO - Epoch: [13], step: [2500], lr: 0.000012, batch_loss: 0.0030, avg_loss: 0.0099
02/14/2022 09:35:01 - INFO - Epoch: [13], step: [2600], lr: 0.000012, batch_loss: 0.0164, avg_loss: 0.0100
02/14/2022 09:36:07 - INFO - Epoch: [13], step: [2700], lr: 0.000012, batch_loss: 0.0008, avg_loss: 0.0100
02/14/2022 09:37:13 - INFO - Epoch: [13], step: [2800], lr: 0.000012, batch_loss: 0.0008, avg_loss: 0.0101
02/14/2022 09:38:19 - INFO - Epoch: [13], step: [2900], lr: 0.000012, batch_loss: 0.0005, avg_loss: 0.0101
02/14/2022 09:39:25 - INFO - Epoch: [13], step: [3000], lr: 0.000012, batch_loss: 0.0011, avg_loss: 0.0102
02/14/2022 09:40:31 - INFO - Epoch: [13], step: [3100], lr: 0.000012, batch_loss: 0.0007, avg_loss: 0.0102
02/14/2022 09:41:36 - INFO - Epoch: [13], step: [3200], lr: 0.000012, batch_loss: 0.0013, avg_loss: 0.0102
02/14/2022 09:42:42 - INFO - Epoch: [13], step: [3300], lr: 0.000012, batch_loss: 0.0037, avg_loss: 0.0102
02/14/2022 09:43:48 - INFO - Epoch: [13], step: [3400], lr: 0.000011, batch_loss: 0.0007, avg_loss: 0.0103
02/14/2022 09:44:54 - INFO - Epoch: [13], step: [3500], lr: 0.000011, batch_loss: 0.0022, avg_loss: 0.0104
02/14/2022 09:46:00 - INFO - Epoch: [13], step: [3600], lr: 0.000011, batch_loss: 0.0011, avg_loss: 0.0105
02/14/2022 09:47:06 - INFO - Epoch: [13], step: [3700], lr: 0.000011, batch_loss: 0.0027, avg_loss: 0.0104
02/14/2022 09:48:11 - INFO - Epoch: [13], step: [3800], lr: 0.000011, batch_loss: 0.0006, avg_loss: 0.0105
02/14/2022 09:49:17 - INFO - Epoch: [13], step: [3900], lr: 0.000011, batch_loss: 0.0019, avg_loss: 0.0104
02/14/2022 09:50:23 - INFO - Epoch: [13], step: [4000], lr: 0.000011, batch_loss: 0.0062, avg_loss: 0.0105
02/14/2022 09:51:28 - INFO - Epoch: [13], step: [4100], lr: 0.000011, batch_loss: 0.0037, avg_loss: 0.0105
02/14/2022 09:52:34 - INFO - Epoch: [13], step: [4200], lr: 0.000011, batch_loss: 0.0007, avg_loss: 0.0105
02/14/2022 09:53:40 - INFO - Epoch: [13], step: [4300], lr: 0.000011, batch_loss: 0.0018, avg_loss: 0.0106
02/14/2022 09:54:46 - INFO - Epoch: [13], step: [4400], lr: 0.000011, batch_loss: 0.0010, avg_loss: 0.0106
02/14/2022 09:55:03 - INFO - ** ** Epoch [13] done! Training loss: 0.01058 ** **
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:03 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:58 - INFO - ** * ** Eval at Epoch [13]! Eval Reults: ** * **
02/14/2022 09:55:58 - INFO - I2T Retrieval: 0.8830 @ R1, 0.9860 @ R5, 0.9950 @ R10
02/14/2022 09:55:58 - INFO - =====> Start epoch 14:
02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:55:59 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 09:57:07 - INFO - Epoch: [14], step: [100], lr: 0.000011, batch_loss: 0.0026, avg_loss: 0.0107
02/14/2022 09:58:14 - INFO - Epoch: [14], step: [200], lr: 0.000011, batch_loss: 0.0006, avg_loss: 0.0111
02/14/2022 09:59:20 - INFO - Epoch: [14], step: [300], lr: 0.000011, batch_loss: 0.0021, avg_loss: 0.0102
02/14/2022 10:00:26 - INFO - Epoch: [14], step: [400], lr: 0.000011, batch_loss: 0.0026, avg_loss: 0.0099
02/14/2022 10:01:32 - INFO - Epoch: [14], step: [500], lr: 0.000011, batch_loss: 0.0776, avg_loss: 0.0097
02/14/2022 10:02:38 - INFO - Epoch: [14], step: [600], lr: 0.000011, batch_loss: 0.0040, avg_loss: 0.0096
02/14/2022 10:03:44 - INFO - Epoch: [14], step: [700], lr: 0.000011, batch_loss: 0.0012, avg_loss: 0.0102
02/14/2022 10:04:50 - INFO - Epoch: [14], step: [800], lr: 0.000011, batch_loss: 0.0016, avg_loss: 0.0101
02/14/2022 10:05:56 - INFO - Epoch: [14], step: [900], lr: 0.000011, batch_loss: 0.0006, avg_loss: 0.0102
02/14/2022 10:07:02 - INFO - Epoch: [14], step: [1000], lr: 0.000011, batch_loss: 0.0017, avg_loss: 0.0103
02/14/2022 10:08:08 - INFO - Epoch: [14], step: [1100], lr: 0.000011, batch_loss: 0.0012, avg_loss: 0.0101
02/14/2022 10:09:14 - INFO - Epoch: [14], step: [1200], lr: 0.000011, batch_loss: 0.0020, avg_loss: 0.0101
02/14/2022 10:10:19 - INFO - Epoch: [14], step: [1300], lr: 0.000011, batch_loss: 0.0016, avg_loss: 0.0103
02/14/2022 10:11:26 - INFO - Epoch: [14], step: [1400], lr: 0.000011, batch_loss: 0.0960, avg_loss: 0.0100
02/14/2022 10:12:32 - INFO - Epoch: [14], step: [1500], lr: 0.000011, batch_loss: 0.0031, avg_loss: 0.0099
02/14/2022 10:13:38 - INFO - Epoch: [14], step: [1600], lr: 0.000011, batch_loss: 0.0008, avg_loss: 0.0099
02/14/2022 10:14:44 - INFO - Epoch: [14], step: [1700], lr: 0.000011, batch_loss: 0.0010, avg_loss: 0.0103
02/14/2022 10:15:49 - INFO - Epoch: [14], step: [1800], lr: 0.000011, batch_loss: 0.0015, avg_loss: 0.0104
02/14/2022 10:16:55 - INFO - Epoch: [14], step: [1900], lr: 0.000011, batch_loss: 0.0020, avg_loss: 0.0102
02/14/2022 10:18:01 - INFO - Epoch: [14], step: [2000], lr: 0.000011, batch_loss: 0.0004, avg_loss: 0.0101
02/14/2022 10:19:07 - INFO - Epoch: [14], step: [2100], lr: 0.000011, batch_loss: 0.0008, avg_loss: 0.0102
02/14/2022 10:20:13 - INFO - Epoch: [14], step: [2200], lr: 0.000011, batch_loss: 0.0006, avg_loss: 0.0102
02/14/2022 10:21:19 - INFO - Epoch: [14], step: [2300], lr: 0.000011, batch_loss: 0.0016, avg_loss: 0.0102
02/14/2022 10:22:25 - INFO - Epoch: [14], step: [2400], lr: 0.000011, batch_loss: 0.0030, avg_loss: 0.0103
02/14/2022 10:23:30 - INFO - Epoch: [14], step: [2500], lr: 0.000011, batch_loss: 0.0013, avg_loss: 0.0103
02/14/2022 10:24:36 - INFO - Epoch: [14], step: [2600], lr: 0.000011, batch_loss: 0.1080, avg_loss: 0.0104
02/14/2022 10:25:43 - INFO - Epoch: [14], step: [2700], lr: 0.000011, batch_loss: 0.0011, avg_loss: 0.0103
02/14/2022 10:26:48 - INFO - Epoch: [14], step: [2800], lr: 0.000011, batch_loss: 0.0010, avg_loss: 0.0103
02/14/2022 10:27:54 - INFO - Epoch: [14], step: [2900], lr: 0.000011, batch_loss: 0.0008, avg_loss: 0.0103
02/14/2022 10:29:00 - INFO - Epoch: [14], step: [3000], lr: 0.000011, batch_loss: 0.0008, avg_loss: 0.0102
02/14/2022 10:30:06 - INFO - Epoch: [14], step: [3100], lr: 0.000011, batch_loss: 0.0033, avg_loss: 0.0103
02/14/2022 10:31:12 - INFO - Epoch: [14], step: [3200], lr: 0.000011, batch_loss: 0.0014, avg_loss: 0.0103
02/14/2022 10:32:18 - INFO - Epoch: [14], step: [3300], lr: 0.000011, batch_loss: 0.0014, avg_loss: 0.0104
02/14/2022 10:33:24 - INFO - Epoch: [14], step: [3400], lr: 0.000011, batch_loss: 0.0067, avg_loss: 0.0104
02/14/2022 10:34:30 - INFO - Epoch: [14], step: [3500], lr: 0.000011, batch_loss: 0.0016, avg_loss: 0.0104
02/14/2022 10:35:36 - INFO - Epoch: [14], step: [3600], lr: 0.000011, batch_loss: 0.0005, avg_loss: 0.0104
02/14/2022 10:36:42 - INFO - Epoch: [14], step: [3700], lr: 0.000011, batch_loss: 0.0010, avg_loss: 0.0103
02/14/2022 10:37:47 - INFO - Epoch: [14], step: [3800], lr: 0.000011, batch_loss: 0.0035, avg_loss: 0.0104
02/14/2022 10:38:53 - INFO - Epoch: [14], step: [3900], lr: 0.000011, batch_loss: 0.0016, avg_loss: 0.0103
02/14/2022 10:39:59 - INFO - Epoch: [14], step: [4000], lr: 0.000011, batch_loss: 0.0045, avg_loss: 0.0103
02/14/2022 10:41:05 - INFO - Epoch: [14], step: [4100], lr: 0.000011, batch_loss: 0.0013, avg_loss: 0.0104
02/14/2022 10:42:11 - INFO - Epoch: [14], step: [4200], lr: 0.000011, batch_loss: 0.0012, avg_loss: 0.0104
02/14/2022 10:43:17 - INFO - Epoch: [14], step: [4300], lr: 0.000011, batch_loss: 0.0019, avg_loss: 0.0105
02/14/2022 10:44:23 - INFO - Epoch: [14], step: [4400], lr: 0.000011, batch_loss: 0.0265, avg_loss: 0.0105
02/14/2022 10:44:39 - INFO - ** ** Epoch [14] done! Training loss: 0.01043 ** **
02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:44:40 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:45:35 - INFO - ** * ** Eval at Epoch [14]! Eval Reults: ** * **
02/14/2022 10:45:35 - INFO - I2T Retrieval: 0.8700 @ R1, 0.9850 @ R5, 0.9940 @ R10
02/14/2022 10:45:35 - INFO - =====> Start epoch 15:
02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx02/14/2022 10:45:36 - INFO - Loading line idx from data/model_0060000/features.lineidx
02/14/2022 10:46:43 - INFO - Epoch: [15], step: [100], lr: 0.000011, batch_loss: 0.0034, avg_loss: 0.0105
02/14/2022 10:47:49 - INFO - Epoch: [15], step: [200], lr: 0.000011, batch_loss: 0.0005, avg_loss: 0.0101
02/14/2022 10:48:55 - INFO - Epoch: [15], step: [300], lr: 0.000011, batch_loss: 0.0159, avg_loss: 0.0110
02/14/2022 10:50:01 - INFO - Epoch: [15], step: [400], lr: 0.000011, batch_loss: 0.0044, avg_loss: 0.0106
02/14/2022 10:51:08 - INFO - Epoch: [15], step: [500], lr: 0.000011, batch_loss: 0.0021, avg_loss: 0.0101
02/14/2022 10:52:14 - INFO - Epoch: [15], step: [600], lr: 0.000011, batch_loss: 0.0025, avg_loss: 0.0097
02/14/2022 10:53:20 - INFO - Epoch: [15], step: [700], lr: 0.000011, batch_loss: 0.0732, avg_loss: 0.0104
02/14/2022 10:54:26 - INFO - Epoch: [15], step: [800], lr: 0.000011, batch_loss: 0.0012, avg_loss: 0.0105
02/14/2022 10:55:32 - INFO - Epoch: [15], step: [900], lr: 0.000011, batch_loss: 0.0011, avg_loss: 0.0106
02/14/2022 10:56:38 - INFO - Epoch: [15], step: [1000], lr: 0.000011, batch_loss: 0.0038, avg_loss: 0.0107
02/14/2022 10:57:44 - INFO - Epoch: [15], step: [1100], lr: 0.000011, batch_loss: 0.0259, avg_loss: 0.0108
02/14/2022 10:58:50 - INFO - Epoch: [15], step: [1200], lr: 0.000010, batch_loss: 0.0110, avg_loss: 0.0105
02/14/2022 10:59:56 - INFO - Epoch: [15], step: [1300], lr: 0.000010, batch_loss: 0.0180, avg_loss: 0.0105
02/14/2022 11:01:02 - INFO - Epoch: [15], step: [1400], lr: 0.000010, batch_loss: 0.0570, avg_loss: 0.0106
02/14/2022 11:02:08 - INFO - Epoch: [15], step: [1500], lr: 0.000010, batch_loss: 0.0904, avg_loss: 0.0108
02/14/2022 11:03:14 - INFO - Epoch: [15], step: [1600], lr: 0.000010, batch_loss: 0.0007, avg_loss: 0.0106
02/14/2022 11:04:20 - INFO - Epoch: [15], step: [1700], lr: 0.000010, batch_loss: 0.0010, avg_loss: 0.0106
02/14/2022 11:05:26 - INFO - Epoch: [15], step: [1800], lr: 0.000010, batch_loss: 0.0013, avg_loss: 0.0107
02/14/2022 11:06:32 - INFO - Epoch: [15], step: [1900], lr: 0.000010, batch_loss: 0.0008, avg_loss: 0.0106
02/14/2022 11:07:38 - INFO - Epoch: [15], step: [2000], lr: 0.000010, batch_loss: 0.0026, avg_loss: 0.0107
02/14/2022 11:08:44 - INFO - Epoch: [15], step: [2100], lr: 0.000010, batch_loss: 0.1107, avg_loss: 0.0108
02/14/2022 11:09:50 - INFO - Epoch: [15], step: [2200], lr: 0.000010, batch_loss: 0.0010, avg_loss: 0.0108
02/14/2022 11:10:56 - INFO - Epoch: [15], step: [2300], lr: 0.000010, batch_loss: 0.0006, avg_loss: 0.0108
02/14/2022 11:12:02 - INFO - Epoch: [15], step: [2400], lr: 0.000010, batch_loss: 0.0095, avg_loss: 0.0108
02/14/2022 11:13:08 - INFO - Epoch: [15], step: [2500], lr: 0.000010, batch_loss: 0.0009, avg_loss: 0.0107
02/14/2022 11:14:14 - INFO - Epoch: [15], step: [2600], lr: 0.000010, batch_loss: 0.0024, avg_loss: 0.0108
02/14/2022 11:15:20 - INFO - Epoch: [15], step: [2700], lr: 0.000010, batch_loss: 0.0015, avg_loss: 0.0107
02/14/2022 11:16:25 - INFO - Epoch: [15], step: [2800], lr: 0.000010, batch_loss: 0.0010, avg_loss: 0.0107
02/14/2022 11:17:31 - INFO - Epoch: [15], step: [2900], lr: 0.000010, batch_loss: 0.0089, avg_loss: 0.0107
02/14/2022 11:18:38 - INFO - Epoch: [15], step: [3000], lr: 0.000010, batch_loss: 0.0015, avg_loss: 0.0107