-
Notifications
You must be signed in to change notification settings - Fork 7
/
Copy pathOct-20-2023_03-30-29.log
456 lines (450 loc) · 28.9 KB
/
Oct-20-2023_03-30-29.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
Fri 20 Oct 2023 03:30:29 INFO
General Hyper Parameters:
gpu_id = 0
use_gpu = True
seed = 2020
state = INFO
reproducibility = True
data_path = dataset/downstream/Instruments_mm_full
checkpoint_dir = saved
show_progress = True
save_dataset = False
dataset_save_path = None
save_dataloaders = False
dataloaders_save_path = None
log_wandb = False
Training Hyper Parameters:
epochs = 300
train_batch_size = 512
learner = adam
learning_rate = 0.001
neg_sampling = None
eval_step = 1
stopping_step = 10
clip_grad_norm = None
weight_decay = 0.0
loss_decimal_place = 4
Evaluation Hyper Parameters:
eval_args = {'split': {'LS': 'valid_and_test'}, 'order': 'TO', 'mode': 'full', 'group_by': 'user'}
repeatable = True
metrics = ['HIT', 'NDCG']
topk = [10, 50]
valid_metric = NDCG@10
valid_metric_bigger = True
eval_batch_size = 1024
metric_decimal_place = 4
Dataset Hyper Parameters:
field_separator =
seq_separator =
USER_ID_FIELD = user_id
ITEM_ID_FIELD = item_id
RATING_FIELD = rating
TIME_FIELD = timestamp
seq_len = None
LABEL_FIELD = label
threshold = None
NEG_PREFIX = neg_
load_col = {'inter': ['user_id', 'item_id_list', 'item_id']}
unload_col = None
unused_col = None
additional_feat_suffix = None
rm_dup_inter = None
val_interval = None
filter_inter_by_user_or_item = True
user_inter_num_interval = [0,inf)
item_inter_num_interval = [0,inf)
alias_of_user_id = None
alias_of_item_id = ['item_id_list']
alias_of_entity_id = None
alias_of_relation_id = None
preload_weight = None
normalize_field = None
normalize_all = None
ITEM_LIST_LENGTH_FIELD = item_length
LIST_SUFFIX = _list
MAX_ITEM_LIST_LENGTH = 50
POSITION_FIELD = position_id
HEAD_ENTITY_ID_FIELD = head_id
TAIL_ENTITY_ID_FIELD = tail_id
RELATION_ID_FIELD = relation_id
ENTITY_ID_FIELD = entity_id
benchmark_filename = ['train', 'valid', 'test']
Other Hyper Parameters:
wandb_project = recbole
require_pow = False
MODEL_TYPE = ModelType.SEQUENTIAL
n_layers = 2
n_heads = 4
hidden_size = 300
inner_size = 256
hidden_dropout_prob = 0.5
attn_dropout_prob = 0.5
hidden_act = gelu
layer_norm_eps = 1e-12
initializer_range = 0.02
loss_type = CE
item_drop_ratio = 0.2
item_drop_coefficient = 0.9
lambda = 0.001
gamma = 0.0001
plm_suffix = feat1CLS
plm_suffix_aug = feat2CLS
img_suffix = feat3CLS
id_type = id
modal_type = img_text
plm_size = 512
img_size = 512
temperature = 0.07
seq_mm_fusion = add
item_mm_fusion = dynamic_shared
transform = None
train_stage = transductive_ft
log_prefix = gpu6
log_suffix =
interest_ratio = 0.5
knn_local_ratio = 0.2
MODEL_INPUT_TYPE = InputType.POINTWISE
eval_type = EvaluatorType.RANKING
device = cuda
train_neg_sample_args = {'strategy': 'none'}
eval_neg_sample_args = {'strategy': 'full', 'distribution': 'uniform'}
Fri 20 Oct 2023 03:30:32 INFO Instruments_mm_full
The number of users: 24963
Average actions of users: 7.369762038298213
The number of items: 9965
Average actions of items: 18.46286631874749
The number of inters: 183964
The sparsity of the dataset: 99.92604649462238%
Remain Fields: ['user_id', 'item_id_list', 'item_id', 'item_length']
Fri 20 Oct 2023 03:30:34 INFO [Training]: train_batch_size = [512] negative sampling: [None]
Fri 20 Oct 2023 03:30:34 INFO [Evaluation]: eval_batch_size = [1024] eval_args: [{'split': {'LS': 'valid_and_test'}, 'order': 'TO', 'mode': 'full', 'group_by': 'user'}]
Fri 20 Oct 2023 03:30:36 INFO MISSRec(
(item_embedding): Embedding(9965, 300, padding_idx=0)
(position_embedding): Embedding(50, 300)
(trm_model): Transformer(
(encoder): TransformerEncoder(
(layers): ModuleList(
(0): TransformerEncoderLayer(
(self_attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=300, out_features=300, bias=True)
)
(linear1): Linear(in_features=300, out_features=256, bias=True)
(dropout): Dropout(p=0.5, inplace=False)
(linear2): Linear(in_features=256, out_features=300, bias=True)
(norm1): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
(norm2): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
(dropout1): Dropout(p=0.5, inplace=False)
(dropout2): Dropout(p=0.5, inplace=False)
)
)
(norm): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
)
(decoder): TransformerDecoder(
(layers): ModuleList(
(0): TransformerDecoderLayer(
(self_attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=300, out_features=300, bias=True)
)
(multihead_attn): MultiheadAttention(
(out_proj): NonDynamicallyQuantizableLinear(in_features=300, out_features=300, bias=True)
)
(linear1): Linear(in_features=300, out_features=256, bias=True)
(dropout): Dropout(p=0.5, inplace=False)
(linear2): Linear(in_features=256, out_features=300, bias=True)
(norm1): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
(norm2): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
(norm3): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
(dropout1): Dropout(p=0.5, inplace=False)
(dropout2): Dropout(p=0.5, inplace=False)
(dropout3): Dropout(p=0.5, inplace=False)
)
)
(norm): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
)
)
(LayerNorm): LayerNorm((300,), eps=1e-12, elementwise_affine=True)
(dropout): Dropout(p=0.5, inplace=False)
(loss_fct): CrossEntropyLoss()
(plm_embedding): Embedding(9965, 512, padding_idx=0)
(img_embedding): Embedding(9965, 512, padding_idx=0)
(text_adaptor): Linear(in_features=512, out_features=300, bias=True)
(img_adaptor): Linear(in_features=512, out_features=300, bias=True)
)
Trainable parameters: 4709013.0
Fri 20 Oct 2023 03:30:36 INFO Trainable parameters: ['fusion_factor', 'item_embedding.weight', 'position_embedding.weight', 'trm_model.encoder.layers.0.self_attn.in_proj_weight', 'trm_model.encoder.layers.0.self_attn.in_proj_bias', 'trm_model.encoder.layers.0.self_attn.out_proj.weight', 'trm_model.encoder.layers.0.self_attn.out_proj.bias', 'trm_model.encoder.layers.0.linear1.weight', 'trm_model.encoder.layers.0.linear1.bias', 'trm_model.encoder.layers.0.linear2.weight', 'trm_model.encoder.layers.0.linear2.bias', 'trm_model.encoder.layers.0.norm1.weight', 'trm_model.encoder.layers.0.norm1.bias', 'trm_model.encoder.layers.0.norm2.weight', 'trm_model.encoder.layers.0.norm2.bias', 'trm_model.encoder.norm.weight', 'trm_model.encoder.norm.bias', 'trm_model.decoder.layers.0.self_attn.in_proj_weight', 'trm_model.decoder.layers.0.self_attn.in_proj_bias', 'trm_model.decoder.layers.0.self_attn.out_proj.weight', 'trm_model.decoder.layers.0.self_attn.out_proj.bias', 'trm_model.decoder.layers.0.multihead_attn.in_proj_weight', 'trm_model.decoder.layers.0.multihead_attn.in_proj_bias', 'trm_model.decoder.layers.0.multihead_attn.out_proj.weight', 'trm_model.decoder.layers.0.multihead_attn.out_proj.bias', 'trm_model.decoder.layers.0.linear1.weight', 'trm_model.decoder.layers.0.linear1.bias', 'trm_model.decoder.layers.0.linear2.weight', 'trm_model.decoder.layers.0.linear2.bias', 'trm_model.decoder.layers.0.norm1.weight', 'trm_model.decoder.layers.0.norm1.bias', 'trm_model.decoder.layers.0.norm2.weight', 'trm_model.decoder.layers.0.norm2.bias', 'trm_model.decoder.layers.0.norm3.weight', 'trm_model.decoder.layers.0.norm3.bias', 'trm_model.decoder.norm.weight', 'trm_model.decoder.norm.bias', 'LayerNorm.weight', 'LayerNorm.bias', 'text_adaptor.weight', 'text_adaptor.bias', 'img_adaptor.weight', 'img_adaptor.bias']
Fri 20 Oct 2023 03:30:37 INFO Discovering multi-modal user interest before 0-th epoch
Fri 20 Oct 2023 03:30:39 INFO Finish multi-modal interest discovery before 0-th epoch
Fri 20 Oct 2023 03:30:56 INFO epoch 0 training [time: 19.14s, train loss: 2071.2211]
Fri 20 Oct 2023 03:30:58 INFO epoch 0 evaluating [time: 1.94s, valid_score: 0.077800]
Fri 20 Oct 2023 03:30:58 INFO valid result:
hit@10 : 0.1291 hit@50 : 0.2322 ndcg@10 : 0.0778 ndcg@50 : 0.0997
Fri 20 Oct 2023 03:30:58 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:30:58 INFO Discovering multi-modal user interest before 1-th epoch
Fri 20 Oct 2023 03:30:58 INFO Finish multi-modal interest discovery before 1-th epoch
Fri 20 Oct 2023 03:31:15 INFO epoch 1 training [time: 16.79s, train loss: 1989.4186]
Fri 20 Oct 2023 03:31:17 INFO epoch 1 evaluating [time: 2.15s, valid_score: 0.082100]
Fri 20 Oct 2023 03:31:17 INFO valid result:
hit@10 : 0.138 hit@50 : 0.2426 ndcg@10 : 0.0821 ndcg@50 : 0.1045
Fri 20 Oct 2023 03:31:18 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:31:18 INFO Discovering multi-modal user interest before 2-th epoch
Fri 20 Oct 2023 03:31:18 INFO Finish multi-modal interest discovery before 2-th epoch
Fri 20 Oct 2023 03:31:35 INFO epoch 2 training [time: 17.33s, train loss: 1956.1574]
Fri 20 Oct 2023 03:31:37 INFO epoch 2 evaluating [time: 1.94s, valid_score: 0.083800]
Fri 20 Oct 2023 03:31:37 INFO valid result:
hit@10 : 0.1427 hit@50 : 0.2519 ndcg@10 : 0.0838 ndcg@50 : 0.107
Fri 20 Oct 2023 03:31:38 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:31:38 INFO Discovering multi-modal user interest before 3-th epoch
Fri 20 Oct 2023 03:31:38 INFO Finish multi-modal interest discovery before 3-th epoch
Fri 20 Oct 2023 03:31:54 INFO epoch 3 training [time: 16.73s, train loss: 1932.7152]
Fri 20 Oct 2023 03:31:56 INFO epoch 3 evaluating [time: 1.98s, valid_score: 0.089100]
Fri 20 Oct 2023 03:31:56 INFO valid result:
hit@10 : 0.1442 hit@50 : 0.2539 ndcg@10 : 0.0891 ndcg@50 : 0.1124
Fri 20 Oct 2023 03:31:57 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:31:57 INFO Discovering multi-modal user interest before 4-th epoch
Fri 20 Oct 2023 03:31:57 INFO Finish multi-modal interest discovery before 4-th epoch
Fri 20 Oct 2023 03:32:13 INFO epoch 4 training [time: 16.29s, train loss: 1915.6846]
Fri 20 Oct 2023 03:32:15 INFO epoch 4 evaluating [time: 1.98s, valid_score: 0.089800]
Fri 20 Oct 2023 03:32:15 INFO valid result:
hit@10 : 0.1454 hit@50 : 0.2529 ndcg@10 : 0.0898 ndcg@50 : 0.1127
Fri 20 Oct 2023 03:32:16 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:32:16 INFO Discovering multi-modal user interest before 5-th epoch
Fri 20 Oct 2023 03:32:16 INFO Finish multi-modal interest discovery before 5-th epoch
Fri 20 Oct 2023 03:32:32 INFO epoch 5 training [time: 16.38s, train loss: 1901.4317]
Fri 20 Oct 2023 03:32:34 INFO epoch 5 evaluating [time: 1.98s, valid_score: 0.089900]
Fri 20 Oct 2023 03:32:34 INFO valid result:
hit@10 : 0.1465 hit@50 : 0.2559 ndcg@10 : 0.0899 ndcg@50 : 0.1133
Fri 20 Oct 2023 03:32:35 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:32:35 INFO Discovering multi-modal user interest before 6-th epoch
Fri 20 Oct 2023 03:32:35 INFO Finish multi-modal interest discovery before 6-th epoch
Fri 20 Oct 2023 03:32:52 INFO epoch 6 training [time: 17.11s, train loss: 1889.0655]
Fri 20 Oct 2023 03:32:54 INFO epoch 6 evaluating [time: 1.94s, valid_score: 0.093200]
Fri 20 Oct 2023 03:32:54 INFO valid result:
hit@10 : 0.1473 hit@50 : 0.2611 ndcg@10 : 0.0932 ndcg@50 : 0.1175
Fri 20 Oct 2023 03:32:54 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:32:54 INFO Discovering multi-modal user interest before 7-th epoch
Fri 20 Oct 2023 03:32:54 INFO Finish multi-modal interest discovery before 7-th epoch
Fri 20 Oct 2023 03:33:10 INFO epoch 7 training [time: 16.03s, train loss: 1879.3327]
Fri 20 Oct 2023 03:33:12 INFO epoch 7 evaluating [time: 1.93s, valid_score: 0.093900]
Fri 20 Oct 2023 03:33:12 INFO valid result:
hit@10 : 0.1485 hit@50 : 0.2619 ndcg@10 : 0.0939 ndcg@50 : 0.118
Fri 20 Oct 2023 03:33:13 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:33:13 INFO Discovering multi-modal user interest before 8-th epoch
Fri 20 Oct 2023 03:33:13 INFO Finish multi-modal interest discovery before 8-th epoch
Fri 20 Oct 2023 03:33:30 INFO epoch 8 training [time: 16.95s, train loss: 1869.7261]
Fri 20 Oct 2023 03:33:32 INFO epoch 8 evaluating [time: 1.93s, valid_score: 0.094900]
Fri 20 Oct 2023 03:33:32 INFO valid result:
hit@10 : 0.1512 hit@50 : 0.2622 ndcg@10 : 0.0949 ndcg@50 : 0.1185
Fri 20 Oct 2023 03:33:32 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:33:32 INFO Discovering multi-modal user interest before 9-th epoch
Fri 20 Oct 2023 03:33:32 INFO Finish multi-modal interest discovery before 9-th epoch
Fri 20 Oct 2023 03:33:49 INFO epoch 9 training [time: 16.63s, train loss: 1862.4486]
Fri 20 Oct 2023 03:33:51 INFO epoch 9 evaluating [time: 2.16s, valid_score: 0.095100]
Fri 20 Oct 2023 03:33:51 INFO valid result:
hit@10 : 0.1518 hit@50 : 0.2648 ndcg@10 : 0.0951 ndcg@50 : 0.1192
Fri 20 Oct 2023 03:33:52 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:33:52 INFO Discovering multi-modal user interest before 10-th epoch
Fri 20 Oct 2023 03:33:52 INFO Finish multi-modal interest discovery before 10-th epoch
Fri 20 Oct 2023 03:34:08 INFO epoch 10 training [time: 16.38s, train loss: 1856.4846]
Fri 20 Oct 2023 03:34:10 INFO epoch 10 evaluating [time: 2.01s, valid_score: 0.095700]
Fri 20 Oct 2023 03:34:10 INFO valid result:
hit@10 : 0.1514 hit@50 : 0.2655 ndcg@10 : 0.0957 ndcg@50 : 0.1199
Fri 20 Oct 2023 03:34:10 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:34:10 INFO Discovering multi-modal user interest before 11-th epoch
Fri 20 Oct 2023 03:34:10 INFO Finish multi-modal interest discovery before 11-th epoch
Fri 20 Oct 2023 03:34:26 INFO epoch 11 training [time: 16.06s, train loss: 1850.5445]
Fri 20 Oct 2023 03:34:28 INFO epoch 11 evaluating [time: 1.91s, valid_score: 0.096500]
Fri 20 Oct 2023 03:34:28 INFO valid result:
hit@10 : 0.1508 hit@50 : 0.2656 ndcg@10 : 0.0965 ndcg@50 : 0.121
Fri 20 Oct 2023 03:34:29 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:34:29 INFO Discovering multi-modal user interest before 12-th epoch
Fri 20 Oct 2023 03:34:29 INFO Finish multi-modal interest discovery before 12-th epoch
Fri 20 Oct 2023 03:34:46 INFO epoch 12 training [time: 16.76s, train loss: 1845.7175]
Fri 20 Oct 2023 03:34:48 INFO epoch 12 evaluating [time: 1.95s, valid_score: 0.095500]
Fri 20 Oct 2023 03:34:48 INFO valid result:
hit@10 : 0.1504 hit@50 : 0.265 ndcg@10 : 0.0955 ndcg@50 : 0.12
Fri 20 Oct 2023 03:34:48 INFO Discovering multi-modal user interest before 13-th epoch
Fri 20 Oct 2023 03:34:48 INFO Finish multi-modal interest discovery before 13-th epoch
Fri 20 Oct 2023 03:35:05 INFO epoch 13 training [time: 16.88s, train loss: 1841.6195]
Fri 20 Oct 2023 03:35:06 INFO epoch 13 evaluating [time: 1.95s, valid_score: 0.096900]
Fri 20 Oct 2023 03:35:06 INFO valid result:
hit@10 : 0.1521 hit@50 : 0.2677 ndcg@10 : 0.0969 ndcg@50 : 0.1215
Fri 20 Oct 2023 03:35:07 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:35:07 INFO Discovering multi-modal user interest before 14-th epoch
Fri 20 Oct 2023 03:35:07 INFO Finish multi-modal interest discovery before 14-th epoch
Fri 20 Oct 2023 03:35:23 INFO epoch 14 training [time: 16.46s, train loss: 1836.9825]
Fri 20 Oct 2023 03:35:25 INFO epoch 14 evaluating [time: 2.04s, valid_score: 0.098000]
Fri 20 Oct 2023 03:35:25 INFO valid result:
hit@10 : 0.1522 hit@50 : 0.2666 ndcg@10 : 0.098 ndcg@50 : 0.1225
Fri 20 Oct 2023 03:35:26 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:35:26 INFO Discovering multi-modal user interest before 15-th epoch
Fri 20 Oct 2023 03:35:26 INFO Finish multi-modal interest discovery before 15-th epoch
Fri 20 Oct 2023 03:35:44 INFO epoch 15 training [time: 17.57s, train loss: 1833.6593]
Fri 20 Oct 2023 03:35:46 INFO epoch 15 evaluating [time: 2.16s, valid_score: 0.098200]
Fri 20 Oct 2023 03:35:46 INFO valid result:
hit@10 : 0.1536 hit@50 : 0.2674 ndcg@10 : 0.0982 ndcg@50 : 0.1225
Fri 20 Oct 2023 03:35:46 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:35:46 INFO Discovering multi-modal user interest before 16-th epoch
Fri 20 Oct 2023 03:35:46 INFO Finish multi-modal interest discovery before 16-th epoch
Fri 20 Oct 2023 03:36:03 INFO epoch 16 training [time: 16.78s, train loss: 1829.4407]
Fri 20 Oct 2023 03:36:05 INFO epoch 16 evaluating [time: 1.95s, valid_score: 0.098300]
Fri 20 Oct 2023 03:36:05 INFO valid result:
hit@10 : 0.1534 hit@50 : 0.2682 ndcg@10 : 0.0983 ndcg@50 : 0.1228
Fri 20 Oct 2023 03:36:06 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:36:06 INFO Discovering multi-modal user interest before 17-th epoch
Fri 20 Oct 2023 03:36:06 INFO Finish multi-modal interest discovery before 17-th epoch
Fri 20 Oct 2023 03:36:22 INFO epoch 17 training [time: 15.94s, train loss: 1826.6017]
Fri 20 Oct 2023 03:36:24 INFO epoch 17 evaluating [time: 1.90s, valid_score: 0.097600]
Fri 20 Oct 2023 03:36:24 INFO valid result:
hit@10 : 0.1517 hit@50 : 0.266 ndcg@10 : 0.0976 ndcg@50 : 0.122
Fri 20 Oct 2023 03:36:24 INFO Discovering multi-modal user interest before 18-th epoch
Fri 20 Oct 2023 03:36:24 INFO Finish multi-modal interest discovery before 18-th epoch
Fri 20 Oct 2023 03:36:40 INFO epoch 18 training [time: 16.80s, train loss: 1823.8672]
Fri 20 Oct 2023 03:36:42 INFO epoch 18 evaluating [time: 2.14s, valid_score: 0.098200]
Fri 20 Oct 2023 03:36:42 INFO valid result:
hit@10 : 0.1538 hit@50 : 0.269 ndcg@10 : 0.0982 ndcg@50 : 0.1228
Fri 20 Oct 2023 03:36:42 INFO Discovering multi-modal user interest before 19-th epoch
Fri 20 Oct 2023 03:36:42 INFO Finish multi-modal interest discovery before 19-th epoch
Fri 20 Oct 2023 03:37:00 INFO epoch 19 training [time: 17.51s, train loss: 1821.1314]
Fri 20 Oct 2023 03:37:02 INFO epoch 19 evaluating [time: 2.05s, valid_score: 0.099300]
Fri 20 Oct 2023 03:37:02 INFO valid result:
hit@10 : 0.1536 hit@50 : 0.272 ndcg@10 : 0.0993 ndcg@50 : 0.1245
Fri 20 Oct 2023 03:37:03 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:37:03 INFO Discovering multi-modal user interest before 20-th epoch
Fri 20 Oct 2023 03:37:03 INFO Finish multi-modal interest discovery before 20-th epoch
Fri 20 Oct 2023 03:37:19 INFO epoch 20 training [time: 16.90s, train loss: 1819.0338]
Fri 20 Oct 2023 03:37:21 INFO epoch 20 evaluating [time: 2.03s, valid_score: 0.098600]
Fri 20 Oct 2023 03:37:21 INFO valid result:
hit@10 : 0.1528 hit@50 : 0.2689 ndcg@10 : 0.0986 ndcg@50 : 0.1235
Fri 20 Oct 2023 03:37:21 INFO Discovering multi-modal user interest before 21-th epoch
Fri 20 Oct 2023 03:37:21 INFO Finish multi-modal interest discovery before 21-th epoch
Fri 20 Oct 2023 03:37:38 INFO epoch 21 training [time: 16.80s, train loss: 1815.7191]
Fri 20 Oct 2023 03:37:40 INFO epoch 21 evaluating [time: 2.13s, valid_score: 0.097800]
Fri 20 Oct 2023 03:37:40 INFO valid result:
hit@10 : 0.1514 hit@50 : 0.266 ndcg@10 : 0.0978 ndcg@50 : 0.1223
Fri 20 Oct 2023 03:37:40 INFO Discovering multi-modal user interest before 22-th epoch
Fri 20 Oct 2023 03:37:40 INFO Finish multi-modal interest discovery before 22-th epoch
Fri 20 Oct 2023 03:37:57 INFO epoch 22 training [time: 17.02s, train loss: 1814.1787]
Fri 20 Oct 2023 03:37:59 INFO epoch 22 evaluating [time: 2.04s, valid_score: 0.097900]
Fri 20 Oct 2023 03:37:59 INFO valid result:
hit@10 : 0.1513 hit@50 : 0.2674 ndcg@10 : 0.0979 ndcg@50 : 0.1227
Fri 20 Oct 2023 03:37:59 INFO Discovering multi-modal user interest before 23-th epoch
Fri 20 Oct 2023 03:37:59 INFO Finish multi-modal interest discovery before 23-th epoch
Fri 20 Oct 2023 03:38:16 INFO epoch 23 training [time: 16.30s, train loss: 1811.8464]
Fri 20 Oct 2023 03:38:18 INFO epoch 23 evaluating [time: 2.02s, valid_score: 0.098900]
Fri 20 Oct 2023 03:38:18 INFO valid result:
hit@10 : 0.154 hit@50 : 0.2694 ndcg@10 : 0.0989 ndcg@50 : 0.1235
Fri 20 Oct 2023 03:38:18 INFO Discovering multi-modal user interest before 24-th epoch
Fri 20 Oct 2023 03:38:18 INFO Finish multi-modal interest discovery before 24-th epoch
Fri 20 Oct 2023 03:38:35 INFO epoch 24 training [time: 17.27s, train loss: 1809.9770]
Fri 20 Oct 2023 03:38:37 INFO epoch 24 evaluating [time: 2.00s, valid_score: 0.097900]
Fri 20 Oct 2023 03:38:37 INFO valid result:
hit@10 : 0.151 hit@50 : 0.2661 ndcg@10 : 0.0979 ndcg@50 : 0.1225
Fri 20 Oct 2023 03:38:37 INFO Discovering multi-modal user interest before 25-th epoch
Fri 20 Oct 2023 03:38:37 INFO Finish multi-modal interest discovery before 25-th epoch
Fri 20 Oct 2023 03:38:55 INFO epoch 25 training [time: 17.69s, train loss: 1807.6657]
Fri 20 Oct 2023 03:38:57 INFO epoch 25 evaluating [time: 2.00s, valid_score: 0.098300]
Fri 20 Oct 2023 03:38:57 INFO valid result:
hit@10 : 0.1523 hit@50 : 0.2696 ndcg@10 : 0.0983 ndcg@50 : 0.1234
Fri 20 Oct 2023 03:38:57 INFO Discovering multi-modal user interest before 26-th epoch
Fri 20 Oct 2023 03:38:57 INFO Finish multi-modal interest discovery before 26-th epoch
Fri 20 Oct 2023 03:39:13 INFO epoch 26 training [time: 16.75s, train loss: 1806.0053]
Fri 20 Oct 2023 03:39:15 INFO epoch 26 evaluating [time: 1.96s, valid_score: 0.099800]
Fri 20 Oct 2023 03:39:15 INFO valid result:
hit@10 : 0.1558 hit@50 : 0.2703 ndcg@10 : 0.0998 ndcg@50 : 0.1242
Fri 20 Oct 2023 03:39:16 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:39:16 INFO Discovering multi-modal user interest before 27-th epoch
Fri 20 Oct 2023 03:39:16 INFO Finish multi-modal interest discovery before 27-th epoch
Fri 20 Oct 2023 03:39:33 INFO epoch 27 training [time: 17.32s, train loss: 1804.3125]
Fri 20 Oct 2023 03:39:35 INFO epoch 27 evaluating [time: 2.16s, valid_score: 0.098000]
Fri 20 Oct 2023 03:39:35 INFO valid result:
hit@10 : 0.1535 hit@50 : 0.2672 ndcg@10 : 0.098 ndcg@50 : 0.1223
Fri 20 Oct 2023 03:39:35 INFO Discovering multi-modal user interest before 28-th epoch
Fri 20 Oct 2023 03:39:35 INFO Finish multi-modal interest discovery before 28-th epoch
Fri 20 Oct 2023 03:39:52 INFO epoch 28 training [time: 16.96s, train loss: 1802.4920]
Fri 20 Oct 2023 03:39:54 INFO epoch 28 evaluating [time: 2.04s, valid_score: 0.098700]
Fri 20 Oct 2023 03:39:54 INFO valid result:
hit@10 : 0.1531 hit@50 : 0.2693 ndcg@10 : 0.0987 ndcg@50 : 0.1235
Fri 20 Oct 2023 03:39:54 INFO Discovering multi-modal user interest before 29-th epoch
Fri 20 Oct 2023 03:39:54 INFO Finish multi-modal interest discovery before 29-th epoch
Fri 20 Oct 2023 03:40:12 INFO epoch 29 training [time: 17.52s, train loss: 1800.5825]
Fri 20 Oct 2023 03:40:14 INFO epoch 29 evaluating [time: 2.02s, valid_score: 0.098100]
Fri 20 Oct 2023 03:40:14 INFO valid result:
hit@10 : 0.1532 hit@50 : 0.2691 ndcg@10 : 0.0981 ndcg@50 : 0.1229
Fri 20 Oct 2023 03:40:14 INFO Discovering multi-modal user interest before 30-th epoch
Fri 20 Oct 2023 03:40:14 INFO Finish multi-modal interest discovery before 30-th epoch
Fri 20 Oct 2023 03:40:31 INFO epoch 30 training [time: 17.04s, train loss: 1799.7997]
Fri 20 Oct 2023 03:40:33 INFO epoch 30 evaluating [time: 2.05s, valid_score: 0.100100]
Fri 20 Oct 2023 03:40:33 INFO valid result:
hit@10 : 0.1543 hit@50 : 0.2718 ndcg@10 : 0.1001 ndcg@50 : 0.1252
Fri 20 Oct 2023 03:40:34 INFO Saving current: saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:40:34 INFO Discovering multi-modal user interest before 31-th epoch
Fri 20 Oct 2023 03:40:34 INFO Finish multi-modal interest discovery before 31-th epoch
Fri 20 Oct 2023 03:40:51 INFO epoch 31 training [time: 17.02s, train loss: 1797.6282]
Fri 20 Oct 2023 03:40:53 INFO epoch 31 evaluating [time: 1.98s, valid_score: 0.099100]
Fri 20 Oct 2023 03:40:53 INFO valid result:
hit@10 : 0.1533 hit@50 : 0.2703 ndcg@10 : 0.0991 ndcg@50 : 0.124
Fri 20 Oct 2023 03:40:53 INFO Discovering multi-modal user interest before 32-th epoch
Fri 20 Oct 2023 03:40:53 INFO Finish multi-modal interest discovery before 32-th epoch
Fri 20 Oct 2023 03:41:10 INFO epoch 32 training [time: 16.98s, train loss: 1796.1148]
Fri 20 Oct 2023 03:41:12 INFO epoch 32 evaluating [time: 2.18s, valid_score: 0.098500]
Fri 20 Oct 2023 03:41:12 INFO valid result:
hit@10 : 0.1523 hit@50 : 0.2698 ndcg@10 : 0.0985 ndcg@50 : 0.1235
Fri 20 Oct 2023 03:41:12 INFO Discovering multi-modal user interest before 33-th epoch
Fri 20 Oct 2023 03:41:12 INFO Finish multi-modal interest discovery before 33-th epoch
Fri 20 Oct 2023 03:41:29 INFO epoch 33 training [time: 17.00s, train loss: 1795.4589]
Fri 20 Oct 2023 03:41:31 INFO epoch 33 evaluating [time: 2.20s, valid_score: 0.098300]
Fri 20 Oct 2023 03:41:31 INFO valid result:
hit@10 : 0.1521 hit@50 : 0.2696 ndcg@10 : 0.0983 ndcg@50 : 0.1234
Fri 20 Oct 2023 03:41:31 INFO Discovering multi-modal user interest before 34-th epoch
Fri 20 Oct 2023 03:41:31 INFO Finish multi-modal interest discovery before 34-th epoch
Fri 20 Oct 2023 03:41:47 INFO epoch 34 training [time: 15.96s, train loss: 1793.3309]
Fri 20 Oct 2023 03:41:49 INFO epoch 34 evaluating [time: 1.91s, valid_score: 0.099800]
Fri 20 Oct 2023 03:41:49 INFO valid result:
hit@10 : 0.1544 hit@50 : 0.272 ndcg@10 : 0.0998 ndcg@50 : 0.1249
Fri 20 Oct 2023 03:41:49 INFO Discovering multi-modal user interest before 35-th epoch
Fri 20 Oct 2023 03:41:49 INFO Finish multi-modal interest discovery before 35-th epoch
Fri 20 Oct 2023 03:42:06 INFO epoch 35 training [time: 17.02s, train loss: 1792.1798]
Fri 20 Oct 2023 03:42:08 INFO epoch 35 evaluating [time: 1.97s, valid_score: 0.099300]
Fri 20 Oct 2023 03:42:08 INFO valid result:
hit@10 : 0.1546 hit@50 : 0.2696 ndcg@10 : 0.0993 ndcg@50 : 0.1237
Fri 20 Oct 2023 03:42:08 INFO Discovering multi-modal user interest before 36-th epoch
Fri 20 Oct 2023 03:42:08 INFO Finish multi-modal interest discovery before 36-th epoch
Fri 20 Oct 2023 03:42:24 INFO epoch 36 training [time: 16.46s, train loss: 1790.5461]
Fri 20 Oct 2023 03:42:26 INFO epoch 36 evaluating [time: 1.94s, valid_score: 0.099600]
Fri 20 Oct 2023 03:42:26 INFO valid result:
hit@10 : 0.1546 hit@50 : 0.2723 ndcg@10 : 0.0996 ndcg@50 : 0.1248
Fri 20 Oct 2023 03:42:26 INFO Discovering multi-modal user interest before 37-th epoch
Fri 20 Oct 2023 03:42:26 INFO Finish multi-modal interest discovery before 37-th epoch
Fri 20 Oct 2023 03:42:43 INFO epoch 37 training [time: 17.01s, train loss: 1788.5982]
Fri 20 Oct 2023 03:42:45 INFO epoch 37 evaluating [time: 2.05s, valid_score: 0.099200]
Fri 20 Oct 2023 03:42:45 INFO valid result:
hit@10 : 0.153 hit@50 : 0.2697 ndcg@10 : 0.0992 ndcg@50 : 0.1242
Fri 20 Oct 2023 03:42:45 INFO Discovering multi-modal user interest before 38-th epoch
Fri 20 Oct 2023 03:42:45 INFO Finish multi-modal interest discovery before 38-th epoch
Fri 20 Oct 2023 03:43:03 INFO epoch 38 training [time: 17.26s, train loss: 1787.1152]
Fri 20 Oct 2023 03:43:05 INFO epoch 38 evaluating [time: 2.03s, valid_score: 0.099000]
Fri 20 Oct 2023 03:43:05 INFO valid result:
hit@10 : 0.1528 hit@50 : 0.2706 ndcg@10 : 0.099 ndcg@50 : 0.1242
Fri 20 Oct 2023 03:43:05 INFO Discovering multi-modal user interest before 39-th epoch
Fri 20 Oct 2023 03:43:05 INFO Finish multi-modal interest discovery before 39-th epoch
Fri 20 Oct 2023 03:43:22 INFO epoch 39 training [time: 16.85s, train loss: 1785.3733]
Fri 20 Oct 2023 03:43:24 INFO epoch 39 evaluating [time: 1.97s, valid_score: 0.098900]
Fri 20 Oct 2023 03:43:24 INFO valid result:
hit@10 : 0.1539 hit@50 : 0.2706 ndcg@10 : 0.0989 ndcg@50 : 0.1238
Fri 20 Oct 2023 03:43:24 INFO Discovering multi-modal user interest before 40-th epoch
Fri 20 Oct 2023 03:43:24 INFO Finish multi-modal interest discovery before 40-th epoch
Fri 20 Oct 2023 03:43:41 INFO epoch 40 training [time: 17.32s, train loss: 1784.9621]
Fri 20 Oct 2023 03:43:43 INFO epoch 40 evaluating [time: 1.94s, valid_score: 0.099600]
Fri 20 Oct 2023 03:43:43 INFO valid result:
hit@10 : 0.1552 hit@50 : 0.2742 ndcg@10 : 0.0996 ndcg@50 : 0.125
Fri 20 Oct 2023 03:43:43 INFO Discovering multi-modal user interest before 41-th epoch
Fri 20 Oct 2023 03:43:43 INFO Finish multi-modal interest discovery before 41-th epoch
Fri 20 Oct 2023 03:44:00 INFO epoch 41 training [time: 16.99s, train loss: 1783.0528]
Fri 20 Oct 2023 03:44:02 INFO epoch 41 evaluating [time: 2.14s, valid_score: 0.099600]
Fri 20 Oct 2023 03:44:02 INFO valid result:
hit@10 : 0.1552 hit@50 : 0.2713 ndcg@10 : 0.0996 ndcg@50 : 0.1244
Fri 20 Oct 2023 03:44:02 INFO Finished training, best eval result in epoch 30
Fri 20 Oct 2023 03:44:02 INFO Loading model structure and parameters from saved/MISSRec-Oct-20-2023_03-30-37.pth
Fri 20 Oct 2023 03:44:04 INFO best valid : OrderedDict([('hit@10', 0.1543), ('hit@50', 0.2718), ('ndcg@10', 0.1001), ('ndcg@50', 0.1252)])
Fri 20 Oct 2023 03:44:04 INFO test result: OrderedDict([('hit@10', 0.1292), ('hit@50', 0.2369), ('ndcg@10', 0.0842), ('ndcg@50', 0.1072)])
Fri 20 Oct 2023 03:44:04 INFO Write log to /data/wangjinpeng/MISSRec_clear/log/MISSRec_gpu6/Oct-20-2023_03-30-29_.log