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Oct-20-2023_03-23-36.log
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Fri 20 Oct 2023 03:23:36 INFO
General Hyper Parameters:
gpu_id = 0
use_gpu = True
seed = 2020
state = INFO
reproducibility = True
data_path = dataset/downstream/Pantry_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 03:23:38 INFO Pantry_mm_full
The number of users: 13102
Average actions of users: 8.691015952980688
The number of items: 4899
Average actions of items: 23.24642711310739
The number of inters: 113861
The sparsity of the dataset: 99.82260966283076%
Remain Fields: ['user_id', 'item_id_list', 'item_id', 'item_length']
Fri 20 Oct 2023 03:23:39 INFO [Training]: train_batch_size = [512] negative sampling: [None]
Fri 20 Oct 2023 03:23:39 INFO [Evaluation]: eval_batch_size = [1024] eval_args: [{'split': {'LS': 'valid_and_test'}, 'order': 'TO', 'mode': 'full', 'group_by': 'user'}]
Fri 20 Oct 2023 03:23:41 INFO MISSRec(
(item_embedding): Embedding(4899, 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(4899, 512, padding_idx=0)
(img_embedding): Embedding(4899, 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: 3189213.0
Fri 20 Oct 2023 03:23:41 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 03:23:43 INFO Discovering multi-modal user interest before 0-th epoch
Fri 20 Oct 2023 03:23:45 INFO Finish multi-modal interest discovery before 0-th epoch
Fri 20 Oct 2023 03:23:55 INFO epoch 0 training [time: 11.97s, train loss: 1364.9691]
Fri 20 Oct 2023 03:23:56 INFO epoch 0 evaluating [time: 0.95s, valid_score: 0.024200]
Fri 20 Oct 2023 03:23:56 INFO valid result:
hit@10 : 0.0504 hit@50 : 0.146 ndcg@10 : 0.0242 ndcg@50 : 0.0443
Fri 20 Oct 2023 03:23:56 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:23:56 INFO Discovering multi-modal user interest before 1-th epoch
Fri 20 Oct 2023 03:23:56 INFO Finish multi-modal interest discovery before 1-th epoch
Fri 20 Oct 2023 03:24:06 INFO epoch 1 training [time: 9.97s, train loss: 1325.4499]
Fri 20 Oct 2023 03:24:07 INFO epoch 1 evaluating [time: 0.96s, valid_score: 0.028100]
Fri 20 Oct 2023 03:24:07 INFO valid result:
hit@10 : 0.0584 hit@50 : 0.16 ndcg@10 : 0.0281 ndcg@50 : 0.0496
Fri 20 Oct 2023 03:24:07 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:24:07 INFO Discovering multi-modal user interest before 2-th epoch
Fri 20 Oct 2023 03:24:07 INFO Finish multi-modal interest discovery before 2-th epoch
Fri 20 Oct 2023 03:24:17 INFO epoch 2 training [time: 9.96s, train loss: 1305.4769]
Fri 20 Oct 2023 03:24:18 INFO epoch 2 evaluating [time: 0.95s, valid_score: 0.030000]
Fri 20 Oct 2023 03:24:18 INFO valid result:
hit@10 : 0.0624 hit@50 : 0.1666 ndcg@10 : 0.03 ndcg@50 : 0.052
Fri 20 Oct 2023 03:24:18 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:24:18 INFO Discovering multi-modal user interest before 3-th epoch
Fri 20 Oct 2023 03:24:18 INFO Finish multi-modal interest discovery before 3-th epoch
Fri 20 Oct 2023 03:24:29 INFO epoch 3 training [time: 10.49s, train loss: 1289.4627]
Fri 20 Oct 2023 03:24:30 INFO epoch 3 evaluating [time: 1.06s, valid_score: 0.032100]
Fri 20 Oct 2023 03:24:30 INFO valid result:
hit@10 : 0.0658 hit@50 : 0.1731 ndcg@10 : 0.0321 ndcg@50 : 0.0548
Fri 20 Oct 2023 03:24:30 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:24:30 INFO Discovering multi-modal user interest before 4-th epoch
Fri 20 Oct 2023 03:24:30 INFO Finish multi-modal interest discovery before 4-th epoch
Fri 20 Oct 2023 03:24:40 INFO epoch 4 training [time: 10.09s, train loss: 1275.5382]
Fri 20 Oct 2023 03:24:41 INFO epoch 4 evaluating [time: 1.09s, valid_score: 0.031500]
Fri 20 Oct 2023 03:24:41 INFO valid result:
hit@10 : 0.0669 hit@50 : 0.1735 ndcg@10 : 0.0315 ndcg@50 : 0.0541
Fri 20 Oct 2023 03:24:41 INFO Discovering multi-modal user interest before 5-th epoch
Fri 20 Oct 2023 03:24:41 INFO Finish multi-modal interest discovery before 5-th epoch
Fri 20 Oct 2023 03:24:52 INFO epoch 5 training [time: 10.77s, train loss: 1264.5276]
Fri 20 Oct 2023 03:24:53 INFO epoch 5 evaluating [time: 1.05s, valid_score: 0.032600]
Fri 20 Oct 2023 03:24:53 INFO valid result:
hit@10 : 0.0698 hit@50 : 0.177 ndcg@10 : 0.0326 ndcg@50 : 0.0553
Fri 20 Oct 2023 03:24:53 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:24:53 INFO Discovering multi-modal user interest before 6-th epoch
Fri 20 Oct 2023 03:24:53 INFO Finish multi-modal interest discovery before 6-th epoch
Fri 20 Oct 2023 03:25:03 INFO epoch 6 training [time: 10.09s, train loss: 1256.2109]
Fri 20 Oct 2023 03:25:04 INFO epoch 6 evaluating [time: 0.96s, valid_score: 0.032400]
Fri 20 Oct 2023 03:25:04 INFO valid result:
hit@10 : 0.0688 hit@50 : 0.1769 ndcg@10 : 0.0324 ndcg@50 : 0.0554
Fri 20 Oct 2023 03:25:04 INFO Discovering multi-modal user interest before 7-th epoch
Fri 20 Oct 2023 03:25:04 INFO Finish multi-modal interest discovery before 7-th epoch
Fri 20 Oct 2023 03:25:15 INFO epoch 7 training [time: 10.31s, train loss: 1249.4005]
Fri 20 Oct 2023 03:25:16 INFO epoch 7 evaluating [time: 1.01s, valid_score: 0.033500]
Fri 20 Oct 2023 03:25:16 INFO valid result:
hit@10 : 0.0709 hit@50 : 0.1763 ndcg@10 : 0.0335 ndcg@50 : 0.0559
Fri 20 Oct 2023 03:25:16 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:25:16 INFO Discovering multi-modal user interest before 8-th epoch
Fri 20 Oct 2023 03:25:16 INFO Finish multi-modal interest discovery before 8-th epoch
Fri 20 Oct 2023 03:25:26 INFO epoch 8 training [time: 10.46s, train loss: 1243.5658]
Fri 20 Oct 2023 03:25:27 INFO epoch 8 evaluating [time: 1.03s, valid_score: 0.034100]
Fri 20 Oct 2023 03:25:27 INFO valid result:
hit@10 : 0.0727 hit@50 : 0.1775 ndcg@10 : 0.0341 ndcg@50 : 0.0564
Fri 20 Oct 2023 03:25:28 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:25:28 INFO Discovering multi-modal user interest before 9-th epoch
Fri 20 Oct 2023 03:25:28 INFO Finish multi-modal interest discovery before 9-th epoch
Fri 20 Oct 2023 03:25:38 INFO epoch 9 training [time: 10.17s, train loss: 1238.4612]
Fri 20 Oct 2023 03:25:39 INFO epoch 9 evaluating [time: 1.00s, valid_score: 0.033900]
Fri 20 Oct 2023 03:25:39 INFO valid result:
hit@10 : 0.0723 hit@50 : 0.1791 ndcg@10 : 0.0339 ndcg@50 : 0.0568
Fri 20 Oct 2023 03:25:39 INFO Discovering multi-modal user interest before 10-th epoch
Fri 20 Oct 2023 03:25:39 INFO Finish multi-modal interest discovery before 10-th epoch
Fri 20 Oct 2023 03:25:49 INFO epoch 10 training [time: 9.93s, train loss: 1233.8620]
Fri 20 Oct 2023 03:25:50 INFO epoch 10 evaluating [time: 0.94s, valid_score: 0.034500]
Fri 20 Oct 2023 03:25:50 INFO valid result:
hit@10 : 0.0733 hit@50 : 0.181 ndcg@10 : 0.0345 ndcg@50 : 0.0573
Fri 20 Oct 2023 03:25:50 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:25:50 INFO Discovering multi-modal user interest before 11-th epoch
Fri 20 Oct 2023 03:25:50 INFO Finish multi-modal interest discovery before 11-th epoch
Fri 20 Oct 2023 03:26:00 INFO epoch 11 training [time: 9.93s, train loss: 1230.4034]
Fri 20 Oct 2023 03:26:01 INFO epoch 11 evaluating [time: 0.96s, valid_score: 0.033800]
Fri 20 Oct 2023 03:26:01 INFO valid result:
hit@10 : 0.0732 hit@50 : 0.1815 ndcg@10 : 0.0338 ndcg@50 : 0.0566
Fri 20 Oct 2023 03:26:01 INFO Discovering multi-modal user interest before 12-th epoch
Fri 20 Oct 2023 03:26:01 INFO Finish multi-modal interest discovery before 12-th epoch
Fri 20 Oct 2023 03:26:11 INFO epoch 12 training [time: 10.11s, train loss: 1226.6383]
Fri 20 Oct 2023 03:26:12 INFO epoch 12 evaluating [time: 0.95s, valid_score: 0.033300]
Fri 20 Oct 2023 03:26:12 INFO valid result:
hit@10 : 0.0712 hit@50 : 0.1778 ndcg@10 : 0.0333 ndcg@50 : 0.0559
Fri 20 Oct 2023 03:26:12 INFO Discovering multi-modal user interest before 13-th epoch
Fri 20 Oct 2023 03:26:12 INFO Finish multi-modal interest discovery before 13-th epoch
Fri 20 Oct 2023 03:26:22 INFO epoch 13 training [time: 10.17s, train loss: 1224.2399]
Fri 20 Oct 2023 03:26:23 INFO epoch 13 evaluating [time: 0.97s, valid_score: 0.034000]
Fri 20 Oct 2023 03:26:23 INFO valid result:
hit@10 : 0.0727 hit@50 : 0.1826 ndcg@10 : 0.034 ndcg@50 : 0.0573
Fri 20 Oct 2023 03:26:23 INFO Discovering multi-modal user interest before 14-th epoch
Fri 20 Oct 2023 03:26:23 INFO Finish multi-modal interest discovery before 14-th epoch
Fri 20 Oct 2023 03:26:34 INFO epoch 14 training [time: 10.50s, train loss: 1221.3242]
Fri 20 Oct 2023 03:26:35 INFO epoch 14 evaluating [time: 0.98s, valid_score: 0.034400]
Fri 20 Oct 2023 03:26:35 INFO valid result:
hit@10 : 0.074 hit@50 : 0.1796 ndcg@10 : 0.0344 ndcg@50 : 0.0568
Fri 20 Oct 2023 03:26:35 INFO Discovering multi-modal user interest before 15-th epoch
Fri 20 Oct 2023 03:26:35 INFO Finish multi-modal interest discovery before 15-th epoch
Fri 20 Oct 2023 03:26:45 INFO epoch 15 training [time: 10.05s, train loss: 1218.8812]
Fri 20 Oct 2023 03:26:46 INFO epoch 15 evaluating [time: 1.02s, valid_score: 0.034300]
Fri 20 Oct 2023 03:26:46 INFO valid result:
hit@10 : 0.0739 hit@50 : 0.1818 ndcg@10 : 0.0343 ndcg@50 : 0.0573
Fri 20 Oct 2023 03:26:46 INFO Discovering multi-modal user interest before 16-th epoch
Fri 20 Oct 2023 03:26:46 INFO Finish multi-modal interest discovery before 16-th epoch
Fri 20 Oct 2023 03:26:56 INFO epoch 16 training [time: 10.57s, train loss: 1216.4904]
Fri 20 Oct 2023 03:26:57 INFO epoch 16 evaluating [time: 1.00s, valid_score: 0.034000]
Fri 20 Oct 2023 03:26:57 INFO valid result:
hit@10 : 0.0718 hit@50 : 0.1766 ndcg@10 : 0.034 ndcg@50 : 0.0563
Fri 20 Oct 2023 03:26:57 INFO Discovering multi-modal user interest before 17-th epoch
Fri 20 Oct 2023 03:26:57 INFO Finish multi-modal interest discovery before 17-th epoch
Fri 20 Oct 2023 03:27:07 INFO epoch 17 training [time: 10.05s, train loss: 1214.9697]
Fri 20 Oct 2023 03:27:08 INFO epoch 17 evaluating [time: 1.02s, valid_score: 0.034700]
Fri 20 Oct 2023 03:27:08 INFO valid result:
hit@10 : 0.075 hit@50 : 0.1814 ndcg@10 : 0.0347 ndcg@50 : 0.0573
Fri 20 Oct 2023 03:27:09 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:27:09 INFO Discovering multi-modal user interest before 18-th epoch
Fri 20 Oct 2023 03:27:09 INFO Finish multi-modal interest discovery before 18-th epoch
Fri 20 Oct 2023 03:27:19 INFO epoch 18 training [time: 10.67s, train loss: 1212.2228]
Fri 20 Oct 2023 03:27:21 INFO epoch 18 evaluating [time: 1.31s, valid_score: 0.034000]
Fri 20 Oct 2023 03:27:21 INFO valid result:
hit@10 : 0.0743 hit@50 : 0.1791 ndcg@10 : 0.034 ndcg@50 : 0.0563
Fri 20 Oct 2023 03:27:21 INFO Discovering multi-modal user interest before 19-th epoch
Fri 20 Oct 2023 03:27:21 INFO Finish multi-modal interest discovery before 19-th epoch
Fri 20 Oct 2023 03:27:31 INFO epoch 19 training [time: 10.68s, train loss: 1210.6902]
Fri 20 Oct 2023 03:27:32 INFO epoch 19 evaluating [time: 1.10s, valid_score: 0.034600]
Fri 20 Oct 2023 03:27:32 INFO valid result:
hit@10 : 0.0739 hit@50 : 0.182 ndcg@10 : 0.0346 ndcg@50 : 0.0576
Fri 20 Oct 2023 03:27:32 INFO Discovering multi-modal user interest before 20-th epoch
Fri 20 Oct 2023 03:27:32 INFO Finish multi-modal interest discovery before 20-th epoch
Fri 20 Oct 2023 03:27:43 INFO epoch 20 training [time: 10.14s, train loss: 1209.0217]
Fri 20 Oct 2023 03:27:44 INFO epoch 20 evaluating [time: 0.99s, valid_score: 0.034600]
Fri 20 Oct 2023 03:27:44 INFO valid result:
hit@10 : 0.0743 hit@50 : 0.1824 ndcg@10 : 0.0346 ndcg@50 : 0.0576
Fri 20 Oct 2023 03:27:44 INFO Discovering multi-modal user interest before 21-th epoch
Fri 20 Oct 2023 03:27:44 INFO Finish multi-modal interest discovery before 21-th epoch
Fri 20 Oct 2023 03:27:54 INFO epoch 21 training [time: 10.09s, train loss: 1206.9810]
Fri 20 Oct 2023 03:27:55 INFO epoch 21 evaluating [time: 0.98s, valid_score: 0.034900]
Fri 20 Oct 2023 03:27:55 INFO valid result:
hit@10 : 0.075 hit@50 : 0.1826 ndcg@10 : 0.0349 ndcg@50 : 0.0577
Fri 20 Oct 2023 03:27:55 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:27:55 INFO Discovering multi-modal user interest before 22-th epoch
Fri 20 Oct 2023 03:27:55 INFO Finish multi-modal interest discovery before 22-th epoch
Fri 20 Oct 2023 03:28:05 INFO epoch 22 training [time: 10.09s, train loss: 1205.4364]
Fri 20 Oct 2023 03:28:06 INFO epoch 22 evaluating [time: 1.00s, valid_score: 0.035100]
Fri 20 Oct 2023 03:28:06 INFO valid result:
hit@10 : 0.0749 hit@50 : 0.1827 ndcg@10 : 0.0351 ndcg@50 : 0.0581
Fri 20 Oct 2023 03:28:06 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:28:06 INFO Discovering multi-modal user interest before 23-th epoch
Fri 20 Oct 2023 03:28:06 INFO Finish multi-modal interest discovery before 23-th epoch
Fri 20 Oct 2023 03:28:17 INFO epoch 23 training [time: 10.37s, train loss: 1204.2581]
Fri 20 Oct 2023 03:28:18 INFO epoch 23 evaluating [time: 1.02s, valid_score: 0.035100]
Fri 20 Oct 2023 03:28:18 INFO valid result:
hit@10 : 0.0749 hit@50 : 0.1823 ndcg@10 : 0.0351 ndcg@50 : 0.0579
Fri 20 Oct 2023 03:28:18 INFO Saving current: saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:28:18 INFO Discovering multi-modal user interest before 24-th epoch
Fri 20 Oct 2023 03:28:18 INFO Finish multi-modal interest discovery before 24-th epoch
Fri 20 Oct 2023 03:28:28 INFO epoch 24 training [time: 10.25s, train loss: 1202.4439]
Fri 20 Oct 2023 03:28:29 INFO epoch 24 evaluating [time: 1.00s, valid_score: 0.034200]
Fri 20 Oct 2023 03:28:29 INFO valid result:
hit@10 : 0.0727 hit@50 : 0.1824 ndcg@10 : 0.0342 ndcg@50 : 0.0576
Fri 20 Oct 2023 03:28:29 INFO Discovering multi-modal user interest before 25-th epoch
Fri 20 Oct 2023 03:28:29 INFO Finish multi-modal interest discovery before 25-th epoch
Fri 20 Oct 2023 03:28:40 INFO epoch 25 training [time: 10.29s, train loss: 1201.8598]
Fri 20 Oct 2023 03:28:41 INFO epoch 25 evaluating [time: 1.26s, valid_score: 0.034600]
Fri 20 Oct 2023 03:28:41 INFO valid result:
hit@10 : 0.075 hit@50 : 0.1804 ndcg@10 : 0.0346 ndcg@50 : 0.0568
Fri 20 Oct 2023 03:28:41 INFO Discovering multi-modal user interest before 26-th epoch
Fri 20 Oct 2023 03:28:41 INFO Finish multi-modal interest discovery before 26-th epoch
Fri 20 Oct 2023 03:28:51 INFO epoch 26 training [time: 10.32s, train loss: 1200.4171]
Fri 20 Oct 2023 03:28:52 INFO epoch 26 evaluating [time: 1.00s, valid_score: 0.034700]
Fri 20 Oct 2023 03:28:52 INFO valid result:
hit@10 : 0.0728 hit@50 : 0.1828 ndcg@10 : 0.0347 ndcg@50 : 0.0581
Fri 20 Oct 2023 03:28:52 INFO Discovering multi-modal user interest before 27-th epoch
Fri 20 Oct 2023 03:28:52 INFO Finish multi-modal interest discovery before 27-th epoch
Fri 20 Oct 2023 03:29:02 INFO epoch 27 training [time: 9.97s, train loss: 1198.7013]
Fri 20 Oct 2023 03:29:03 INFO epoch 27 evaluating [time: 1.07s, valid_score: 0.033800]
Fri 20 Oct 2023 03:29:03 INFO valid result:
hit@10 : 0.0727 hit@50 : 0.1814 ndcg@10 : 0.0338 ndcg@50 : 0.0569
Fri 20 Oct 2023 03:29:03 INFO Discovering multi-modal user interest before 28-th epoch
Fri 20 Oct 2023 03:29:03 INFO Finish multi-modal interest discovery before 28-th epoch
Fri 20 Oct 2023 03:29:14 INFO epoch 28 training [time: 10.95s, train loss: 1198.2369]
Fri 20 Oct 2023 03:29:15 INFO epoch 28 evaluating [time: 1.09s, valid_score: 0.033800]
Fri 20 Oct 2023 03:29:15 INFO valid result:
hit@10 : 0.073 hit@50 : 0.1824 ndcg@10 : 0.0338 ndcg@50 : 0.0571
Fri 20 Oct 2023 03:29:15 INFO Discovering multi-modal user interest before 29-th epoch
Fri 20 Oct 2023 03:29:15 INFO Finish multi-modal interest discovery before 29-th epoch
Fri 20 Oct 2023 03:29:26 INFO epoch 29 training [time: 10.79s, train loss: 1196.6535]
Fri 20 Oct 2023 03:29:27 INFO epoch 29 evaluating [time: 1.01s, valid_score: 0.033700]
Fri 20 Oct 2023 03:29:27 INFO valid result:
hit@10 : 0.0728 hit@50 : 0.1801 ndcg@10 : 0.0337 ndcg@50 : 0.0565
Fri 20 Oct 2023 03:29:27 INFO Discovering multi-modal user interest before 30-th epoch
Fri 20 Oct 2023 03:29:27 INFO Finish multi-modal interest discovery before 30-th epoch
Fri 20 Oct 2023 03:29:37 INFO epoch 30 training [time: 10.33s, train loss: 1196.1309]
Fri 20 Oct 2023 03:29:38 INFO epoch 30 evaluating [time: 0.96s, valid_score: 0.034600]
Fri 20 Oct 2023 03:29:38 INFO valid result:
hit@10 : 0.075 hit@50 : 0.1808 ndcg@10 : 0.0346 ndcg@50 : 0.0571
Fri 20 Oct 2023 03:29:38 INFO Discovering multi-modal user interest before 31-th epoch
Fri 20 Oct 2023 03:29:38 INFO Finish multi-modal interest discovery before 31-th epoch
Fri 20 Oct 2023 03:29:49 INFO epoch 31 training [time: 10.31s, train loss: 1194.7193]
Fri 20 Oct 2023 03:29:50 INFO epoch 31 evaluating [time: 1.08s, valid_score: 0.034300]
Fri 20 Oct 2023 03:29:50 INFO valid result:
hit@10 : 0.0739 hit@50 : 0.1806 ndcg@10 : 0.0343 ndcg@50 : 0.0569
Fri 20 Oct 2023 03:29:50 INFO Discovering multi-modal user interest before 32-th epoch
Fri 20 Oct 2023 03:29:50 INFO Finish multi-modal interest discovery before 32-th epoch
Fri 20 Oct 2023 03:30:01 INFO epoch 32 training [time: 10.94s, train loss: 1194.0040]
Fri 20 Oct 2023 03:30:02 INFO epoch 32 evaluating [time: 1.01s, valid_score: 0.034800]
Fri 20 Oct 2023 03:30:02 INFO valid result:
hit@10 : 0.0737 hit@50 : 0.1785 ndcg@10 : 0.0348 ndcg@50 : 0.0571
Fri 20 Oct 2023 03:30:02 INFO Discovering multi-modal user interest before 33-th epoch
Fri 20 Oct 2023 03:30:02 INFO Finish multi-modal interest discovery before 33-th epoch
Fri 20 Oct 2023 03:30:12 INFO epoch 33 training [time: 10.44s, train loss: 1193.2574]
Fri 20 Oct 2023 03:30:13 INFO epoch 33 evaluating [time: 0.99s, valid_score: 0.034700]
Fri 20 Oct 2023 03:30:13 INFO valid result:
hit@10 : 0.075 hit@50 : 0.1811 ndcg@10 : 0.0347 ndcg@50 : 0.0572
Fri 20 Oct 2023 03:30:13 INFO Discovering multi-modal user interest before 34-th epoch
Fri 20 Oct 2023 03:30:13 INFO Finish multi-modal interest discovery before 34-th epoch
Fri 20 Oct 2023 03:30:23 INFO epoch 34 training [time: 10.20s, train loss: 1191.9010]
Fri 20 Oct 2023 03:30:24 INFO epoch 34 evaluating [time: 1.03s, valid_score: 0.034100]
Fri 20 Oct 2023 03:30:24 INFO valid result:
hit@10 : 0.0735 hit@50 : 0.1824 ndcg@10 : 0.0341 ndcg@50 : 0.0573
Fri 20 Oct 2023 03:30:24 INFO Finished training, best eval result in epoch 23
Fri 20 Oct 2023 03:30:24 INFO Loading model structure and parameters from saved/MISSRec-Oct-20-2023_03-23-43.pth
Fri 20 Oct 2023 03:30:25 INFO best valid : OrderedDict([('hit@10', 0.0749), ('hit@50', 0.1823), ('ndcg@10', 0.0351), ('ndcg@50', 0.0579)])
Fri 20 Oct 2023 03:30:25 INFO test result: OrderedDict([('hit@10', 0.0771), ('hit@50', 0.1804), ('ndcg@10', 0.0363), ('ndcg@50', 0.0583)])
Fri 20 Oct 2023 03:30:25 INFO Write log to /data/wangjinpeng/MISSRec_clear/log/MISSRec_gpu6/Oct-20-2023_03-23-36_.log