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res.txt
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res.txt
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{
"metrics": {
"train_loss": [
8.979,
7.931,
7.129,
6.505,
6.017,
5.631,
5.297,
5.016,
4.766,
4.546,
4.356,
4.166,
3.999,
3.851,
4.657,
4.592,
4.554,
4.517,
4.480,
4.455
],
"valid_loss": [
8.827,
8.620,
8.395,
8.207,
8.069,
8.025,
7.966,
7.923,
7.891,
7.870,
7.864,
7.860,
7.850,
7.858,
7.848,
7.839,
7.830,
7.827,
7.821,
7.822
],
"accuracy": [
0.024,
0.047,
0.067,
0.081,
0.089,
0.090,
0.091,
0.094,
0.092,
0.092,
0.093,
0.091,
0.090,
0.085,
0.097,
0.098,
0.098,
0.097,
0.097,
0.097
]
},
"args": {
"hidden_size": 500,
"model_mode": "simple",
"history_mode": "avg",
"clip": 5,
"optim": "Adam",
"rnn_type": "LSTM",
"loc_emb_size": 500,
"learning_rate": 0.000,
"data_name": "foursquare",
"lr_step": 5,
"act_type": "selu",
"L2": 0.000,
"uid_emb_size": 40,
"attn_type": "dot",
"epoch_max": 20,
"tim_emb_size": 10,
"voc_emb_size": 50,
"lr_decay": 0.100,
"dropout_p": 0.300
}
}