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        [ 1.5725, -0.6790],
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AdamW (
Parameter Group 0
    amsgrad: False
    betas: (0.9, 0.999)
    capturable: False
    eps: 1e-08
    foreach: None
    initial_lr: 5e-05
    lr: 5e-05
    maximize: False
    weight_decay: 0.01
)
  0%|                                                                                                                         | 301/625000 [01:30<51:18:41,  3.38it/s]bert.embeddings.word_embeddings.weight tensor(24.7451, device='cuda:0')
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classifier.weight tensor(23.4280, device='cuda:0')
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**************************************************
LOSS  0.4168481940792195
Accuracy  0.8214221845314406
Precision  0.8431657568101438
Recall  0.7925892012182459
F1  0.8170955807344478
Curr loss  tensor(0.4152, device='cuda:0', grad_fn=<DivBackward1>)
Curr prec  0.8636363636363636
Curr recall  0.9047619047619048
tensor([[ 1.5689, -1.2057],
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        [-0.5737, -0.0354],
        [-1.4430,  0.1484],
        [-1.4443,  0.1112]], device='cuda:0', grad_fn=<AddmmBackward0>)
AdamW (
Parameter Group 0
    amsgrad: False
    betas: (0.9, 0.999)
    capturable: False
    eps: 1e-08
    foreach: None
    initial_lr: 5e-05
    lr: 5e-05
    maximize: False
    weight_decay: 0.01
)
  0%|                                                                                                                         | 351/625000 [01:45<54:22:35,  3.19it/s]bert.embeddings.word_embeddings.weight tensor(66.6292, device='cuda:0')
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**************************************************
LOSS  0.43332445663058
Accuracy  0.8207475580608263
Precision  0.8377197824878886
Recall  0.7800668945162665
F1  0.8078660536508933
Curr loss  tensor(0.5228, device='cuda:0', grad_fn=<DivBackward1>)
Curr prec  0.8
Curr recall  0.5714285714285714
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AdamW (
Parameter Group 0
    amsgrad: False
    betas: (0.9, 0.999)
    capturable: False
    eps: 1e-08
    foreach: None
    initial_lr: 5e-05
    lr: 5e-05
    maximize: False
    weight_decay: 0.01
)
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**************************************************
LOSS  0.3885661152521114
Accuracy  0.8077865153097975
Precision  0.7915777643886241
Recall  0.8392196477891941
F1  0.8147028044897883
Curr loss  tensor(0.3084, device='cuda:0', grad_fn=<DivBackward1>)
Curr prec  0.7
Curr recall  0.9333333333333333
tensor([[ 1.5087, -1.1546],
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AdamW (
Parameter Group 0
    amsgrad: False
    betas: (0.9, 0.999)
    capturable: False
    eps: 1e-08
    foreach: None
    initial_lr: 5e-05
    lr: 5e-05
    maximize: False
    weight_decay: 0.01
)
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**************************************************
LOSS  0.4316439567238949
Accuracy  0.796412551375369
Precision  0.8385019497884718
Recall  0.7310235237356315
F1  0.781082767159246
Curr loss  tensor(0.4742, device='cuda:0', grad_fn=<DivBackward1>)
Curr prec  0.875
Curr recall  0.5
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AdamW (
Parameter Group 0
    amsgrad: False
    betas: (0.9, 0.999)
    capturable: False
    eps: 1e-08
    foreach: None
    initial_lr: 5e-05
    lr: 5e-05
    maximize: False
    weight_decay: 0.01
)
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