File size: 2,689 Bytes
897c24c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.6162846088409424,
  "best_model_checkpoint": "BERT-WMM/run-13/checkpoint-533",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 2665,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.94,
      "grad_norm": 12.600181579589844,
      "learning_rate": 1.4607577277616791e-05,
      "loss": 0.7148,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7577464788732394,
      "eval_loss": 0.6162846088409424,
      "eval_runtime": 1.9944,
      "eval_samples_per_second": 1067.994,
      "eval_steps_per_second": 67.188,
      "step": 533
    },
    {
      "epoch": 1.88,
      "grad_norm": 8.747657775878906,
      "learning_rate": 1.1234002848605984e-05,
      "loss": 0.4485,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7624413145539906,
      "eval_loss": 0.6197112202644348,
      "eval_runtime": 2.1341,
      "eval_samples_per_second": 998.1,
      "eval_steps_per_second": 62.791,
      "step": 1066
    },
    {
      "epoch": 2.81,
      "grad_norm": 34.570838928222656,
      "learning_rate": 7.860428419595179e-06,
      "loss": 0.2791,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7661971830985915,
      "eval_loss": 0.7673255205154419,
      "eval_runtime": 2.1145,
      "eval_samples_per_second": 1007.348,
      "eval_steps_per_second": 63.373,
      "step": 1599
    },
    {
      "epoch": 3.75,
      "grad_norm": 25.005464553833008,
      "learning_rate": 4.486853990584372e-06,
      "loss": 0.1691,
      "step": 2000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7680751173708921,
      "eval_loss": 1.1236116886138916,
      "eval_runtime": 2.0265,
      "eval_samples_per_second": 1051.061,
      "eval_steps_per_second": 66.123,
      "step": 2132
    },
    {
      "epoch": 4.69,
      "grad_norm": 0.5956600904464722,
      "learning_rate": 1.113279561573566e-06,
      "loss": 0.0966,
      "step": 2500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7690140845070422,
      "eval_loss": 1.2481839656829834,
      "eval_runtime": 2.1691,
      "eval_samples_per_second": 981.987,
      "eval_steps_per_second": 61.778,
      "step": 2665
    }
  ],
  "logging_steps": 500,
  "max_steps": 2665,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 846139862236032.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.7981151706627596e-05,
    "num_train_epochs": 5,
    "per_device_train_batch_size": 16,
    "weight_decay": 0.009594844383188954
  }
}