File size: 3,214 Bytes
e3d09b6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.8981333333333333,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0873/checkpoints/checkpoint-1998",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 1998,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 133.18862915039062,
      "learning_rate": 8.397114317029975e-05,
      "loss": 2.8508,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7634666666666666,
      "eval_loss": 0.9641450643539429,
      "eval_runtime": 9.026,
      "eval_samples_per_second": 415.466,
      "eval_steps_per_second": 6.537,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 108.99188232421875,
      "learning_rate": 6.75e-05,
      "loss": 0.6604,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8648,
      "eval_loss": 0.48545923829078674,
      "eval_runtime": 8.9906,
      "eval_samples_per_second": 417.102,
      "eval_steps_per_second": 6.562,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 104.87564849853516,
      "learning_rate": 4.5e-05,
      "loss": 0.42,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8896,
      "eval_loss": 0.37471920251846313,
      "eval_runtime": 9.0073,
      "eval_samples_per_second": 416.331,
      "eval_steps_per_second": 6.55,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 106.07954406738281,
      "learning_rate": 2.250000000000001e-05,
      "loss": 0.312,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8917333333333334,
      "eval_loss": 0.3572552800178528,
      "eval_runtime": 8.9526,
      "eval_samples_per_second": 418.872,
      "eval_steps_per_second": 6.59,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 301.56622314453125,
      "learning_rate": 6.028856829700258e-06,
      "loss": 0.257,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8965333333333333,
      "eval_loss": 0.338148832321167,
      "eval_runtime": 8.8344,
      "eval_samples_per_second": 424.475,
      "eval_steps_per_second": 6.678,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 53.218231201171875,
      "learning_rate": 0.0,
      "loss": 0.2324,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8981333333333333,
      "eval_loss": 0.34444573521614075,
      "eval_runtime": 8.8182,
      "eval_samples_per_second": 425.256,
      "eval_steps_per_second": 6.691,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 1998,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 4.9058575437312e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}