File size: 3,248 Bytes
cfa1c63
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9016,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0245/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": 101.6607666015625,
      "learning_rate": 9.504844339512095e-05,
      "loss": 2.647,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.772,
      "eval_loss": 0.8004442453384399,
      "eval_runtime": 7.8669,
      "eval_samples_per_second": 476.679,
      "eval_steps_per_second": 7.5,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 197.28057861328125,
      "learning_rate": 8.117449009293668e-05,
      "loss": 0.6238,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8597333333333333,
      "eval_loss": 0.46096667647361755,
      "eval_runtime": 7.6517,
      "eval_samples_per_second": 490.085,
      "eval_steps_per_second": 7.711,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 206.0350341796875,
      "learning_rate": 6.112604669781572e-05,
      "loss": 0.3809,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8802666666666666,
      "eval_loss": 0.36226174235343933,
      "eval_runtime": 7.7363,
      "eval_samples_per_second": 484.727,
      "eval_steps_per_second": 7.626,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 117.3563003540039,
      "learning_rate": 3.887395330218429e-05,
      "loss": 0.2822,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8946666666666667,
      "eval_loss": 0.32895806431770325,
      "eval_runtime": 7.6696,
      "eval_samples_per_second": 488.94,
      "eval_steps_per_second": 7.693,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 85.04855346679688,
      "learning_rate": 1.8825509907063327e-05,
      "loss": 0.2141,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8973333333333333,
      "eval_loss": 0.32591986656188965,
      "eval_runtime": 7.6499,
      "eval_samples_per_second": 490.201,
      "eval_steps_per_second": 7.712,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 104.0528793334961,
      "learning_rate": 4.951556604879048e-06,
      "loss": 0.1833,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9016,
      "eval_loss": 0.3201809227466583,
      "eval_runtime": 7.7762,
      "eval_samples_per_second": 482.243,
      "eval_steps_per_second": 7.587,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 2331,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 4.9058575437312e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}