File size: 4,432 Bytes
bf2bbd1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
{
  "best_metric": 0.9032,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0813/checkpoints/checkpoint-2997",
  "epoch": 9.0,
  "eval_steps": 500,
  "global_step": 2997,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 5.608179569244385,
      "learning_rate": 2.9095389311788626e-05,
      "loss": 2.2858,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.772,
      "eval_loss": 1.0615872144699097,
      "eval_runtime": 9.2412,
      "eval_samples_per_second": 405.79,
      "eval_steps_per_second": 6.384,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 5.158117294311523,
      "learning_rate": 2.649066664678467e-05,
      "loss": 0.733,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8429333333333333,
      "eval_loss": 0.5953142046928406,
      "eval_runtime": 6.4644,
      "eval_samples_per_second": 580.104,
      "eval_steps_per_second": 9.127,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.144608497619629,
      "learning_rate": 2.25e-05,
      "loss": 0.4095,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8674666666666667,
      "eval_loss": 0.47567370533943176,
      "eval_runtime": 6.6962,
      "eval_samples_per_second": 560.017,
      "eval_steps_per_second": 8.811,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.6657236218452454,
      "learning_rate": 1.760472266500396e-05,
      "loss": 0.2583,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8789333333333333,
      "eval_loss": 0.41896283626556396,
      "eval_runtime": 6.4258,
      "eval_samples_per_second": 583.586,
      "eval_steps_per_second": 9.182,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.8856961727142334,
      "learning_rate": 1.2395277334996045e-05,
      "loss": 0.1667,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8896,
      "eval_loss": 0.3780921697616577,
      "eval_runtime": 6.271,
      "eval_samples_per_second": 597.988,
      "eval_steps_per_second": 9.408,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 3.5316805839538574,
      "learning_rate": 7.500000000000004e-06,
      "loss": 0.1069,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8954666666666666,
      "eval_loss": 0.3547556698322296,
      "eval_runtime": 6.6352,
      "eval_samples_per_second": 565.169,
      "eval_steps_per_second": 8.892,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 2.0859780311584473,
      "learning_rate": 3.519446655599853e-06,
      "loss": 0.0695,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8986666666666666,
      "eval_loss": 0.356741726398468,
      "eval_runtime": 6.3134,
      "eval_samples_per_second": 593.973,
      "eval_steps_per_second": 9.345,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": 0.22913579642772675,
      "learning_rate": 9.099962490342784e-07,
      "loss": 0.049,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8981333333333333,
      "eval_loss": 0.3506309986114502,
      "eval_runtime": 6.8979,
      "eval_samples_per_second": 543.644,
      "eval_steps_per_second": 8.553,
      "step": 2664
    },
    {
      "epoch": 9.0,
      "grad_norm": 1.5491360425949097,
      "learning_rate": 8.24114362751871e-12,
      "loss": 0.0414,
      "step": 2997
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.9032,
      "eval_loss": 0.34590741991996765,
      "eval_runtime": 7.4357,
      "eval_samples_per_second": 504.325,
      "eval_steps_per_second": 7.935,
      "step": 2997
    }
  ],
  "logging_steps": 500,
  "max_steps": 2997,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "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": 1.482671885603328e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}