File size: 4,479 Bytes
7ad2963
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9181333333333334,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0678/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": 24.114116668701172,
      "learning_rate": 8.006006006006006e-05,
      "loss": 0.946,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8352,
      "eval_loss": 0.5771884322166443,
      "eval_runtime": 12.6535,
      "eval_samples_per_second": 296.36,
      "eval_steps_per_second": 4.663,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 3.7141811847686768,
      "learning_rate": 7.006006006006006e-05,
      "loss": 0.321,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8456,
      "eval_loss": 0.5261477828025818,
      "eval_runtime": 11.7723,
      "eval_samples_per_second": 318.545,
      "eval_steps_per_second": 5.012,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.22823549807071686,
      "learning_rate": 6.006006006006006e-05,
      "loss": 0.1726,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8717333333333334,
      "eval_loss": 0.47572076320648193,
      "eval_runtime": 11.5478,
      "eval_samples_per_second": 324.737,
      "eval_steps_per_second": 5.109,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 160.7298126220703,
      "learning_rate": 5.0060060060060066e-05,
      "loss": 0.1034,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8741333333333333,
      "eval_loss": 0.4934878349304199,
      "eval_runtime": 11.9821,
      "eval_samples_per_second": 312.966,
      "eval_steps_per_second": 4.924,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.08969806879758835,
      "learning_rate": 4.006006006006007e-05,
      "loss": 0.0573,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8797333333333334,
      "eval_loss": 0.49537256360054016,
      "eval_runtime": 11.5058,
      "eval_samples_per_second": 325.924,
      "eval_steps_per_second": 5.128,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 36.12517547607422,
      "learning_rate": 3.0060060060060065e-05,
      "loss": 0.0315,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8965333333333333,
      "eval_loss": 0.46518462896347046,
      "eval_runtime": 11.7734,
      "eval_samples_per_second": 318.514,
      "eval_steps_per_second": 5.011,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 0.0001624671567697078,
      "learning_rate": 2.0060060060060062e-05,
      "loss": 0.0124,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.9050666666666667,
      "eval_loss": 0.44985175132751465,
      "eval_runtime": 12.109,
      "eval_samples_per_second": 309.688,
      "eval_steps_per_second": 4.872,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": 0.007620618212968111,
      "learning_rate": 1.0060060060060061e-05,
      "loss": 0.0045,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.9136,
      "eval_loss": 0.4013453423976898,
      "eval_runtime": 11.6389,
      "eval_samples_per_second": 322.196,
      "eval_steps_per_second": 5.069,
      "step": 2664
    },
    {
      "epoch": 9.0,
      "grad_norm": 8.350544521817937e-05,
      "learning_rate": 6.006006006006006e-08,
      "loss": 0.001,
      "step": 2997
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.9181333333333334,
      "eval_loss": 0.3817403316497803,
      "eval_runtime": 11.6139,
      "eval_samples_per_second": 322.888,
      "eval_steps_per_second": 5.08,
      "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
}