Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0729

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0729
File size: 3,289 Bytes 
9a4bf2a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9474666666666667,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0729/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": 0.8878992199897766,
      "learning_rate": 6.653391037658466e-05,
      "loss": 0.7515,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9290666666666667,
      "eval_loss": 0.25241854786872864,
      "eval_runtime": 13.1143,
      "eval_samples_per_second": 285.947,
      "eval_steps_per_second": 4.499,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.07038387656211853,
      "learning_rate": 5.682214306505567e-05,
      "loss": 0.1331,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.92,
      "eval_loss": 0.2850964665412903,
      "eval_runtime": 12.5883,
      "eval_samples_per_second": 297.896,
      "eval_steps_per_second": 4.687,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.06545305252075195,
      "learning_rate": 4.2788232688471e-05,
      "loss": 0.0485,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9301333333333334,
      "eval_loss": 0.2703464925289154,
      "eval_runtime": 12.5251,
      "eval_samples_per_second": 299.4,
      "eval_steps_per_second": 4.711,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.02720840647816658,
      "learning_rate": 2.7211767311528996e-05,
      "loss": 0.0157,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9437333333333333,
      "eval_loss": 0.22763261198997498,
      "eval_runtime": 12.4193,
      "eval_samples_per_second": 301.95,
      "eval_steps_per_second": 4.751,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.019502338021993637,
      "learning_rate": 1.3177856934944328e-05,
      "loss": 0.0061,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9437333333333333,
      "eval_loss": 0.2280394434928894,
      "eval_runtime": 12.3612,
      "eval_samples_per_second": 303.37,
      "eval_steps_per_second": 4.773,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.07268548756837845,
      "learning_rate": 3.4660896234153336e-06,
      "loss": 0.0036,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9474666666666667,
      "eval_loss": 0.223210871219635,
      "eval_runtime": 12.308,
      "eval_samples_per_second": 304.681,
      "eval_steps_per_second": 4.794,
      "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": 9.88447923735552e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}