Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0320

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0320
File size: 3,283 Bytes 
6360673
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9437333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0320/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": 12.020645141601562,
      "learning_rate": 9.504844339512095e-05,
      "loss": 0.645,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9133333333333333,
      "eval_loss": 0.29997381567955017,
      "eval_runtime": 13.0456,
      "eval_samples_per_second": 287.454,
      "eval_steps_per_second": 4.523,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.03683370724320412,
      "learning_rate": 8.117449009293668e-05,
      "loss": 0.1499,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9213333333333333,
      "eval_loss": 0.2723117768764496,
      "eval_runtime": 13.04,
      "eval_samples_per_second": 287.577,
      "eval_steps_per_second": 4.525,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.05616510659456253,
      "learning_rate": 6.112604669781572e-05,
      "loss": 0.0735,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9250666666666667,
      "eval_loss": 0.28449317812919617,
      "eval_runtime": 13.0781,
      "eval_samples_per_second": 286.739,
      "eval_steps_per_second": 4.511,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.014232357032597065,
      "learning_rate": 3.887395330218429e-05,
      "loss": 0.0315,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.932,
      "eval_loss": 0.2637251615524292,
      "eval_runtime": 13.0249,
      "eval_samples_per_second": 287.911,
      "eval_steps_per_second": 4.53,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.014060921035706997,
      "learning_rate": 1.8825509907063327e-05,
      "loss": 0.011,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9416,
      "eval_loss": 0.23087777197360992,
      "eval_runtime": 13.0148,
      "eval_samples_per_second": 288.133,
      "eval_steps_per_second": 4.533,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.008774442598223686,
      "learning_rate": 4.951556604879048e-06,
      "loss": 0.0053,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9437333333333333,
      "eval_loss": 0.23553477227687836,
      "eval_runtime": 13.0215,
      "eval_samples_per_second": 287.985,
      "eval_steps_per_second": 4.531,
      "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
}