Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0564

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0564
File size: 2,887 Bytes 
6206683
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9069333333333334,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0564/checkpoints/checkpoint-1665",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 1665,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": Infinity,
      "learning_rate": 0.0004003003003003003,
      "loss": 0.7669,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8322666666666667,
      "eval_loss": 0.6106563210487366,
      "eval_runtime": 10.7903,
      "eval_samples_per_second": 347.533,
      "eval_steps_per_second": 5.468,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.026050126180052757,
      "learning_rate": 0.0003003003003003003,
      "loss": 0.3572,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8770666666666667,
      "eval_loss": 0.42498257756233215,
      "eval_runtime": 10.7383,
      "eval_samples_per_second": 349.218,
      "eval_steps_per_second": 5.494,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.1728908121585846,
      "learning_rate": 0.0002003003003003003,
      "loss": 0.17,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8826666666666667,
      "eval_loss": 0.42460939288139343,
      "eval_runtime": 11.2223,
      "eval_samples_per_second": 334.155,
      "eval_steps_per_second": 5.257,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.06156997010111809,
      "learning_rate": 0.00010030030030030029,
      "loss": 0.0612,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8986666666666666,
      "eval_loss": 0.380712628364563,
      "eval_runtime": 10.6513,
      "eval_samples_per_second": 352.07,
      "eval_steps_per_second": 5.539,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.2612005472183228,
      "learning_rate": 3.0030030030030027e-07,
      "loss": 0.0128,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9069333333333334,
      "eval_loss": 0.3445894420146942,
      "eval_runtime": 11.2891,
      "eval_samples_per_second": 332.178,
      "eval_steps_per_second": 5.226,
      "step": 1665
    }
  ],
  "logging_steps": 500,
  "max_steps": 1665,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "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": 8.2370660311296e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}