Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0649

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0649
File size: 3,296 Bytes 
8a300b2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9618666666666666,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0649/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": 0.5684822201728821,
      "learning_rate": 4.4444444444444447e-05,
      "loss": 0.8069,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9488,
      "eval_loss": 0.20731757581233978,
      "eval_runtime": 13.7573,
      "eval_samples_per_second": 272.582,
      "eval_steps_per_second": 4.289,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.24929940700531006,
      "learning_rate": 3.888888888888889e-05,
      "loss": 0.0929,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9525333333333333,
      "eval_loss": 0.172918438911438,
      "eval_runtime": 12.453,
      "eval_samples_per_second": 301.132,
      "eval_steps_per_second": 4.738,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.06064837425947189,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.0296,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9538666666666666,
      "eval_loss": 0.17567475140094757,
      "eval_runtime": 12.3966,
      "eval_samples_per_second": 302.502,
      "eval_steps_per_second": 4.759,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.7187159061431885,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.0119,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9573333333333334,
      "eval_loss": 0.15571406483650208,
      "eval_runtime": 12.0685,
      "eval_samples_per_second": 310.725,
      "eval_steps_per_second": 4.889,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.02083256095647812,
      "learning_rate": 2.2222222222222223e-05,
      "loss": 0.0037,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9605333333333334,
      "eval_loss": 0.16351911425590515,
      "eval_runtime": 12.8646,
      "eval_samples_per_second": 291.497,
      "eval_steps_per_second": 4.586,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 2.463406562805176,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 0.0024,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9618666666666666,
      "eval_loss": 0.1520133763551712,
      "eval_runtime": 12.4243,
      "eval_samples_per_second": 301.827,
      "eval_steps_per_second": 4.749,
      "step": 1998
    }
  ],
  "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": false
      },
      "attributes": {}
    }
  },
  "total_flos": 9.88447923735552e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}