Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0624

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0624
File size: 3,252 Bytes 
7b1551e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9493333333333334,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0624/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": 0.3521270751953125,
      "learning_rate": 9.330127018922194e-05,
      "loss": 0.5854,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9237333333333333,
      "eval_loss": 0.25909486413002014,
      "eval_runtime": 7.3007,
      "eval_samples_per_second": 513.649,
      "eval_steps_per_second": 8.081,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 6.727205753326416,
      "learning_rate": 7.500000000000001e-05,
      "loss": 0.1202,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9306666666666666,
      "eval_loss": 0.23177491128444672,
      "eval_runtime": 7.3516,
      "eval_samples_per_second": 510.093,
      "eval_steps_per_second": 8.025,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.042666733264923096,
      "learning_rate": 5e-05,
      "loss": 0.0491,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9416,
      "eval_loss": 0.2100265920162201,
      "eval_runtime": 7.1264,
      "eval_samples_per_second": 526.21,
      "eval_steps_per_second": 8.279,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.05381520837545395,
      "learning_rate": 2.500000000000001e-05,
      "loss": 0.0149,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9458666666666666,
      "eval_loss": 0.2072855830192566,
      "eval_runtime": 7.4919,
      "eval_samples_per_second": 500.541,
      "eval_steps_per_second": 7.875,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.0171403456479311,
      "learning_rate": 6.698729810778065e-06,
      "loss": 0.0047,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9485333333333333,
      "eval_loss": 0.1989789456129074,
      "eval_runtime": 7.8989,
      "eval_samples_per_second": 474.751,
      "eval_steps_per_second": 7.469,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.031138712540268898,
      "learning_rate": 0.0,
      "loss": 0.0029,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9493333333333334,
      "eval_loss": 0.1952938437461853,
      "eval_runtime": 7.4344,
      "eval_samples_per_second": 504.411,
      "eval_steps_per_second": 7.936,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 1998,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "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": 9.88447923735552e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}