Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0777

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0777
File size: 3,133 Bytes 
6b1e959
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.3584,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0777/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": 24.9738826751709,
      "learning_rate": 0.0003,
      "loss": 3.342,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.204,
      "eval_loss": 3.014453649520874,
      "eval_runtime": 13.5081,
      "eval_samples_per_second": 277.611,
      "eval_steps_per_second": 4.368,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 20.792720794677734,
      "learning_rate": 0.0003,
      "loss": 2.8015,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.2557333333333333,
      "eval_loss": 2.7573230266571045,
      "eval_runtime": 13.4736,
      "eval_samples_per_second": 278.322,
      "eval_steps_per_second": 4.379,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 21.414352416992188,
      "learning_rate": 0.0003,
      "loss": 2.5985,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.2976,
      "eval_loss": 2.5624492168426514,
      "eval_runtime": 13.6063,
      "eval_samples_per_second": 275.607,
      "eval_steps_per_second": 4.336,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 28.414926528930664,
      "learning_rate": 0.0003,
      "loss": 2.438,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.324,
      "eval_loss": 2.4382827281951904,
      "eval_runtime": 12.9972,
      "eval_samples_per_second": 288.524,
      "eval_steps_per_second": 4.539,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 24.37203598022461,
      "learning_rate": 0.0003,
      "loss": 2.3182,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.3450666666666667,
      "eval_loss": 2.383817672729492,
      "eval_runtime": 13.4496,
      "eval_samples_per_second": 278.819,
      "eval_steps_per_second": 4.387,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 22.887929916381836,
      "learning_rate": 0.0003,
      "loss": 2.1925,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.3584,
      "eval_loss": 2.325667142868042,
      "eval_runtime": 13.4144,
      "eval_samples_per_second": 279.551,
      "eval_steps_per_second": 4.398,
      "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
}