Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0202

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0202
File size: 2,845 Bytes 
2b9fe1b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9133333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0202/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": 29.37284278869629,
      "learning_rate": 4.003003003003003e-05,
      "loss": 0.9286,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8488,
      "eval_loss": 0.49114498496055603,
      "eval_runtime": 11.5635,
      "eval_samples_per_second": 324.296,
      "eval_steps_per_second": 5.102,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": NaN,
      "learning_rate": 3.0060060060060065e-05,
      "loss": 0.2456,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8805333333333333,
      "eval_loss": 0.38965585827827454,
      "eval_runtime": 11.6213,
      "eval_samples_per_second": 322.684,
      "eval_steps_per_second": 5.077,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 78.27859497070312,
      "learning_rate": 2.006006006006006e-05,
      "loss": 0.1012,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8909333333333334,
      "eval_loss": 0.37347251176834106,
      "eval_runtime": 11.581,
      "eval_samples_per_second": 323.807,
      "eval_steps_per_second": 5.095,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 8.925686836242676,
      "learning_rate": 1.006006006006006e-05,
      "loss": 0.0382,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.904,
      "eval_loss": 0.3536548912525177,
      "eval_runtime": 11.2368,
      "eval_samples_per_second": 333.726,
      "eval_steps_per_second": 5.251,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.5969616770744324,
      "learning_rate": 6.006006006006006e-08,
      "loss": 0.01,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9133333333333333,
      "eval_loss": 0.3491658866405487,
      "eval_runtime": 11.3329,
      "eval_samples_per_second": 330.895,
      "eval_steps_per_second": 5.206,
      "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
}