Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0608

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0608
File size: 3,253 Bytes 
c926e24
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9168,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0608/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": 5.665379524230957,
      "learning_rate": 8.400647327635769e-05,
      "loss": 0.9987,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8168,
      "eval_loss": 0.6117562651634216,
      "eval_runtime": 11.7936,
      "eval_samples_per_second": 317.969,
      "eval_steps_per_second": 5.003,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 10.71777629852295,
      "learning_rate": 6.762244255374248e-05,
      "loss": 0.307,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8594666666666667,
      "eval_loss": 0.48495885729789734,
      "eval_runtime": 13.1055,
      "eval_samples_per_second": 286.14,
      "eval_steps_per_second": 4.502,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.0011745576048269868,
      "learning_rate": 4.5141512949348145e-05,
      "loss": 0.1372,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8805333333333333,
      "eval_loss": 0.44963234663009644,
      "eval_runtime": 13.731,
      "eval_samples_per_second": 273.104,
      "eval_steps_per_second": 4.297,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.0036254983860999346,
      "learning_rate": 2.262266506445742e-05,
      "loss": 0.0533,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9048,
      "eval_loss": 0.36032480001449585,
      "eval_runtime": 13.2194,
      "eval_samples_per_second": 283.673,
      "eval_steps_per_second": 4.463,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.003597788279876113,
      "learning_rate": 6.099806004306081e-06,
      "loss": 0.0114,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9109333333333334,
      "eval_loss": 0.3450458347797394,
      "eval_runtime": 11.4062,
      "eval_samples_per_second": 328.768,
      "eval_steps_per_second": 5.173,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.0013931830180808902,
      "learning_rate": 2.2251071493339937e-10,
      "loss": 0.0019,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9168,
      "eval_loss": 0.336873859167099,
      "eval_runtime": 11.1887,
      "eval_samples_per_second": 335.16,
      "eval_steps_per_second": 5.273,
      "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
}