Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0740

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0740
File size: 3,250 Bytes 
4113b7b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9088,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0740/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": 63.855342864990234,
      "learning_rate": 6.736728394143519e-05,
      "loss": 0.9006,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8208,
      "eval_loss": 0.5754830837249756,
      "eval_runtime": 11.648,
      "eval_samples_per_second": 321.944,
      "eval_steps_per_second": 5.065,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": Infinity,
      "learning_rate": 5.9836139093159734e-05,
      "loss": 0.3424,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8453333333333334,
      "eval_loss": 0.5174381136894226,
      "eval_runtime": 11.5637,
      "eval_samples_per_second": 324.292,
      "eval_steps_per_second": 5.102,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.9549568891525269,
      "learning_rate": 4.8508234564836505e-05,
      "loss": 0.1639,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8725333333333334,
      "eval_loss": 0.44280415773391724,
      "eval_runtime": 12.2671,
      "eval_samples_per_second": 305.696,
      "eval_steps_per_second": 4.81,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 32.58443069458008,
      "learning_rate": 3.512382377646818e-05,
      "loss": 0.095,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8842666666666666,
      "eval_loss": 0.4280872344970703,
      "eval_runtime": 12.2114,
      "eval_samples_per_second": 307.09,
      "eval_steps_per_second": 4.832,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.7727970480918884,
      "learning_rate": 2.1720561940597914e-05,
      "loss": 0.0445,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8970666666666667,
      "eval_loss": 0.4183649718761444,
      "eval_runtime": 11.8634,
      "eval_samples_per_second": 316.097,
      "eval_steps_per_second": 4.973,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.0010612489422783256,
      "learning_rate": 1.0338974170865825e-05,
      "loss": 0.0151,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9088,
      "eval_loss": 0.38827624917030334,
      "eval_runtime": 11.9181,
      "eval_samples_per_second": 314.646,
      "eval_steps_per_second": 4.95,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 2664,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "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
}