Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0212

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0212
File size: 3,234 Bytes 
e2c21d5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8986666666666666,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0212/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": 13.115069389343262,
      "learning_rate": 8.343343343343344e-05,
      "loss": 1.039,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8032,
      "eval_loss": 0.627038300037384,
      "eval_runtime": 6.8444,
      "eval_samples_per_second": 547.892,
      "eval_steps_per_second": 8.62,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 6.182191371917725,
      "learning_rate": 6.676676676676677e-05,
      "loss": 0.3372,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.836,
      "eval_loss": 0.5417731404304504,
      "eval_runtime": 6.8702,
      "eval_samples_per_second": 545.834,
      "eval_steps_per_second": 8.588,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 6.243861198425293,
      "learning_rate": 5.01001001001001e-05,
      "loss": 0.1551,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8610666666666666,
      "eval_loss": 0.5183677077293396,
      "eval_runtime": 6.5151,
      "eval_samples_per_second": 575.585,
      "eval_steps_per_second": 9.056,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.2019670605659485,
      "learning_rate": 3.3433433433433435e-05,
      "loss": 0.0714,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8704,
      "eval_loss": 0.4896680414676666,
      "eval_runtime": 6.8187,
      "eval_samples_per_second": 549.96,
      "eval_steps_per_second": 8.653,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.13753890991210938,
      "learning_rate": 1.6766766766766767e-05,
      "loss": 0.0232,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.888,
      "eval_loss": 0.45525020360946655,
      "eval_runtime": 6.2762,
      "eval_samples_per_second": 597.499,
      "eval_steps_per_second": 9.401,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.3573720455169678,
      "learning_rate": 1.001001001001001e-07,
      "loss": 0.0043,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8986666666666666,
      "eval_loss": 0.40733274817466736,
      "eval_runtime": 6.1866,
      "eval_samples_per_second": 606.146,
      "eval_steps_per_second": 9.537,
      "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
}