Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0071

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0071
File size: 3,141 Bytes 
4aecfa3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8714666666666666,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0071/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": Infinity,
      "learning_rate": 7e-05,
      "loss": 0.9085,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8621333333333333,
      "eval_loss": 0.4656936824321747,
      "eval_runtime": 6.0935,
      "eval_samples_per_second": 615.413,
      "eval_steps_per_second": 9.682,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.014366960152983665,
      "learning_rate": 7e-05,
      "loss": 0.3109,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8602666666666666,
      "eval_loss": 0.48297613859176636,
      "eval_runtime": 5.8377,
      "eval_samples_per_second": 642.378,
      "eval_steps_per_second": 10.107,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.471111923456192,
      "learning_rate": 7e-05,
      "loss": 0.2018,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8544,
      "eval_loss": 0.5437843799591064,
      "eval_runtime": 5.8723,
      "eval_samples_per_second": 638.59,
      "eval_steps_per_second": 10.047,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.1936206817626953,
      "learning_rate": 7e-05,
      "loss": 0.1434,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.86,
      "eval_loss": 0.546466588973999,
      "eval_runtime": 6.0658,
      "eval_samples_per_second": 618.22,
      "eval_steps_per_second": 9.727,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 4.477880954742432,
      "learning_rate": 7e-05,
      "loss": 0.1171,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8696,
      "eval_loss": 0.5393248200416565,
      "eval_runtime": 5.8321,
      "eval_samples_per_second": 642.99,
      "eval_steps_per_second": 10.116,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 52.42342758178711,
      "learning_rate": 7e-05,
      "loss": 0.1025,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8714666666666666,
      "eval_loss": 0.534389317035675,
      "eval_runtime": 5.8688,
      "eval_samples_per_second": 638.97,
      "eval_steps_per_second": 10.053,
      "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
}