Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0729

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0729
File size: 2,879 Bytes 
ac9dade
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9045333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0729/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": 23.653322219848633,
      "learning_rate": 9.050623058764834e-05,
      "loss": 0.9365,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8013333333333333,
      "eval_loss": 0.6317003965377808,
      "eval_runtime": 14.1243,
      "eval_samples_per_second": 265.501,
      "eval_steps_per_second": 4.177,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 13.639701843261719,
      "learning_rate": 6.554054685128856e-05,
      "loss": 0.3478,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8496,
      "eval_loss": 0.4726497530937195,
      "eval_runtime": 13.045,
      "eval_samples_per_second": 287.467,
      "eval_steps_per_second": 4.523,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.03791068494319916,
      "learning_rate": 3.463890242149672e-05,
      "loss": 0.1449,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8842666666666666,
      "eval_loss": 0.3932645320892334,
      "eval_runtime": 13.2623,
      "eval_samples_per_second": 282.757,
      "eval_steps_per_second": 4.449,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.10124567151069641,
      "learning_rate": 9.604675162189414e-06,
      "loss": 0.0432,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9013333333333333,
      "eval_loss": 0.3370567560195923,
      "eval_runtime": 13.2796,
      "eval_samples_per_second": 282.388,
      "eval_steps_per_second": 4.443,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.001211998169310391,
      "learning_rate": 8.900433292047261e-11,
      "loss": 0.0107,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9045333333333333,
      "eval_loss": 0.32683229446411133,
      "eval_runtime": 13.3685,
      "eval_samples_per_second": 280.511,
      "eval_steps_per_second": 4.413,
      "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
}