Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0149

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0149
File size: 3,639 Bytes 
457ef62
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
 
{
  "best_metric": 0.924,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0149/checkpoints/checkpoint-2331",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 2331,
  "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": 9.623897705919314e-05,
      "loss": 0.8318,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.852,
      "eval_loss": 0.49417605996131897,
      "eval_runtime": 10.2249,
      "eval_samples_per_second": 366.751,
      "eval_steps_per_second": 5.77,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": Infinity,
      "learning_rate": 8.548019870451392e-05,
      "loss": 0.2971,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8770666666666667,
      "eval_loss": 0.43968045711517334,
      "eval_runtime": 11.9423,
      "eval_samples_per_second": 314.009,
      "eval_steps_per_second": 4.94,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 10.209015846252441,
      "learning_rate": 6.929747794976645e-05,
      "loss": 0.1598,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8765333333333334,
      "eval_loss": 0.4451209604740143,
      "eval_runtime": 10.4425,
      "eval_samples_per_second": 359.111,
      "eval_steps_per_second": 5.65,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.06677880883216858,
      "learning_rate": 5.0176891109240266e-05,
      "loss": 0.0799,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8784,
      "eval_loss": 0.4533880352973938,
      "eval_runtime": 10.133,
      "eval_samples_per_second": 370.079,
      "eval_steps_per_second": 5.823,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.00044394255382940173,
      "learning_rate": 3.1029374200854165e-05,
      "loss": 0.0315,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9061333333333333,
      "eval_loss": 0.4109884202480316,
      "eval_runtime": 11.1542,
      "eval_samples_per_second": 336.197,
      "eval_steps_per_second": 5.289,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.0011901799589395523,
      "learning_rate": 1.4769963101236895e-05,
      "loss": 0.0049,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9210666666666667,
      "eval_loss": 0.33768659830093384,
      "eval_runtime": 10.456,
      "eval_samples_per_second": 358.645,
      "eval_steps_per_second": 5.643,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 0.0005972718936391175,
      "learning_rate": 3.87400575837657e-06,
      "loss": 0.0012,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.924,
      "eval_loss": 0.33039429783821106,
      "eval_runtime": 10.5493,
      "eval_samples_per_second": 355.473,
      "eval_steps_per_second": 5.593,
      "step": 2331
    }
  ],
  "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": 1.153189244358144e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}