Hugging Face's logo

ProbeX
/
Model-J__DINO__model_idx_0045

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__DINO__model_idx_0045
File size: 4,059 Bytes 
16df3bb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
 
{
  "best_metric": 0.41146666666666665,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0045/checkpoints/checkpoint-2664",
  "epoch": 8.0,
  "eval_steps": 500,
  "global_step": 2664,
  "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": 0.0004380630630630631,
      "loss": 3.5253,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.18746666666666667,
      "eval_loss": 3.066896915435791,
      "eval_runtime": 6.49,
      "eval_samples_per_second": 577.811,
      "eval_steps_per_second": 9.091,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 16.248388290405273,
      "learning_rate": 0.0003755630630630631,
      "loss": 2.9821,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.23946666666666666,
      "eval_loss": 2.8167800903320312,
      "eval_runtime": 6.2728,
      "eval_samples_per_second": 597.821,
      "eval_steps_per_second": 9.406,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 22.379396438598633,
      "learning_rate": 0.0003130630630630631,
      "loss": 2.7504,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.2770666666666667,
      "eval_loss": 2.6739094257354736,
      "eval_runtime": 6.363,
      "eval_samples_per_second": 589.347,
      "eval_steps_per_second": 9.272,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 21.272457122802734,
      "learning_rate": 0.0002505630630630631,
      "loss": 2.5736,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.31733333333333336,
      "eval_loss": 2.4984865188598633,
      "eval_runtime": 6.4913,
      "eval_samples_per_second": 577.696,
      "eval_steps_per_second": 9.089,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 36.86085891723633,
      "learning_rate": 0.00018806306306306305,
      "loss": 2.3706,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.3392,
      "eval_loss": 2.3726093769073486,
      "eval_runtime": 6.6156,
      "eval_samples_per_second": 566.844,
      "eval_steps_per_second": 8.918,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 26.497859954833984,
      "learning_rate": 0.00012556306306306305,
      "loss": 2.164,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.3834666666666667,
      "eval_loss": 2.2380142211914062,
      "eval_runtime": 6.3675,
      "eval_samples_per_second": 588.926,
      "eval_steps_per_second": 9.266,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 31.70774269104004,
      "learning_rate": 6.306306306306306e-05,
      "loss": 1.9415,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.4026666666666667,
      "eval_loss": 2.1743690967559814,
      "eval_runtime": 6.4665,
      "eval_samples_per_second": 579.913,
      "eval_steps_per_second": 9.124,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": Infinity,
      "learning_rate": 7.507507507507508e-07,
      "loss": 1.6791,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.41146666666666665,
      "eval_loss": 2.143007755279541,
      "eval_runtime": 6.9574,
      "eval_samples_per_second": 538.995,
      "eval_steps_per_second": 8.48,
      "step": 2664
    }
  ],
  "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": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.317930564980736e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}