Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0835

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0835
File size: 3,252 Bytes 
683a29d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9333333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0835/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": 0.16416391730308533,
      "learning_rate": 9.330127018922194e-05,
      "loss": 0.6705,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9069333333333334,
      "eval_loss": 0.2974901497364044,
      "eval_runtime": 7.2575,
      "eval_samples_per_second": 516.706,
      "eval_steps_per_second": 8.13,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.07420966774225235,
      "learning_rate": 7.500000000000001e-05,
      "loss": 0.1801,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.912,
      "eval_loss": 0.28495562076568604,
      "eval_runtime": 7.375,
      "eval_samples_per_second": 508.473,
      "eval_steps_per_second": 8.0,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.08075325191020966,
      "learning_rate": 5e-05,
      "loss": 0.0879,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9090666666666667,
      "eval_loss": 0.3224937915802002,
      "eval_runtime": 8.0755,
      "eval_samples_per_second": 464.369,
      "eval_steps_per_second": 7.306,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.023187773302197456,
      "learning_rate": 2.500000000000001e-05,
      "loss": 0.0376,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9266666666666666,
      "eval_loss": 0.27509814500808716,
      "eval_runtime": 7.4651,
      "eval_samples_per_second": 502.335,
      "eval_steps_per_second": 7.903,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.5813816785812378,
      "learning_rate": 6.698729810778065e-06,
      "loss": 0.0141,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9293333333333333,
      "eval_loss": 0.26587092876434326,
      "eval_runtime": 7.2329,
      "eval_samples_per_second": 518.466,
      "eval_steps_per_second": 8.157,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.015966249629855156,
      "learning_rate": 0.0,
      "loss": 0.0076,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9333333333333333,
      "eval_loss": 0.2559289336204529,
      "eval_runtime": 7.7823,
      "eval_samples_per_second": 481.865,
      "eval_steps_per_second": 7.581,
      "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
}