Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0346

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0346
File size: 3,169 Bytes 
03e87c4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.96,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0346/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": 4.611292362213135,
      "learning_rate": 3e-05,
      "loss": 1.128,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9469333333333333,
      "eval_loss": 0.24842382967472076,
      "eval_runtime": 4.3187,
      "eval_samples_per_second": 868.315,
      "eval_steps_per_second": 13.661,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": Infinity,
      "learning_rate": 3e-05,
      "loss": 0.1394,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9578666666666666,
      "eval_loss": 0.16906480491161346,
      "eval_runtime": 4.1067,
      "eval_samples_per_second": 913.132,
      "eval_steps_per_second": 14.367,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.15933063626289368,
      "learning_rate": 3e-05,
      "loss": 0.0512,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9509333333333333,
      "eval_loss": 0.18644753098487854,
      "eval_runtime": 4.2361,
      "eval_samples_per_second": 885.239,
      "eval_steps_per_second": 13.928,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.1135998964309692,
      "learning_rate": 3e-05,
      "loss": 0.0205,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9538666666666666,
      "eval_loss": 0.18307766318321228,
      "eval_runtime": 4.6611,
      "eval_samples_per_second": 804.528,
      "eval_steps_per_second": 12.658,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.11185336112976074,
      "learning_rate": 3e-05,
      "loss": 0.0106,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9578666666666666,
      "eval_loss": 0.1693788766860962,
      "eval_runtime": 4.2374,
      "eval_samples_per_second": 884.976,
      "eval_steps_per_second": 13.924,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.20613664388656616,
      "learning_rate": 3e-05,
      "loss": 0.0067,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.96,
      "eval_loss": 0.170301616191864,
      "eval_runtime": 4.0783,
      "eval_samples_per_second": 919.51,
      "eval_steps_per_second": 14.467,
      "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
}