Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0485

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0485
File size: 3,281 Bytes 
df8fb52
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9445333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0485/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": 1.0169850587844849,
      "learning_rate": 2.8002157758785897e-05,
      "loss": 1.1643,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9210666666666667,
      "eval_loss": 0.3016650974750519,
      "eval_runtime": 10.8702,
      "eval_samples_per_second": 344.979,
      "eval_steps_per_second": 5.428,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 44.898460388183594,
      "learning_rate": 2.2520416388814085e-05,
      "loss": 0.1711,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9301333333333334,
      "eval_loss": 0.22779260575771332,
      "eval_runtime": 10.8249,
      "eval_samples_per_second": 346.423,
      "eval_steps_per_second": 5.45,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.1293007135391235,
      "learning_rate": 1.5023585520713769e-05,
      "loss": 0.067,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9344,
      "eval_loss": 0.21653564274311066,
      "eval_runtime": 10.6701,
      "eval_samples_per_second": 351.45,
      "eval_steps_per_second": 5.529,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.252564936876297,
      "learning_rate": 7.520434931385125e-06,
      "loss": 0.0259,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9402666666666667,
      "eval_loss": 0.2195741832256317,
      "eval_runtime": 11.4576,
      "eval_samples_per_second": 327.294,
      "eval_steps_per_second": 5.149,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.051233094185590744,
      "learning_rate": 2.0214277619278764e-06,
      "loss": 0.0138,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9432,
      "eval_loss": 0.20971323549747467,
      "eval_runtime": 11.2418,
      "eval_samples_per_second": 333.578,
      "eval_steps_per_second": 5.248,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.05385765805840492,
      "learning_rate": 1.8542571038615563e-11,
      "loss": 0.01,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9445333333333333,
      "eval_loss": 0.20542864501476288,
      "eval_runtime": 11.0007,
      "eval_samples_per_second": 340.889,
      "eval_steps_per_second": 5.363,
      "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
}