Hugging Face's logo

Nitish2801
/
deit-base-patch16-224-finetuned-footulcer

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
deit-base-patch16-224-finetuned-footulcer
File size: 2,623 Bytes 
fa14d12
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9913793103448276,
  "best_model_checkpoint": "deit-base-patch16-224-finetuned-footulcer/checkpoint-33",
  "epoch": 4.848484848484849,
  "eval_steps": 500,
  "global_step": 40,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.97,
      "eval_accuracy": 0.896551724137931,
      "eval_loss": 0.2488032728433609,
      "eval_runtime": 1.7452,
      "eval_samples_per_second": 66.468,
      "eval_steps_per_second": 2.292,
      "step": 8
    },
    {
      "epoch": 1.21,
      "grad_norm": 4.05413818359375,
      "learning_rate": 4.166666666666667e-05,
      "loss": 0.5125,
      "step": 10
    },
    {
      "epoch": 1.94,
      "eval_accuracy": 0.9310344827586207,
      "eval_loss": 0.1674669086933136,
      "eval_runtime": 1.082,
      "eval_samples_per_second": 107.209,
      "eval_steps_per_second": 3.697,
      "step": 16
    },
    {
      "epoch": 2.42,
      "grad_norm": 2.395897388458252,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.2843,
      "step": 20
    },
    {
      "epoch": 2.91,
      "eval_accuracy": 0.9827586206896551,
      "eval_loss": 0.06786822527647018,
      "eval_runtime": 1.0557,
      "eval_samples_per_second": 109.877,
      "eval_steps_per_second": 3.789,
      "step": 24
    },
    {
      "epoch": 3.64,
      "grad_norm": 4.113508701324463,
      "learning_rate": 1.388888888888889e-05,
      "loss": 0.1876,
      "step": 30
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9913793103448276,
      "eval_loss": 0.045198433101177216,
      "eval_runtime": 1.0467,
      "eval_samples_per_second": 110.824,
      "eval_steps_per_second": 3.822,
      "step": 33
    },
    {
      "epoch": 4.85,
      "grad_norm": 2.2138736248016357,
      "learning_rate": 0.0,
      "loss": 0.1566,
      "step": 40
    },
    {
      "epoch": 4.85,
      "eval_accuracy": 0.9913793103448276,
      "eval_loss": 0.038901545107364655,
      "eval_runtime": 1.0297,
      "eval_samples_per_second": 112.652,
      "eval_steps_per_second": 3.885,
      "step": 40
    },
    {
      "epoch": 4.85,
      "step": 40,
      "total_flos": 3.914895315329188e+17,
      "train_loss": 0.2852296233177185,
      "train_runtime": 186.2852,
      "train_samples_per_second": 27.887,
      "train_steps_per_second": 0.215
    }
  ],
  "logging_steps": 10,
  "max_steps": 40,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 3.914895315329188e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}