Hugging Face's logo

ahishamm
/
vit-base-16-thesis-demo-PH2

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
vit-base-16-thesis-demo-PH2
File size: 1,891 Bytes 
70e6e13
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.07614374160766602,
  "best_model_checkpoint": "./vit-base-16-thesis-demo-PH2/checkpoint-50",
  "epoch": 4.0,
  "eval_steps": 50,
  "global_step": 80,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.5,
      "learning_rate": 0.000175,
      "loss": 0.3313,
      "step": 10
    },
    {
      "epoch": 1.0,
      "learning_rate": 0.00015000000000000001,
      "loss": 0.2035,
      "step": 20
    },
    {
      "epoch": 1.5,
      "learning_rate": 0.000125,
      "loss": 0.1033,
      "step": 30
    },
    {
      "epoch": 2.0,
      "learning_rate": 0.0001,
      "loss": 0.0258,
      "step": 40
    },
    {
      "epoch": 2.5,
      "learning_rate": 7.500000000000001e-05,
      "loss": 0.044,
      "step": 50
    },
    {
      "epoch": 2.5,
      "eval_accuracy": 0.984375,
      "eval_f1": 0.984375,
      "eval_loss": 0.07614374160766602,
      "eval_precision": 0.984375,
      "eval_recall": 0.984375,
      "eval_runtime": 1.566,
      "eval_samples_per_second": 40.868,
      "eval_steps_per_second": 5.109,
      "step": 50
    },
    {
      "epoch": 3.0,
      "learning_rate": 5e-05,
      "loss": 0.0182,
      "step": 60
    },
    {
      "epoch": 3.5,
      "learning_rate": 2.5e-05,
      "loss": 0.0309,
      "step": 70
    },
    {
      "epoch": 4.0,
      "learning_rate": 0.0,
      "loss": 0.0116,
      "step": 80
    },
    {
      "epoch": 4.0,
      "step": 80,
      "total_flos": 9.918974670667776e+16,
      "train_loss": 0.09609116911888123,
      "train_runtime": 67.2316,
      "train_samples_per_second": 19.039,
      "train_steps_per_second": 1.19
    }
  ],
  "logging_steps": 10,
  "max_steps": 80,
  "num_train_epochs": 4,
  "save_steps": 50,
  "total_flos": 9.918974670667776e+16,
  "trial_name": null,
  "trial_params": null
}