Hugging Face's logo

prithivMLmods
/
WBC-Type-Classifier

Image Classification
Transformers
Safetensors
English
siglip
WBC
Type
Classifier
Model card Files
xet
Community
WBC-Type-Classifier
File size: 2,678 Bytes 
dfac7d6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_global_step": 2140,
  "best_metric": 0.036939047276973724,
  "best_model_checkpoint": "siglip2-finetune-full/checkpoint-2140",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 2140,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9345794392523364,
      "grad_norm": 31.528762817382812,
      "learning_rate": 1.569377990430622e-06,
      "loss": 0.4718,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9598642639831501,
      "eval_loss": 0.11998829245567322,
      "eval_model_preparation_time": 0.0023,
      "eval_runtime": 230.2816,
      "eval_samples_per_second": 74.222,
      "eval_steps_per_second": 9.28,
      "step": 535
    },
    {
      "epoch": 1.8691588785046729,
      "grad_norm": 64.2021484375,
      "learning_rate": 1.0909090909090908e-06,
      "loss": 0.0791,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9866604259302598,
      "eval_loss": 0.04388454183936119,
      "eval_model_preparation_time": 0.0023,
      "eval_runtime": 230.6112,
      "eval_samples_per_second": 74.116,
      "eval_steps_per_second": 9.267,
      "step": 1070
    },
    {
      "epoch": 2.803738317757009,
      "grad_norm": 25.20854377746582,
      "learning_rate": 6.124401913875598e-07,
      "loss": 0.0556,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9891762227942897,
      "eval_loss": 0.037551190704107285,
      "eval_model_preparation_time": 0.0023,
      "eval_runtime": 229.0505,
      "eval_samples_per_second": 74.621,
      "eval_steps_per_second": 9.33,
      "step": 1605
    },
    {
      "epoch": 3.7383177570093458,
      "grad_norm": 4.499149799346924,
      "learning_rate": 1.3397129186602872e-07,
      "loss": 0.0462,
      "step": 2000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.989117715890475,
      "eval_loss": 0.036939047276973724,
      "eval_model_preparation_time": 0.0023,
      "eval_runtime": 228.5424,
      "eval_samples_per_second": 74.787,
      "eval_steps_per_second": 9.351,
      "step": 2140
    }
  ],
  "logging_steps": 500,
  "max_steps": 2140,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "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": 5.726480642613707e+18,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}