Hugging Face's logo

ProbeX
/
Model-J__SupViT__model_idx_0492

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__SupViT__model_idx_0492
File size: 2,444 Bytes 
292d188
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.956,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0492/checkpoints/checkpoint-1332",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 1332,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.3090157210826874,
      "learning_rate": 8.140576474687264e-05,
      "loss": 0.5937,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.928,
      "eval_loss": 0.2539685070514679,
      "eval_runtime": 11.7694,
      "eval_samples_per_second": 318.623,
      "eval_steps_per_second": 5.013,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.4642195999622345,
      "learning_rate": 5.890576474687264e-05,
      "loss": 0.1115,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.928,
      "eval_loss": 0.23918262124061584,
      "eval_runtime": 10.5731,
      "eval_samples_per_second": 354.675,
      "eval_steps_per_second": 5.58,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.13227197527885437,
      "learning_rate": 3.1094235253127374e-05,
      "loss": 0.0364,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9485333333333333,
      "eval_loss": 0.19914676249027252,
      "eval_runtime": 10.8026,
      "eval_samples_per_second": 347.139,
      "eval_steps_per_second": 5.462,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.08412014693021774,
      "learning_rate": 8.59423525312737e-06,
      "loss": 0.0097,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.956,
      "eval_loss": 0.16843661665916443,
      "eval_runtime": 10.5131,
      "eval_samples_per_second": 356.699,
      "eval_steps_per_second": 5.612,
      "step": 1332
    }
  ],
  "logging_steps": 500,
  "max_steps": 1665,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "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": 6.58965282490368e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}