Hugging Face's logo

ProbeX
/
Model-J__MAE__model_idx_0619

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__MAE__model_idx_0619
File size: 2,842 Bytes 
733c732
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.8648,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0619/checkpoints/checkpoint-1665",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 1665,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": Infinity,
      "learning_rate": 0.00028013902315014017,
      "loss": 2.7816,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5032,
      "eval_loss": 1.771379828453064,
      "eval_runtime": 5.8448,
      "eval_samples_per_second": 641.596,
      "eval_steps_per_second": 10.094,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 8.849154472351074,
      "learning_rate": 0.00022540814184580826,
      "loss": 1.1395,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7197333333333333,
      "eval_loss": 0.9229351282119751,
      "eval_runtime": 5.831,
      "eval_samples_per_second": 643.117,
      "eval_steps_per_second": 10.118,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 23.352018356323242,
      "learning_rate": 0.00015047170983116046,
      "loss": 0.592,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8077333333333333,
      "eval_loss": 0.6507498621940613,
      "eval_runtime": 5.7119,
      "eval_samples_per_second": 656.528,
      "eval_steps_per_second": 10.329,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 41.68098449707031,
      "learning_rate": 7.540888354819138e-05,
      "loss": 0.2882,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8485333333333334,
      "eval_loss": 0.5088062286376953,
      "eval_runtime": 5.8036,
      "eval_samples_per_second": 646.147,
      "eval_steps_per_second": 10.166,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.05891241505742073,
      "learning_rate": 2.0332686681020267e-05,
      "loss": 0.1104,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8648,
      "eval_loss": 0.47200652956962585,
      "eval_runtime": 5.743,
      "eval_samples_per_second": 652.97,
      "eval_steps_per_second": 10.273,
      "step": 1665
    }
  ],
  "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": false
      },
      "attributes": {}
    }
  },
  "total_flos": 8.2370660311296e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}