Hugging Face's logo

ProbeX
/
Model-J__MAE__model_idx_0380

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__MAE__model_idx_0380
File size: 3,576 Bytes 
121d295
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
 
{
  "best_metric": 0.8157333333333333,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0380/checkpoints/checkpoint-2331",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 2331,
  "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": 0.0003,
      "loss": 1.912,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7234666666666667,
      "eval_loss": 0.8676877617835999,
      "eval_runtime": 6.4055,
      "eval_samples_per_second": 585.436,
      "eval_steps_per_second": 9.211,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.31269341707229614,
      "learning_rate": 0.0003,
      "loss": 0.6812,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7778666666666667,
      "eval_loss": 0.7085742354393005,
      "eval_runtime": 8.3736,
      "eval_samples_per_second": 447.834,
      "eval_steps_per_second": 7.046,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.8178706169128418,
      "learning_rate": 0.0003,
      "loss": 0.4142,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7810666666666667,
      "eval_loss": 0.7226043343544006,
      "eval_runtime": 6.6156,
      "eval_samples_per_second": 566.843,
      "eval_steps_per_second": 8.918,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 6.784552574157715,
      "learning_rate": 0.0003,
      "loss": 0.2912,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8061333333333334,
      "eval_loss": 0.6577738523483276,
      "eval_runtime": 7.2206,
      "eval_samples_per_second": 519.346,
      "eval_steps_per_second": 8.171,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 3.5618534088134766,
      "learning_rate": 0.0003,
      "loss": 0.211,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8141333333333334,
      "eval_loss": 0.6421175599098206,
      "eval_runtime": 6.2541,
      "eval_samples_per_second": 599.608,
      "eval_steps_per_second": 9.434,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.41744890809059143,
      "learning_rate": 0.0003,
      "loss": 0.1705,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8018666666666666,
      "eval_loss": 0.743894636631012,
      "eval_runtime": 6.8981,
      "eval_samples_per_second": 543.625,
      "eval_steps_per_second": 8.553,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 0.027371443808078766,
      "learning_rate": 0.0003,
      "loss": 0.1492,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8157333333333333,
      "eval_loss": 0.7092033624649048,
      "eval_runtime": 6.6121,
      "eval_samples_per_second": 567.141,
      "eval_steps_per_second": 8.923,
      "step": 2331
    }
  ],
  "logging_steps": 500,
  "max_steps": 2331,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "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": 1.153189244358144e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}