Hugging Face's logo

ProbeX
/
Model-J__MAE__model_idx_0381

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__MAE__model_idx_0381
File size: 3,884 Bytes 
468a908
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
 
{
  "best_metric": 0.5402666666666667,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0381/checkpoints/checkpoint-2664",
  "epoch": 8.0,
  "eval_steps": 500,
  "global_step": 2664,
  "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": 0.0005,
      "loss": 3.1453,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.2296,
      "eval_loss": 2.7903218269348145,
      "eval_runtime": 5.8208,
      "eval_samples_per_second": 644.239,
      "eval_steps_per_second": 10.136,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 11.697076797485352,
      "learning_rate": 0.0005,
      "loss": 2.5127,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.34053333333333335,
      "eval_loss": 2.330362558364868,
      "eval_runtime": 6.1056,
      "eval_samples_per_second": 614.191,
      "eval_steps_per_second": 9.663,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": Infinity,
      "learning_rate": 0.0005,
      "loss": 2.1282,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.3968,
      "eval_loss": 2.1446287631988525,
      "eval_runtime": 5.7657,
      "eval_samples_per_second": 650.397,
      "eval_steps_per_second": 10.233,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": Infinity,
      "learning_rate": 0.0005,
      "loss": 1.8235,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.4528,
      "eval_loss": 1.934847354888916,
      "eval_runtime": 6.4506,
      "eval_samples_per_second": 581.342,
      "eval_steps_per_second": 9.146,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 11.345407485961914,
      "learning_rate": 0.0005,
      "loss": 1.551,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.4922666666666667,
      "eval_loss": 1.8059167861938477,
      "eval_runtime": 5.8007,
      "eval_samples_per_second": 646.472,
      "eval_steps_per_second": 10.171,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 11.446589469909668,
      "learning_rate": 0.0005,
      "loss": 1.2733,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.4952,
      "eval_loss": 1.7578359842300415,
      "eval_runtime": 5.9383,
      "eval_samples_per_second": 631.496,
      "eval_steps_per_second": 9.936,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 23.35776710510254,
      "learning_rate": 0.0005,
      "loss": 1.0169,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.512,
      "eval_loss": 1.8086161613464355,
      "eval_runtime": 5.6344,
      "eval_samples_per_second": 665.554,
      "eval_steps_per_second": 10.471,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": 0.4003744125366211,
      "learning_rate": 0.0005,
      "loss": 0.7565,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.5402666666666667,
      "eval_loss": 1.7901859283447266,
      "eval_runtime": 6.7878,
      "eval_samples_per_second": 552.46,
      "eval_steps_per_second": 8.692,
      "step": 2664
    }
  ],
  "logging_steps": 500,
  "max_steps": 2997,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "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": 1.317930564980736e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}