Hugging Face's logo

ProbeX
/
Model-J__MAE__model_idx_0814

Image Classification
Transformers
Safetensors
vit
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__MAE__model_idx_0814
File size: 4,276 Bytes 
e98a07b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
 
{
  "best_metric": 0.5762666666666667,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0814/checkpoints/checkpoint-2997",
  "epoch": 9.0,
  "eval_steps": 500,
  "global_step": 2997,
  "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": 3.0884,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.2768,
      "eval_loss": 2.6638107299804688,
      "eval_runtime": 7.8328,
      "eval_samples_per_second": 478.758,
      "eval_steps_per_second": 7.532,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": Infinity,
      "learning_rate": 0.0005,
      "loss": 2.4375,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.36293333333333333,
      "eval_loss": 2.2551214694976807,
      "eval_runtime": 7.5504,
      "eval_samples_per_second": 496.664,
      "eval_steps_per_second": 7.814,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 10.980779647827148,
      "learning_rate": 0.0005,
      "loss": 2.0387,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.4189333333333333,
      "eval_loss": 2.0556652545928955,
      "eval_runtime": 7.3644,
      "eval_samples_per_second": 509.203,
      "eval_steps_per_second": 8.011,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": Infinity,
      "learning_rate": 0.0005,
      "loss": 1.7771,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.47813333333333335,
      "eval_loss": 1.8299627304077148,
      "eval_runtime": 7.0755,
      "eval_samples_per_second": 530.001,
      "eval_steps_per_second": 8.339,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 17.12588119506836,
      "learning_rate": 0.0005,
      "loss": 1.5235,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.508,
      "eval_loss": 1.7319726943969727,
      "eval_runtime": 6.9139,
      "eval_samples_per_second": 542.383,
      "eval_steps_per_second": 8.533,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 9.439178466796875,
      "learning_rate": 0.0005,
      "loss": 1.3018,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.516,
      "eval_loss": 1.6726893186569214,
      "eval_runtime": 7.4163,
      "eval_samples_per_second": 505.64,
      "eval_steps_per_second": 7.955,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 18.08482551574707,
      "learning_rate": 0.0005,
      "loss": 1.1202,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.5717333333333333,
      "eval_loss": 1.4976463317871094,
      "eval_runtime": 7.0455,
      "eval_samples_per_second": 532.256,
      "eval_steps_per_second": 8.374,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": 2.147928476333618,
      "learning_rate": 0.0005,
      "loss": 0.9301,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.576,
      "eval_loss": 1.517060399055481,
      "eval_runtime": 6.8687,
      "eval_samples_per_second": 545.957,
      "eval_steps_per_second": 8.59,
      "step": 2664
    },
    {
      "epoch": 9.0,
      "grad_norm": 4.0907487869262695,
      "learning_rate": 0.0005,
      "loss": 0.7671,
      "step": 2997
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.5762666666666667,
      "eval_loss": 1.5678786039352417,
      "eval_runtime": 6.8313,
      "eval_samples_per_second": 548.945,
      "eval_steps_per_second": 8.637,
      "step": 2997
    }
  ],
  "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": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.482671885603328e+19,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}