Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0437

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0437
File size: 4,287 Bytes
e90cb3d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8666666666666667,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0437/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": 85.53441619873047,
      "learning_rate": 3e-05,
      "loss": 3.8564,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.32293333333333335,
      "eval_loss": 3.747537851333618,
      "eval_runtime": 7.5935,
      "eval_samples_per_second": 493.843,
      "eval_steps_per_second": 7.77,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 173.04058837890625,
      "learning_rate": 3e-05,
      "loss": 3.1467,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5632,
      "eval_loss": 2.251485586166382,
      "eval_runtime": 7.613,
      "eval_samples_per_second": 492.578,
      "eval_steps_per_second": 7.75,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 275.196044921875,
      "learning_rate": 3e-05,
      "loss": 1.5929,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7162666666666667,
      "eval_loss": 1.1360286474227905,
      "eval_runtime": 7.9747,
      "eval_samples_per_second": 470.238,
      "eval_steps_per_second": 7.398,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 169.09400939941406,
      "learning_rate": 3e-05,
      "loss": 0.9567,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7786666666666666,
      "eval_loss": 0.7654730677604675,
      "eval_runtime": 7.569,
      "eval_samples_per_second": 495.44,
      "eval_steps_per_second": 7.795,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 415.43585205078125,
      "learning_rate": 3e-05,
      "loss": 0.7278,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8136,
      "eval_loss": 0.6191505193710327,
      "eval_runtime": 8.2029,
      "eval_samples_per_second": 457.158,
      "eval_steps_per_second": 7.193,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 188.81103515625,
      "learning_rate": 3e-05,
      "loss": 0.5949,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8232,
      "eval_loss": 0.5625346302986145,
      "eval_runtime": 7.7,
      "eval_samples_per_second": 487.015,
      "eval_steps_per_second": 7.662,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 256.2063293457031,
      "learning_rate": 3e-05,
      "loss": 0.5059,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8498666666666667,
      "eval_loss": 0.48416635394096375,
      "eval_runtime": 7.6377,
      "eval_samples_per_second": 490.988,
      "eval_steps_per_second": 7.725,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": 415.6106872558594,
      "learning_rate": 3e-05,
      "loss": 0.4579,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8576,
      "eval_loss": 0.4530128240585327,
      "eval_runtime": 7.6789,
      "eval_samples_per_second": 488.351,
      "eval_steps_per_second": 7.683,
      "step": 2664
    },
    {
      "epoch": 9.0,
      "grad_norm": 184.34814453125,
      "learning_rate": 3e-05,
      "loss": 0.4016,
      "step": 2997
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8666666666666667,
      "eval_loss": 0.43871086835861206,
      "eval_runtime": 7.9982,
      "eval_samples_per_second": 468.858,
      "eval_steps_per_second": 7.377,
      "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": 7.3587863155968e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}