Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0105

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0105
File size: 4,270 Bytes 
871f748
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8824,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0105/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": 93.66116333007812,
      "learning_rate": 5e-05,
      "loss": 3.5781,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6104,
      "eval_loss": 2.789259910583496,
      "eval_runtime": 5.0483,
      "eval_samples_per_second": 742.828,
      "eval_steps_per_second": 11.687,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 201.43775939941406,
      "learning_rate": 5e-05,
      "loss": 1.4405,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7949333333333334,
      "eval_loss": 0.7377238869667053,
      "eval_runtime": 5.0168,
      "eval_samples_per_second": 747.492,
      "eval_steps_per_second": 11.761,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 250.66461181640625,
      "learning_rate": 5e-05,
      "loss": 0.629,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8264,
      "eval_loss": 0.5450374484062195,
      "eval_runtime": 5.0629,
      "eval_samples_per_second": 740.681,
      "eval_steps_per_second": 11.653,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 74.75858306884766,
      "learning_rate": 5e-05,
      "loss": 0.4378,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8552,
      "eval_loss": 0.44762372970581055,
      "eval_runtime": 5.0272,
      "eval_samples_per_second": 745.94,
      "eval_steps_per_second": 11.736,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 80.36298370361328,
      "learning_rate": 5e-05,
      "loss": 0.3234,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8597333333333333,
      "eval_loss": 0.43369361758232117,
      "eval_runtime": 4.9875,
      "eval_samples_per_second": 751.878,
      "eval_steps_per_second": 11.83,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 91.50684356689453,
      "learning_rate": 5e-05,
      "loss": 0.2549,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8688,
      "eval_loss": 0.41042885184288025,
      "eval_runtime": 4.9887,
      "eval_samples_per_second": 751.701,
      "eval_steps_per_second": 11.827,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 314.6053771972656,
      "learning_rate": 5e-05,
      "loss": 0.1862,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8736,
      "eval_loss": 0.3988228440284729,
      "eval_runtime": 4.9659,
      "eval_samples_per_second": 755.146,
      "eval_steps_per_second": 11.881,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": 268.6302795410156,
      "learning_rate": 5e-05,
      "loss": 0.1446,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8770666666666667,
      "eval_loss": 0.4174762964248657,
      "eval_runtime": 4.9576,
      "eval_samples_per_second": 756.422,
      "eval_steps_per_second": 11.901,
      "step": 2664
    },
    {
      "epoch": 9.0,
      "grad_norm": 75.27823638916016,
      "learning_rate": 5e-05,
      "loss": 0.1066,
      "step": 2997
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8824,
      "eval_loss": 0.3900984227657318,
      "eval_runtime": 5.1401,
      "eval_samples_per_second": 729.561,
      "eval_steps_per_second": 11.478,
      "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
}