Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0508

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0508
File size: 3,929 Bytes
d7545be
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8544,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0508/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": 29.3706111907959,
      "learning_rate": 0.0005,
      "loss": 1.2974,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8133333333333334,
      "eval_loss": 0.6221215724945068,
      "eval_runtime": 12.316,
      "eval_samples_per_second": 304.481,
      "eval_steps_per_second": 4.791,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 39.48615264892578,
      "learning_rate": 0.0005,
      "loss": 0.4273,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8405333333333334,
      "eval_loss": 0.5527553558349609,
      "eval_runtime": 12.9523,
      "eval_samples_per_second": 289.523,
      "eval_steps_per_second": 4.555,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 28.045490264892578,
      "learning_rate": 0.0005,
      "loss": 0.252,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8397333333333333,
      "eval_loss": 0.5832853317260742,
      "eval_runtime": 12.6455,
      "eval_samples_per_second": 296.549,
      "eval_steps_per_second": 4.666,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 19.748994827270508,
      "learning_rate": 0.0005,
      "loss": 0.1781,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8522666666666666,
      "eval_loss": 0.5380047559738159,
      "eval_runtime": 12.3891,
      "eval_samples_per_second": 302.686,
      "eval_steps_per_second": 4.762,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 36.11511993408203,
      "learning_rate": 0.0005,
      "loss": 0.1395,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8525333333333334,
      "eval_loss": 0.5955322980880737,
      "eval_runtime": 12.2256,
      "eval_samples_per_second": 306.733,
      "eval_steps_per_second": 4.826,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 24.674785614013672,
      "learning_rate": 0.0005,
      "loss": 0.1025,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8472,
      "eval_loss": 0.6214481592178345,
      "eval_runtime": 12.2535,
      "eval_samples_per_second": 306.034,
      "eval_steps_per_second": 4.815,
      "step": 1998
    },
    {
      "epoch": 7.0,
      "grad_norm": 31.995697021484375,
      "learning_rate": 0.0005,
      "loss": 0.0888,
      "step": 2331
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8496,
      "eval_loss": 0.6372752785682678,
      "eval_runtime": 12.6811,
      "eval_samples_per_second": 295.717,
      "eval_steps_per_second": 4.653,
      "step": 2331
    },
    {
      "epoch": 8.0,
      "grad_norm": 25.495168685913086,
      "learning_rate": 0.0005,
      "loss": 0.0772,
      "step": 2664
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8544,
      "eval_loss": 0.6913248896598816,
      "eval_runtime": 12.2932,
      "eval_samples_per_second": 305.046,
      "eval_steps_per_second": 4.799,
      "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": 6.5411433916416e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}