Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0846

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0846
File size: 3,247 Bytes 
6cbc797
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.876,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0846/checkpoints/checkpoint-1998",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 1998,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 77.06702423095703,
      "learning_rate": 4.752422169756048e-05,
      "loss": 3.6613,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5853333333333334,
      "eval_loss": 3.072692632675171,
      "eval_runtime": 7.5701,
      "eval_samples_per_second": 495.367,
      "eval_steps_per_second": 7.794,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 107.75822448730469,
      "learning_rate": 4.058724504646834e-05,
      "loss": 1.8375,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7557333333333334,
      "eval_loss": 0.9727783799171448,
      "eval_runtime": 7.5136,
      "eval_samples_per_second": 499.093,
      "eval_steps_per_second": 7.852,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 215.87725830078125,
      "learning_rate": 3.056302334890786e-05,
      "loss": 0.8122,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8309333333333333,
      "eval_loss": 0.646449089050293,
      "eval_runtime": 7.5328,
      "eval_samples_per_second": 497.822,
      "eval_steps_per_second": 7.832,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 389.4276123046875,
      "learning_rate": 1.9436976651092144e-05,
      "loss": 0.5879,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8546666666666667,
      "eval_loss": 0.525234043598175,
      "eval_runtime": 7.5429,
      "eval_samples_per_second": 497.155,
      "eval_steps_per_second": 7.822,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 123.77269744873047,
      "learning_rate": 9.412754953531663e-06,
      "loss": 0.4895,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8648,
      "eval_loss": 0.4961576461791992,
      "eval_runtime": 7.5266,
      "eval_samples_per_second": 498.234,
      "eval_steps_per_second": 7.839,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 76.33296203613281,
      "learning_rate": 2.475778302439524e-06,
      "loss": 0.4472,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.876,
      "eval_loss": 0.46423813700675964,
      "eval_runtime": 7.4963,
      "eval_samples_per_second": 500.246,
      "eval_steps_per_second": 7.871,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 2331,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "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": 4.9058575437312e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}