Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0107

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0107
File size: 2,792 Bytes
e723fdb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.8946666666666667,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0107/checkpoints/checkpoint-1665",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 1665,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 67.47323608398438,
      "learning_rate": 9e-05,
      "loss": 2.8884,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7042666666666667,
      "eval_loss": 1.135634422302246,
      "eval_runtime": 5.3995,
      "eval_samples_per_second": 694.515,
      "eval_steps_per_second": 10.927,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 64.94908905029297,
      "learning_rate": 9e-05,
      "loss": 0.7639,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8402666666666667,
      "eval_loss": 0.5320410132408142,
      "eval_runtime": 5.4046,
      "eval_samples_per_second": 693.851,
      "eval_steps_per_second": 10.917,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 100.99279022216797,
      "learning_rate": 9e-05,
      "loss": 0.4616,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8725333333333334,
      "eval_loss": 0.4059027135372162,
      "eval_runtime": 5.374,
      "eval_samples_per_second": 697.801,
      "eval_steps_per_second": 10.979,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 105.75826263427734,
      "learning_rate": 9e-05,
      "loss": 0.3473,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8824,
      "eval_loss": 0.38451504707336426,
      "eval_runtime": 5.438,
      "eval_samples_per_second": 689.596,
      "eval_steps_per_second": 10.85,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 50.78847122192383,
      "learning_rate": 9e-05,
      "loss": 0.2619,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8946666666666667,
      "eval_loss": 0.34052473306655884,
      "eval_runtime": 5.4087,
      "eval_samples_per_second": 693.333,
      "eval_steps_per_second": 10.908,
      "step": 1665
    }
  ],
  "logging_steps": 500,
  "max_steps": 1665,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "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": 4.088214619776e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}