Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0656

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0656
File size: 2,761 Bytes
c85cc5d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8736,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0656/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": 171.50242614746094,
      "learning_rate": 5e-05,
      "loss": 3.5981,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5733333333333334,
      "eval_loss": 2.8123927116394043,
      "eval_runtime": 8.081,
      "eval_samples_per_second": 464.05,
      "eval_steps_per_second": 7.301,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 200.65841674804688,
      "learning_rate": 5e-05,
      "loss": 1.538,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7946666666666666,
      "eval_loss": 0.8104856014251709,
      "eval_runtime": 7.8994,
      "eval_samples_per_second": 474.721,
      "eval_steps_per_second": 7.469,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 56.31884765625,
      "learning_rate": 5e-05,
      "loss": 0.6627,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8408,
      "eval_loss": 0.5590971112251282,
      "eval_runtime": 7.8862,
      "eval_samples_per_second": 475.517,
      "eval_steps_per_second": 7.481,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 113.18806457519531,
      "learning_rate": 5e-05,
      "loss": 0.454,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8610666666666666,
      "eval_loss": 0.46225905418395996,
      "eval_runtime": 7.8883,
      "eval_samples_per_second": 475.389,
      "eval_steps_per_second": 7.479,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 328.9425964355469,
      "learning_rate": 5e-05,
      "loss": 0.3298,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8736,
      "eval_loss": 0.40600794553756714,
      "eval_runtime": 7.8723,
      "eval_samples_per_second": 476.356,
      "eval_steps_per_second": 7.495,
      "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
}