Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0335

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0335
File size: 2,401 Bytes 
8e41cb3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.8872,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0335/checkpoints/checkpoint-1332",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 1332,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 28.45093536376953,
      "learning_rate": 0.000375,
      "loss": 1.291,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8277333333333333,
      "eval_loss": 0.5559366941452026,
      "eval_runtime": 12.4551,
      "eval_samples_per_second": 301.082,
      "eval_steps_per_second": 4.737,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 38.268035888671875,
      "learning_rate": 0.00025,
      "loss": 0.4042,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8677333333333334,
      "eval_loss": 0.44679224491119385,
      "eval_runtime": 12.6212,
      "eval_samples_per_second": 297.119,
      "eval_steps_per_second": 4.675,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 51.983463287353516,
      "learning_rate": 0.000125,
      "loss": 0.2328,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8834666666666666,
      "eval_loss": 0.3962169587612152,
      "eval_runtime": 12.4138,
      "eval_samples_per_second": 302.083,
      "eval_steps_per_second": 4.753,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 37.18984603881836,
      "learning_rate": 0.0,
      "loss": 0.1307,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8872,
      "eval_loss": 0.3714931011199951,
      "eval_runtime": 12.4217,
      "eval_samples_per_second": 301.892,
      "eval_steps_per_second": 4.75,
      "step": 1332
    }
  ],
  "logging_steps": 500,
  "max_steps": 1332,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "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": 3.2705716958208e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}