Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0800

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0800
File size: 2,398 Bytes 
046b36e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.7181333333333333,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0800/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": 88.87332916259766,
      "learning_rate": 3.7500000000000003e-05,
      "loss": 3.6998,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.4416,
      "eval_loss": 3.244401216506958,
      "eval_runtime": 8.2373,
      "eval_samples_per_second": 455.248,
      "eval_steps_per_second": 7.163,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 350.59375,
      "learning_rate": 2.5e-05,
      "loss": 2.3883,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6269333333333333,
      "eval_loss": 1.642019510269165,
      "eval_runtime": 7.6523,
      "eval_samples_per_second": 490.048,
      "eval_steps_per_second": 7.71,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 344.8207702636719,
      "learning_rate": 1.25e-05,
      "loss": 1.3934,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7016,
      "eval_loss": 1.2027443647384644,
      "eval_runtime": 7.6429,
      "eval_samples_per_second": 490.651,
      "eval_steps_per_second": 7.72,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 248.98422241210938,
      "learning_rate": 0.0,
      "loss": 1.1314,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7181333333333333,
      "eval_loss": 1.085073471069336,
      "eval_runtime": 8.0608,
      "eval_samples_per_second": 465.213,
      "eval_steps_per_second": 7.319,
      "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
}