Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0285

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0285
File size: 2,397 Bytes 
9bc5a8f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8696,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0285/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": 82.36766815185547,
      "learning_rate": 7.681980515339464e-05,
      "loss": 2.811,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7496,
      "eval_loss": 1.007891058921814,
      "eval_runtime": 7.4231,
      "eval_samples_per_second": 505.181,
      "eval_steps_per_second": 7.948,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 166.72305297851562,
      "learning_rate": 4.5e-05,
      "loss": 0.7142,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8512,
      "eval_loss": 0.503613293170929,
      "eval_runtime": 7.0685,
      "eval_samples_per_second": 530.521,
      "eval_steps_per_second": 8.347,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 175.9752197265625,
      "learning_rate": 1.3180194846605365e-05,
      "loss": 0.4589,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8677333333333334,
      "eval_loss": 0.4431128203868866,
      "eval_runtime": 7.2878,
      "eval_samples_per_second": 514.555,
      "eval_steps_per_second": 8.096,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 74.36175537109375,
      "learning_rate": 0.0,
      "loss": 0.3914,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8696,
      "eval_loss": 0.43353191018104553,
      "eval_runtime": 7.2128,
      "eval_samples_per_second": 519.907,
      "eval_steps_per_second": 8.18,
      "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
}