Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0378

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0378
File size: 3,220 Bytes 
8dbd58d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
 
{
  "best_metric": 0.8661333333333333,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0378/checkpoints/checkpoint-1998",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 1998,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 351.08154296875,
      "learning_rate": 5.833333333333333e-05,
      "loss": 3.338,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.616,
      "eval_loss": 1.8797506093978882,
      "eval_runtime": 7.9636,
      "eval_samples_per_second": 470.894,
      "eval_steps_per_second": 7.409,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 200.6509552001953,
      "learning_rate": 4.666666666666666e-05,
      "loss": 1.036,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8117333333333333,
      "eval_loss": 0.6812692880630493,
      "eval_runtime": 7.7354,
      "eval_samples_per_second": 484.782,
      "eval_steps_per_second": 7.627,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 227.67933654785156,
      "learning_rate": 3.5e-05,
      "loss": 0.5579,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8456,
      "eval_loss": 0.5318609476089478,
      "eval_runtime": 7.7905,
      "eval_samples_per_second": 481.358,
      "eval_steps_per_second": 7.573,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 102.95213317871094,
      "learning_rate": 2.333333333333333e-05,
      "loss": 0.4081,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8517333333333333,
      "eval_loss": 0.47886979579925537,
      "eval_runtime": 8.9399,
      "eval_samples_per_second": 419.466,
      "eval_steps_per_second": 6.6,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 315.458740234375,
      "learning_rate": 1.1666666666666665e-05,
      "loss": 0.3307,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8586666666666667,
      "eval_loss": 0.4576277434825897,
      "eval_runtime": 8.0824,
      "eval_samples_per_second": 463.97,
      "eval_steps_per_second": 7.3,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 333.52325439453125,
      "learning_rate": 0.0,
      "loss": 0.292,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8661333333333333,
      "eval_loss": 0.44635719060897827,
      "eval_runtime": 7.9883,
      "eval_samples_per_second": 469.438,
      "eval_steps_per_second": 7.386,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 1998,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "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": 4.9058575437312e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}