Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0469

Safetensors
resnet
Model card Files Community
Model-J__ResNet__model_idx_0469
File size: 2,383 Bytes 
7951544
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8376,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0469/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": 62.07609939575195,
      "learning_rate": 3e-05,
      "loss": 3.8133,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.4696,
      "eval_loss": 3.6090831756591797,
      "eval_runtime": 14.1229,
      "eval_samples_per_second": 265.526,
      "eval_steps_per_second": 4.178,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 124.3885269165039,
      "learning_rate": 3e-05,
      "loss": 2.8292,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 1.855066180229187,
      "eval_runtime": 14.2193,
      "eval_samples_per_second": 263.725,
      "eval_steps_per_second": 4.149,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 119.76927947998047,
      "learning_rate": 3e-05,
      "loss": 1.2073,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8045333333333333,
      "eval_loss": 0.8274251222610474,
      "eval_runtime": 14.1167,
      "eval_samples_per_second": 265.643,
      "eval_steps_per_second": 4.179,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 152.52467346191406,
      "learning_rate": 3e-05,
      "loss": 0.6702,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8376,
      "eval_loss": 0.5758199691772461,
      "eval_runtime": 13.8947,
      "eval_samples_per_second": 269.886,
      "eval_steps_per_second": 4.246,
      "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
}