Hugging Face's logo

ProbeX
/
Model-J__ResNet__model_idx_0282

Image Classification
Transformers
Safetensors
resnet
probex
model-j
weight-space-learning
Model card Files
xet
Community
Model-J__ResNet__model_idx_0282
File size: 2,482 Bytes 
4019ade
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.9010666666666667,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0282/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": 70.92640686035156,
      "learning_rate": 0.0002713525491562421,
      "loss": 1.5244,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8362666666666667,
      "eval_loss": 0.5233182311058044,
      "eval_runtime": 16.4868,
      "eval_samples_per_second": 227.454,
      "eval_steps_per_second": 3.579,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 38.3804817199707,
      "learning_rate": 0.0001963525491562421,
      "loss": 0.3904,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8845333333333333,
      "eval_loss": 0.37630128860473633,
      "eval_runtime": 15.7009,
      "eval_samples_per_second": 238.839,
      "eval_steps_per_second": 3.758,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 51.94040298461914,
      "learning_rate": 0.0001036474508437579,
      "loss": 0.194,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8914666666666666,
      "eval_loss": 0.3653945326805115,
      "eval_runtime": 15.6906,
      "eval_samples_per_second": 238.996,
      "eval_steps_per_second": 3.76,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 58.74272918701172,
      "learning_rate": 2.8647450843757897e-05,
      "loss": 0.0983,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9010666666666667,
      "eval_loss": 0.3486242890357971,
      "eval_runtime": 15.4705,
      "eval_samples_per_second": 242.397,
      "eval_steps_per_second": 3.814,
      "step": 1332
    }
  ],
  "logging_steps": 500,
  "max_steps": 1665,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 3.2705716958208e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}