File size: 3,256 Bytes
fc5e797
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.8802666666666666,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0530/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": 304.3556823730469,
      "learning_rate": 7.714285714285714e-05,
      "loss": 2.9684,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6989333333333333,
      "eval_loss": 1.1684645414352417,
      "eval_runtime": 5.4454,
      "eval_samples_per_second": 688.651,
      "eval_steps_per_second": 10.835,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 77.52046966552734,
      "learning_rate": 6.428571428571429e-05,
      "loss": 0.8187,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8216,
      "eval_loss": 0.5993229150772095,
      "eval_runtime": 5.5251,
      "eval_samples_per_second": 678.715,
      "eval_steps_per_second": 10.678,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 92.13040161132812,
      "learning_rate": 5.142857142857143e-05,
      "loss": 0.5334,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8472,
      "eval_loss": 0.48329269886016846,
      "eval_runtime": 5.4263,
      "eval_samples_per_second": 691.083,
      "eval_steps_per_second": 10.873,
      "step": 999
    },
    {
      "epoch": 4.0,
      "grad_norm": 124.91905975341797,
      "learning_rate": 3.857142857142857e-05,
      "loss": 0.4036,
      "step": 1332
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8642666666666666,
      "eval_loss": 0.4417882561683655,
      "eval_runtime": 8.0689,
      "eval_samples_per_second": 464.745,
      "eval_steps_per_second": 7.312,
      "step": 1332
    },
    {
      "epoch": 5.0,
      "grad_norm": 44.56376266479492,
      "learning_rate": 2.5714285714285714e-05,
      "loss": 0.3273,
      "step": 1665
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8768,
      "eval_loss": 0.3942687213420868,
      "eval_runtime": 5.4344,
      "eval_samples_per_second": 690.054,
      "eval_steps_per_second": 10.857,
      "step": 1665
    },
    {
      "epoch": 6.0,
      "grad_norm": 91.54936981201172,
      "learning_rate": 1.2857142857142857e-05,
      "loss": 0.2957,
      "step": 1998
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8802666666666666,
      "eval_loss": 0.3845222294330597,
      "eval_runtime": 5.4396,
      "eval_samples_per_second": 689.391,
      "eval_steps_per_second": 10.846,
      "step": 1998
    }
  ],
  "logging_steps": 500,
  "max_steps": 2331,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "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": 4.9058575437312e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}