File size: 4,045 Bytes
925fa09
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
131
132
133
134
135
136
137
138
139
{
  "best_metric": 0.9901960784313726,
  "best_model_checkpoint": "distilhubert-finetuned-cry-detector/checkpoint-76",
  "epoch": 7.529411764705882,
  "eval_steps": 500,
  "global_step": 96,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9411764705882353,
      "eval_accuracy": 0.9558823529411765,
      "eval_f1": 0.9558168094824137,
      "eval_loss": 0.18768352270126343,
      "eval_precision": 0.9558008500901145,
      "eval_recall": 0.9558823529411765,
      "eval_runtime": 3.1767,
      "eval_samples_per_second": 64.218,
      "eval_steps_per_second": 8.185,
      "step": 12
    },
    {
      "epoch": 1.9607843137254903,
      "eval_accuracy": 0.9607843137254902,
      "eval_f1": 0.9603980954872683,
      "eval_loss": 0.10839918255805969,
      "eval_precision": 0.961865628604383,
      "eval_recall": 0.9607843137254902,
      "eval_runtime": 3.1396,
      "eval_samples_per_second": 64.977,
      "eval_steps_per_second": 8.281,
      "step": 25
    },
    {
      "epoch": 2.980392156862745,
      "eval_accuracy": 0.9607843137254902,
      "eval_f1": 0.9608937528499771,
      "eval_loss": 0.07022649049758911,
      "eval_precision": 0.9611995291537668,
      "eval_recall": 0.9607843137254902,
      "eval_runtime": 3.1392,
      "eval_samples_per_second": 64.985,
      "eval_steps_per_second": 8.282,
      "step": 38
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9705882352941176,
      "eval_f1": 0.9707454527863777,
      "eval_loss": 0.05151732638478279,
      "eval_precision": 0.9716895305130601,
      "eval_recall": 0.9705882352941176,
      "eval_runtime": 3.1558,
      "eval_samples_per_second": 64.644,
      "eval_steps_per_second": 8.239,
      "step": 51
    },
    {
      "epoch": 4.9411764705882355,
      "eval_accuracy": 0.9754901960784313,
      "eval_f1": 0.9754537830457853,
      "eval_loss": 0.04813842847943306,
      "eval_precision": 0.9754681544268864,
      "eval_recall": 0.9754901960784313,
      "eval_runtime": 3.2298,
      "eval_samples_per_second": 63.162,
      "eval_steps_per_second": 8.05,
      "step": 63
    },
    {
      "epoch": 5.96078431372549,
      "eval_accuracy": 0.9901960784313726,
      "eval_f1": 0.9901960784313726,
      "eval_loss": 0.030143579468131065,
      "eval_precision": 0.9901960784313726,
      "eval_recall": 0.9901960784313726,
      "eval_runtime": 3.162,
      "eval_samples_per_second": 64.516,
      "eval_steps_per_second": 8.223,
      "step": 76
    },
    {
      "epoch": 6.980392156862745,
      "eval_accuracy": 0.9901960784313726,
      "eval_f1": 0.9901960784313726,
      "eval_loss": 0.03071291744709015,
      "eval_precision": 0.9901960784313726,
      "eval_recall": 0.9901960784313726,
      "eval_runtime": 3.1655,
      "eval_samples_per_second": 64.445,
      "eval_steps_per_second": 8.214,
      "step": 89
    },
    {
      "epoch": 7.529411764705882,
      "eval_accuracy": 0.9901960784313726,
      "eval_f1": 0.9901960784313726,
      "eval_loss": 0.030666500329971313,
      "eval_precision": 0.9901960784313726,
      "eval_recall": 0.9901960784313726,
      "eval_runtime": 3.1789,
      "eval_samples_per_second": 64.172,
      "eval_steps_per_second": 8.179,
      "step": 96
    }
  ],
  "logging_steps": 500,
  "max_steps": 96,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 9.902803258768166e+16,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}