File size: 4,586 Bytes
74ee53a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
{
  "best_metric": 0.7006444053895724,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-7/checkpoint-642",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 1498,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 5.4419636726379395,
      "learning_rate": 4.778212463646413e-05,
      "loss": 0.4867,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6649091974223784,
      "eval_f1": 0.01718213058419244,
      "eval_loss": 0.4545574486255646,
      "eval_mcc": 0.009529862152017439,
      "eval_precision": 0.38461538461538464,
      "eval_recall": 0.008787346221441126,
      "eval_runtime": 3.147,
      "eval_samples_per_second": 542.424,
      "eval_steps_per_second": 17.159,
      "step": 214
    },
    {
      "epoch": 2.0,
      "grad_norm": 2.8326942920684814,
      "learning_rate": 3.9818437197053446e-05,
      "loss": 0.4528,
      "step": 428
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6959578207381371,
      "eval_f1": 0.40955631399317405,
      "eval_loss": 0.44587329030036926,
      "eval_mcc": 0.24713473389349372,
      "eval_precision": 0.5806451612903226,
      "eval_recall": 0.3163444639718805,
      "eval_runtime": 3.2126,
      "eval_samples_per_second": 531.351,
      "eval_steps_per_second": 16.809,
      "step": 428
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.2975902557373047,
      "learning_rate": 3.1854749757642754e-05,
      "loss": 0.4424,
      "step": 642
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7006444053895724,
      "eval_f1": 0.396694214876033,
      "eval_loss": 0.4441916346549988,
      "eval_mcc": 0.25354492903122977,
      "eval_precision": 0.60431654676259,
      "eval_recall": 0.29525483304042177,
      "eval_runtime": 3.1517,
      "eval_samples_per_second": 541.618,
      "eval_steps_per_second": 17.134,
      "step": 642
    },
    {
      "epoch": 4.0,
      "grad_norm": 3.1896305084228516,
      "learning_rate": 2.3891062318232066e-05,
      "loss": 0.4399,
      "step": 856
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.700058582308143,
      "eval_f1": 0.42471910112359557,
      "eval_loss": 0.4420276880264282,
      "eval_mcc": 0.2607870237342907,
      "eval_precision": 0.5887850467289719,
      "eval_recall": 0.3321616871704745,
      "eval_runtime": 3.2393,
      "eval_samples_per_second": 526.972,
      "eval_steps_per_second": 16.67,
      "step": 856
    },
    {
      "epoch": 5.0,
      "grad_norm": 3.5341804027557373,
      "learning_rate": 1.5927374878821377e-05,
      "loss": 0.437,
      "step": 1070
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.6988869361452841,
      "eval_f1": 0.38663484486873506,
      "eval_loss": 0.4399532675743103,
      "eval_mcc": 0.24671136320593817,
      "eval_precision": 0.6022304832713755,
      "eval_recall": 0.28471001757469244,
      "eval_runtime": 3.152,
      "eval_samples_per_second": 541.569,
      "eval_steps_per_second": 17.132,
      "step": 1070
    },
    {
      "epoch": 6.0,
      "grad_norm": 2.5217621326446533,
      "learning_rate": 7.963687439410689e-06,
      "loss": 0.4353,
      "step": 1284
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.700058582308143,
      "eval_f1": 0.3875598086124402,
      "eval_loss": 0.4395112693309784,
      "eval_mcc": 0.24974237662368784,
      "eval_precision": 0.6067415730337079,
      "eval_recall": 0.28471001757469244,
      "eval_runtime": 3.3343,
      "eval_samples_per_second": 511.957,
      "eval_steps_per_second": 16.195,
      "step": 1284
    },
    {
      "epoch": 7.0,
      "grad_norm": 2.783250570297241,
      "learning_rate": 0.0,
      "loss": 0.4339,
      "step": 1498
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.6988869361452841,
      "eval_f1": 0.3938679245283018,
      "eval_loss": 0.43912431597709656,
      "eval_mcc": 0.2486977013771559,
      "eval_precision": 0.5985663082437276,
      "eval_recall": 0.29349736379613356,
      "eval_runtime": 3.1437,
      "eval_samples_per_second": 542.982,
      "eval_steps_per_second": 17.177,
      "step": 1498
    }
  ],
  "logging_steps": 500,
  "max_steps": 1498,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 7,
  "save_steps": 500,
  "total_flos": 3673429651080.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.7570540466770024,
    "learning_rate": 5.574581207587482e-05,
    "num_train_epochs": 7,
    "temperature": 25
  }
}