File size: 5,264 Bytes
a2cfd19
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
{
  "best_metric": 0.8146666666666667,
  "best_model_checkpoint": "Bert_tinybert-distilled/run-4/checkpoint-1204",
  "epoch": 8.0,
  "eval_steps": 500,
  "global_step": 1376,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.065812110900879,
      "learning_rate": 8.050072712118835e-05,
      "loss": 0.5092,
      "step": 172
    },
    {
      "epoch": 1.0,
      "eval_AUC": 0.8145119999999999,
      "eval_BAC": 0.73,
      "eval_MCC": 0.4608302423279951,
      "eval_PR_AUC": 0.7678112276484446,
      "eval_accuracy": 0.73,
      "eval_loss": 0.4519721269607544,
      "eval_runtime": 6.3105,
      "eval_samples_per_second": 237.697,
      "eval_steps_per_second": 7.448,
      "step": 172
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.7611809968948364,
      "learning_rate": 6.900062324673287e-05,
      "loss": 0.4743,
      "step": 344
    },
    {
      "epoch": 2.0,
      "eval_AUC": 0.8335324444444443,
      "eval_BAC": 0.7613333333333334,
      "eval_MCC": 0.553275105402295,
      "eval_PR_AUC": 0.7822581410349926,
      "eval_accuracy": 0.7613333333333333,
      "eval_loss": 0.4407980144023895,
      "eval_runtime": 6.2949,
      "eval_samples_per_second": 238.289,
      "eval_steps_per_second": 7.466,
      "step": 344
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.037668466567993,
      "learning_rate": 5.750051937227739e-05,
      "loss": 0.4621,
      "step": 516
    },
    {
      "epoch": 3.0,
      "eval_AUC": 0.8552204444444444,
      "eval_BAC": 0.7933333333333333,
      "eval_MCC": 0.5994394641665934,
      "eval_PR_AUC": 0.8137656581601591,
      "eval_accuracy": 0.7933333333333333,
      "eval_loss": 0.4244216978549957,
      "eval_runtime": 6.1875,
      "eval_samples_per_second": 242.424,
      "eval_steps_per_second": 7.596,
      "step": 516
    },
    {
      "epoch": 4.0,
      "grad_norm": 2.76123309135437,
      "learning_rate": 4.600041549782191e-05,
      "loss": 0.4529,
      "step": 688
    },
    {
      "epoch": 4.0,
      "eval_AUC": 0.8632462222222221,
      "eval_BAC": 0.7953333333333333,
      "eval_MCC": 0.596541705530537,
      "eval_PR_AUC": 0.8260242182570992,
      "eval_accuracy": 0.7953333333333333,
      "eval_loss": 0.4147915542125702,
      "eval_runtime": 6.222,
      "eval_samples_per_second": 241.079,
      "eval_steps_per_second": 7.554,
      "step": 688
    },
    {
      "epoch": 5.0,
      "grad_norm": 2.963057041168213,
      "learning_rate": 3.450031162336643e-05,
      "loss": 0.4457,
      "step": 860
    },
    {
      "epoch": 5.0,
      "eval_AUC": 0.8692337777777777,
      "eval_BAC": 0.81,
      "eval_MCC": 0.6276847092784394,
      "eval_PR_AUC": 0.8299132636472669,
      "eval_accuracy": 0.81,
      "eval_loss": 0.40833592414855957,
      "eval_runtime": 6.2503,
      "eval_samples_per_second": 239.989,
      "eval_steps_per_second": 7.52,
      "step": 860
    },
    {
      "epoch": 6.0,
      "grad_norm": 3.1222100257873535,
      "learning_rate": 2.3000207748910956e-05,
      "loss": 0.4422,
      "step": 1032
    },
    {
      "epoch": 6.0,
      "eval_AUC": 0.8663128888888889,
      "eval_BAC": 0.81,
      "eval_MCC": 0.633318117479026,
      "eval_PR_AUC": 0.8122133069255465,
      "eval_accuracy": 0.81,
      "eval_loss": 0.4122408926486969,
      "eval_runtime": 6.2825,
      "eval_samples_per_second": 238.758,
      "eval_steps_per_second": 7.481,
      "step": 1032
    },
    {
      "epoch": 7.0,
      "grad_norm": 2.754328966140747,
      "learning_rate": 1.1500103874455478e-05,
      "loss": 0.4406,
      "step": 1204
    },
    {
      "epoch": 7.0,
      "eval_AUC": 0.8696568888888889,
      "eval_BAC": 0.8146666666666667,
      "eval_MCC": 0.6396251179192641,
      "eval_PR_AUC": 0.8147222095880156,
      "eval_accuracy": 0.8146666666666667,
      "eval_loss": 0.4100054204463959,
      "eval_runtime": 6.247,
      "eval_samples_per_second": 240.113,
      "eval_steps_per_second": 7.524,
      "step": 1204
    },
    {
      "epoch": 8.0,
      "grad_norm": 1.56061589717865,
      "learning_rate": 0.0,
      "loss": 0.4369,
      "step": 1376
    },
    {
      "epoch": 8.0,
      "eval_AUC": 0.8715377777777777,
      "eval_BAC": 0.8146666666666667,
      "eval_MCC": 0.6375468401321781,
      "eval_PR_AUC": 0.8228418225735421,
      "eval_accuracy": 0.8146666666666667,
      "eval_loss": 0.4085315763950348,
      "eval_runtime": 6.2249,
      "eval_samples_per_second": 240.968,
      "eval_steps_per_second": 7.55,
      "step": 1376
    }
  ],
  "logging_steps": 500,
  "max_steps": 1376,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "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": 3603021840000.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.7709874476999774,
    "learning_rate": 9.200083099564382e-05,
    "num_train_epochs": 8,
    "temperature": 3
  }
}