File size: 5,080 Bytes
9fd932d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.8621136553160071,
  "best_model_checkpoint": "./nlu_finetuned_models/mrpc/roberta-base_lr1e-05/checkpoint-1656",
  "epoch": 10.0,
  "eval_steps": 500,
  "global_step": 2070,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.776566757493188,
      "eval_averaged_scores": 0.8158452162024243,
      "eval_f1": 0.8551236749116607,
      "eval_loss": 0.5290148258209229,
      "eval_runtime": 0.2856,
      "eval_samples_per_second": 1284.946,
      "eval_steps_per_second": 80.528,
      "step": 207
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8174386920980926,
      "eval_averaged_scores": 0.8451519836202038,
      "eval_f1": 0.872865275142315,
      "eval_loss": 0.4343216121196747,
      "eval_runtime": 0.268,
      "eval_samples_per_second": 1369.624,
      "eval_steps_per_second": 85.835,
      "step": 414
    },
    {
      "epoch": 2.4154589371980677,
      "grad_norm": 36.1466064453125,
      "learning_rate": 8.071979434447301e-06,
      "loss": 0.46,
      "step": 500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8092643051771117,
      "eval_averaged_scores": 0.8354621921142475,
      "eval_f1": 0.8616600790513834,
      "eval_loss": 0.5129518508911133,
      "eval_runtime": 0.2665,
      "eval_samples_per_second": 1377.201,
      "eval_steps_per_second": 86.31,
      "step": 621
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8228882833787466,
      "eval_averaged_scores": 0.8515914713394654,
      "eval_f1": 0.8802946593001841,
      "eval_loss": 0.5693352222442627,
      "eval_runtime": 0.2664,
      "eval_samples_per_second": 1377.754,
      "eval_steps_per_second": 86.344,
      "step": 828
    },
    {
      "epoch": 4.830917874396135,
      "grad_norm": 21.271873474121094,
      "learning_rate": 5.501285347043702e-06,
      "loss": 0.2384,
      "step": 1000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8147138964577657,
      "eval_averaged_scores": 0.8401632723395548,
      "eval_f1": 0.8656126482213439,
      "eval_loss": 0.7265740036964417,
      "eval_runtime": 0.2635,
      "eval_samples_per_second": 1392.882,
      "eval_steps_per_second": 87.292,
      "step": 1035
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8228882833787466,
      "eval_averaged_scores": 0.8478433589105083,
      "eval_f1": 0.87279843444227,
      "eval_loss": 0.7967910170555115,
      "eval_runtime": 0.2652,
      "eval_samples_per_second": 1383.735,
      "eval_steps_per_second": 86.719,
      "step": 1242
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8337874659400545,
      "eval_averaged_scores": 0.8585763333524364,
      "eval_f1": 0.8833652007648184,
      "eval_loss": 0.9130034446716309,
      "eval_runtime": 0.2653,
      "eval_samples_per_second": 1383.206,
      "eval_steps_per_second": 86.686,
      "step": 1449
    },
    {
      "epoch": 7.246376811594203,
      "grad_norm": 0.06251997500658035,
      "learning_rate": 2.9305912596401033e-06,
      "loss": 0.1284,
      "step": 1500
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8392370572207084,
      "eval_averaged_scores": 0.8621136553160071,
      "eval_f1": 0.884990253411306,
      "eval_loss": 0.9644819498062134,
      "eval_runtime": 0.2648,
      "eval_samples_per_second": 1385.901,
      "eval_steps_per_second": 86.855,
      "step": 1656
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8310626702997275,
      "eval_averaged_scores": 0.8540233986419272,
      "eval_f1": 0.876984126984127,
      "eval_loss": 1.034262776374817,
      "eval_runtime": 0.2652,
      "eval_samples_per_second": 1383.894,
      "eval_steps_per_second": 86.729,
      "step": 1863
    },
    {
      "epoch": 9.66183574879227,
      "grad_norm": 0.12907934188842773,
      "learning_rate": 3.598971722365039e-07,
      "loss": 0.068,
      "step": 2000
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8310626702997275,
      "eval_averaged_scores": 0.8552200511031711,
      "eval_f1": 0.8793774319066148,
      "eval_loss": 1.0211622714996338,
      "eval_runtime": 0.2393,
      "eval_samples_per_second": 1533.435,
      "eval_steps_per_second": 96.101,
      "step": 2070
    },
    {
      "epoch": 10.0,
      "step": 2070,
      "total_flos": 1294854808964040.0,
      "train_loss": 0.21819818883702374,
      "train_runtime": 145.0146,
      "train_samples_per_second": 227.632,
      "train_steps_per_second": 14.274
    }
  ],
  "logging_steps": 500,
  "max_steps": 2070,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "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": 1294854808964040.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}