File size: 5,048 Bytes
b23bbeb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.8578431372549019,
  "best_model_checkpoint": "./bert-base-uncased/fine_tuned_models/checkpoint-460",
  "epoch": 10.0,
  "global_step": 1150,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 1e-05,
      "loss": 0.6308,
      "step": 115
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7058823529411765,
      "eval_combined_score": 0.7639204049572351,
      "eval_f1": 0.8219584569732937,
      "eval_loss": 0.5484543442726135,
      "eval_runtime": 1.1176,
      "eval_samples_per_second": 365.063,
      "eval_steps_per_second": 45.633,
      "step": 115
    },
    {
      "epoch": 2.0,
      "learning_rate": 2e-05,
      "loss": 0.488,
      "step": 230
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7990196078431373,
      "eval_combined_score": 0.8344304388422037,
      "eval_f1": 0.86984126984127,
      "eval_loss": 0.44723159074783325,
      "eval_runtime": 1.121,
      "eval_samples_per_second": 363.966,
      "eval_steps_per_second": 45.496,
      "step": 230
    },
    {
      "epoch": 3.0,
      "learning_rate": 1.7500000000000002e-05,
      "loss": 0.3019,
      "step": 345
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8406862745098039,
      "eval_combined_score": 0.8653515974917887,
      "eval_f1": 0.8900169204737733,
      "eval_loss": 0.3739049434661865,
      "eval_runtime": 1.1236,
      "eval_samples_per_second": 363.103,
      "eval_steps_per_second": 45.388,
      "step": 345
    },
    {
      "epoch": 4.0,
      "learning_rate": 1.5000000000000002e-05,
      "loss": 0.1395,
      "step": 460
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8578431372549019,
      "eval_combined_score": 0.8790933899332929,
      "eval_f1": 0.9003436426116839,
      "eval_loss": 0.48073676228523254,
      "eval_runtime": 1.1302,
      "eval_samples_per_second": 360.994,
      "eval_steps_per_second": 45.124,
      "step": 460
    },
    {
      "epoch": 5.0,
      "learning_rate": 1.25e-05,
      "loss": 0.0603,
      "step": 575
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8357843137254902,
      "eval_combined_score": 0.8594279334770557,
      "eval_f1": 0.8830715532286212,
      "eval_loss": 0.6254621148109436,
      "eval_runtime": 1.1347,
      "eval_samples_per_second": 359.579,
      "eval_steps_per_second": 44.947,
      "step": 575
    },
    {
      "epoch": 6.0,
      "learning_rate": 1e-05,
      "loss": 0.0356,
      "step": 690
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8431372549019608,
      "eval_combined_score": 0.8676965735789266,
      "eval_f1": 0.8922558922558923,
      "eval_loss": 0.8049449324607849,
      "eval_runtime": 1.1199,
      "eval_samples_per_second": 364.325,
      "eval_steps_per_second": 45.541,
      "step": 690
    },
    {
      "epoch": 7.0,
      "learning_rate": 7.500000000000001e-06,
      "loss": 0.0267,
      "step": 805
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8455882352941176,
      "eval_combined_score": 0.8668438512172187,
      "eval_f1": 0.8880994671403197,
      "eval_loss": 0.7565263509750366,
      "eval_runtime": 1.1371,
      "eval_samples_per_second": 358.818,
      "eval_steps_per_second": 44.852,
      "step": 805
    },
    {
      "epoch": 8.0,
      "learning_rate": 5e-06,
      "loss": 0.0117,
      "step": 920
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8382352941176471,
      "eval_combined_score": 0.8622210953346856,
      "eval_f1": 0.8862068965517241,
      "eval_loss": 0.8377837538719177,
      "eval_runtime": 1.1383,
      "eval_samples_per_second": 358.436,
      "eval_steps_per_second": 44.805,
      "step": 920
    },
    {
      "epoch": 9.0,
      "learning_rate": 2.5e-06,
      "loss": 0.0086,
      "step": 1035
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8382352941176471,
      "eval_combined_score": 0.8614253393665159,
      "eval_f1": 0.8846153846153846,
      "eval_loss": 0.870381772518158,
      "eval_runtime": 1.1281,
      "eval_samples_per_second": 361.659,
      "eval_steps_per_second": 45.207,
      "step": 1035
    },
    {
      "epoch": 10.0,
      "learning_rate": 0.0,
      "loss": 0.0075,
      "step": 1150
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8406862745098039,
      "eval_combined_score": 0.8640173140313319,
      "eval_f1": 0.8873483535528597,
      "eval_loss": 0.8665909171104431,
      "eval_runtime": 1.1293,
      "eval_samples_per_second": 361.28,
      "eval_steps_per_second": 45.16,
      "step": 1150
    },
    {
      "epoch": 10.0,
      "step": 1150,
      "total_flos": 2412728377651200.0,
      "train_loss": 0.17106628703034443,
      "train_runtime": 327.4394,
      "train_samples_per_second": 112.021,
      "train_steps_per_second": 3.512
    }
  ],
  "max_steps": 1150,
  "num_train_epochs": 10,
  "total_flos": 2412728377651200.0,
  "trial_name": null,
  "trial_params": null
}