File size: 7,596 Bytes
7dbbb4f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
{
  "best_metric": 0.7736489492761546,
  "best_model_checkpoint": "bart-base/checkpoint-4501",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 4501,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.78,
      "learning_rate": 4.871176775531364e-05,
      "loss": 1.2028,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7598760650658405,
      "eval_f1_macro": 0.6063644681337579,
      "eval_f1_micro": 0.7598760650658405,
      "eval_f1_weighted": 0.7489266744747745,
      "eval_loss": 0.8429557681083679,
      "eval_macro_fpr": 0.023226157303183535,
      "eval_macro_sensitivity": 0.6366904609623596,
      "eval_macro_specificity": 0.981694425945952,
      "eval_precision": 0.7600880594489849,
      "eval_precision_macro": 0.6003620126022547,
      "eval_recall": 0.7598760650658405,
      "eval_recall_macro": 0.6366904609623596,
      "eval_runtime": 43.5934,
      "eval_samples_per_second": 29.615,
      "eval_steps_per_second": 3.716,
      "eval_weighted_fpr": 0.02207348333808032,
      "eval_weighted_sensitivity": 0.7598760650658405,
      "eval_weighted_specificity": 0.9655403241234398,
      "step": 643
    },
    {
      "epoch": 1.56,
      "learning_rate": 4.741575946086055e-05,
      "loss": 0.715,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7931835786212239,
      "eval_f1_macro": 0.7213629796675549,
      "eval_f1_micro": 0.793183578621224,
      "eval_f1_weighted": 0.7853477061503886,
      "eval_loss": 0.7331996560096741,
      "eval_macro_fpr": 0.018982515099395962,
      "eval_macro_sensitivity": 0.7320748785168393,
      "eval_macro_specificity": 0.9845140063777027,
      "eval_precision": 0.8019650926098448,
      "eval_precision_macro": 0.7386000214414028,
      "eval_recall": 0.7931835786212239,
      "eval_recall_macro": 0.7320748785168393,
      "eval_runtime": 77.2393,
      "eval_samples_per_second": 16.714,
      "eval_steps_per_second": 2.097,
      "eval_weighted_fpr": 0.018283914264192288,
      "eval_weighted_sensitivity": 0.7931835786212239,
      "eval_weighted_specificity": 0.9745265170443169,
      "step": 1286
    },
    {
      "epoch": 2.33,
      "learning_rate": 4.611975116640747e-05,
      "loss": 0.578,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7939581719597212,
      "eval_f1_macro": 0.6998313050068915,
      "eval_f1_micro": 0.7939581719597211,
      "eval_f1_weighted": 0.79006368267302,
      "eval_loss": 0.8045273423194885,
      "eval_macro_fpr": 0.018545878882531782,
      "eval_macro_sensitivity": 0.7068834234702027,
      "eval_macro_specificity": 0.9847671550097226,
      "eval_precision": 0.8075005963568469,
      "eval_precision_macro": 0.7230632440844518,
      "eval_recall": 0.7939581719597212,
      "eval_recall_macro": 0.7068834234702027,
      "eval_runtime": 86.4099,
      "eval_samples_per_second": 14.94,
      "eval_steps_per_second": 1.875,
      "eval_weighted_fpr": 0.018199233716475097,
      "eval_weighted_sensitivity": 0.7939581719597212,
      "eval_weighted_specificity": 0.977549153186118,
      "step": 1929
    },
    {
      "epoch": 3.11,
      "learning_rate": 4.482633488854329e-05,
      "loss": 0.481,
      "step": 2000
    },
    {
      "epoch": 3.89,
      "learning_rate": 4.3530326594090203e-05,
      "loss": 0.3938,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8156467854376452,
      "eval_f1_macro": 0.7369315728111729,
      "eval_f1_micro": 0.8156467854376452,
      "eval_f1_weighted": 0.8105168035589256,
      "eval_loss": 0.8291025161743164,
      "eval_macro_fpr": 0.016938074954137138,
      "eval_macro_sensitivity": 0.7217605983180461,
      "eval_macro_specificity": 0.9857842035419169,
      "eval_precision": 0.8171220006778526,
      "eval_precision_macro": 0.7937034642937142,
      "eval_recall": 0.8156467854376452,
      "eval_recall_macro": 0.7217605983180461,
      "eval_runtime": 84.4366,
      "eval_samples_per_second": 15.29,
      "eval_steps_per_second": 1.919,
      "eval_weighted_fpr": 0.01588785046728972,
      "eval_weighted_sensitivity": 0.8156467854376452,
      "eval_weighted_specificity": 0.9711162676911109,
      "step": 2572
    },
    {
      "epoch": 4.67,
      "learning_rate": 4.2236910316226025e-05,
      "loss": 0.3238,
      "step": 3000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7939581719597212,
      "eval_f1_macro": 0.7360579650857649,
      "eval_f1_micro": 0.7939581719597211,
      "eval_f1_weighted": 0.7995200606905476,
      "eval_loss": 0.8888681530952454,
      "eval_macro_fpr": 0.018767728188278533,
      "eval_macro_sensitivity": 0.7515467286591376,
      "eval_macro_specificity": 0.9846803211687324,
      "eval_precision": 0.8146370555192632,
      "eval_precision_macro": 0.7464262358644205,
      "eval_recall": 0.7939581719597212,
      "eval_recall_macro": 0.7515467286591376,
      "eval_runtime": 82.179,
      "eval_samples_per_second": 15.71,
      "eval_steps_per_second": 1.971,
      "eval_weighted_fpr": 0.018199233716475097,
      "eval_weighted_sensitivity": 0.7939581719597212,
      "eval_weighted_specificity": 0.9762466455712672,
      "step": 3215
    },
    {
      "epoch": 5.44,
      "learning_rate": 4.094090202177294e-05,
      "loss": 0.246,
      "step": 3500
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7955073586367157,
      "eval_f1_macro": 0.7362210043644567,
      "eval_f1_micro": 0.7955073586367158,
      "eval_f1_weighted": 0.7945977979999089,
      "eval_loss": 1.1628626585006714,
      "eval_macro_fpr": 0.01863187379355594,
      "eval_macro_sensitivity": 0.7599986341032186,
      "eval_macro_specificity": 0.9846932142915057,
      "eval_precision": 0.8066758597712774,
      "eval_precision_macro": 0.7483163388808308,
      "eval_recall": 0.7955073586367157,
      "eval_recall_macro": 0.7599986341032186,
      "eval_runtime": 82.1621,
      "eval_samples_per_second": 15.713,
      "eval_steps_per_second": 1.972,
      "eval_weighted_fpr": 0.018030323726266905,
      "eval_weighted_sensitivity": 0.7955073586367157,
      "eval_weighted_specificity": 0.9748908557358684,
      "step": 3858
    },
    {
      "epoch": 6.22,
      "learning_rate": 3.964489372731986e-05,
      "loss": 0.228,
      "step": 4000
    },
    {
      "epoch": 7.0,
      "learning_rate": 3.834888543286677e-05,
      "loss": 0.1791,
      "step": 4500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8179705654531371,
      "eval_f1_macro": 0.7736489492761546,
      "eval_f1_micro": 0.817970565453137,
      "eval_f1_weighted": 0.8146592022169725,
      "eval_loss": 1.1354283094406128,
      "eval_macro_fpr": 0.016454731140779742,
      "eval_macro_sensitivity": 0.7696557438486226,
      "eval_macro_specificity": 0.9861772746118799,
      "eval_precision": 0.8150792023791334,
      "eval_precision_macro": 0.7832166669456337,
      "eval_recall": 0.8179705654531371,
      "eval_recall_macro": 0.7696557438486226,
      "eval_runtime": 85.4548,
      "eval_samples_per_second": 15.107,
      "eval_steps_per_second": 1.896,
      "eval_weighted_fpr": 0.01564684732671949,
      "eval_weighted_sensitivity": 0.8179705654531371,
      "eval_weighted_specificity": 0.9746885537250626,
      "step": 4501
    }
  ],
  "logging_steps": 500,
  "max_steps": 19290,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 1.1031418266753024e+16,
  "trial_name": null,
  "trial_params": null
}