Jeremiah Zhou commited on
Commit
2c21b0c
1 Parent(s): e888bd3

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_loss": 1.0570732355117798,
4
+ "eval_matthews_correlation": 0.6232164195970928,
5
+ "eval_runtime": 1.8258,
6
+ "eval_samples": 1043,
7
+ "eval_samples_per_second": 571.268,
8
+ "eval_steps_per_second": 71.751,
9
+ "train_loss": 0.191466952528909,
10
+ "train_runtime": 617.5978,
11
+ "train_samples": 8551,
12
+ "train_samples_per_second": 138.456,
13
+ "train_steps_per_second": 8.663
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_loss": 1.0570732355117798,
4
+ "eval_matthews_correlation": 0.6232164195970928,
5
+ "eval_runtime": 1.8258,
6
+ "eval_samples": 1043,
7
+ "eval_samples_per_second": 571.268,
8
+ "eval_steps_per_second": 71.751
9
+ }
runs/Jun14_16-32-15_pikachu/events.out.tfevents.1655196707.pikachu.4130545.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a59deae3190b555c656ef3f3a03e1452d4243f62c67b29b7da0336ca9ea7851d
3
+ size 375
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "train_loss": 0.191466952528909,
4
+ "train_runtime": 617.5978,
5
+ "train_samples": 8551,
6
+ "train_samples_per_second": 138.456,
7
+ "train_steps_per_second": 8.663
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6232164195970928,
3
+ "best_model_checkpoint": "./fine-tune/roberta-base/cola/checkpoint-5350",
4
+ "epoch": 10.0,
5
+ "global_step": 5350,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.93,
12
+ "learning_rate": 1.9288128852654602e-05,
13
+ "loss": 0.5497,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_loss": 0.5504242181777954,
19
+ "eval_matthews_correlation": 0.4613462408273676,
20
+ "eval_runtime": 1.7936,
21
+ "eval_samples_per_second": 581.514,
22
+ "eval_steps_per_second": 73.038,
23
+ "step": 535
24
+ },
25
+ {
26
+ "epoch": 1.87,
27
+ "learning_rate": 1.729966196062836e-05,
28
+ "loss": 0.3786,
29
+ "step": 1000
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_loss": 0.48504745960235596,
34
+ "eval_matthews_correlation": 0.5470285194988502,
35
+ "eval_runtime": 1.8903,
36
+ "eval_samples_per_second": 551.77,
37
+ "eval_steps_per_second": 69.302,
38
+ "step": 1070
39
+ },
40
+ {
41
+ "epoch": 2.8,
42
+ "learning_rate": 1.531119506860211e-05,
43
+ "loss": 0.2733,
44
+ "step": 1500
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_loss": 0.5036450624465942,
49
+ "eval_matthews_correlation": 0.5791579814417055,
50
+ "eval_runtime": 2.2071,
51
+ "eval_samples_per_second": 472.565,
52
+ "eval_steps_per_second": 59.354,
53
+ "step": 1605
54
+ },
55
+ {
56
+ "epoch": 3.74,
57
+ "learning_rate": 1.3322728176575861e-05,
58
+ "loss": 0.2204,
59
+ "step": 2000
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_loss": 0.5532266497612,
64
+ "eval_matthews_correlation": 0.6138670730002377,
65
+ "eval_runtime": 1.8422,
66
+ "eval_samples_per_second": 566.18,
67
+ "eval_steps_per_second": 71.112,
68
+ "step": 2140
69
+ },
70
+ {
71
+ "epoch": 4.67,
72
+ "learning_rate": 1.1334261284549613e-05,
73
+ "loss": 0.164,
74
+ "step": 2500
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_loss": 0.9516334533691406,
79
+ "eval_matthews_correlation": 0.5934048733741295,
80
+ "eval_runtime": 1.8822,
81
+ "eval_samples_per_second": 554.136,
82
+ "eval_steps_per_second": 69.599,
83
+ "step": 2675
84
+ },
85
+ {
86
+ "epoch": 5.61,
87
+ "learning_rate": 9.345794392523365e-06,
88
+ "loss": 0.1351,
89
+ "step": 3000
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "eval_loss": 0.9050658345222473,
94
+ "eval_matthews_correlation": 0.5754342635449895,
95
+ "eval_runtime": 1.846,
96
+ "eval_samples_per_second": 565.019,
97
+ "eval_steps_per_second": 70.966,
98
+ "step": 3210
99
+ },
100
+ {
101
+ "epoch": 6.54,
102
+ "learning_rate": 7.357327500497118e-06,
103
+ "loss": 0.1065,
104
+ "step": 3500
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_loss": 0.9006233215332031,
109
+ "eval_matthews_correlation": 0.6161067903576496,
110
+ "eval_runtime": 1.877,
111
+ "eval_samples_per_second": 555.681,
112
+ "eval_steps_per_second": 69.793,
113
+ "step": 3745
114
+ },
115
+ {
116
+ "epoch": 7.48,
117
+ "learning_rate": 5.36886060847087e-06,
118
+ "loss": 0.0874,
119
+ "step": 4000
120
+ },
121
+ {
122
+ "epoch": 8.0,
123
+ "eval_loss": 0.9457036852836609,
124
+ "eval_matthews_correlation": 0.6157170770507245,
125
+ "eval_runtime": 1.8772,
126
+ "eval_samples_per_second": 555.609,
127
+ "eval_steps_per_second": 69.784,
128
+ "step": 4280
129
+ },
130
+ {
131
+ "epoch": 8.41,
132
+ "learning_rate": 3.3803937164446215e-06,
133
+ "loss": 0.0579,
134
+ "step": 4500
135
+ },
136
+ {
137
+ "epoch": 9.0,
138
+ "eval_loss": 1.0371503829956055,
139
+ "eval_matthews_correlation": 0.6006530974238766,
140
+ "eval_runtime": 1.8847,
141
+ "eval_samples_per_second": 553.403,
142
+ "eval_steps_per_second": 69.507,
143
+ "step": 4815
144
+ },
145
+ {
146
+ "epoch": 9.35,
147
+ "learning_rate": 1.3919268244183738e-06,
148
+ "loss": 0.0451,
149
+ "step": 5000
150
+ },
151
+ {
152
+ "epoch": 10.0,
153
+ "eval_loss": 1.0570732355117798,
154
+ "eval_matthews_correlation": 0.6232164195970928,
155
+ "eval_runtime": 1.8418,
156
+ "eval_samples_per_second": 566.299,
157
+ "eval_steps_per_second": 71.127,
158
+ "step": 5350
159
+ },
160
+ {
161
+ "epoch": 10.0,
162
+ "step": 5350,
163
+ "total_flos": 5624656585958400.0,
164
+ "train_loss": 0.191466952528909,
165
+ "train_runtime": 617.5978,
166
+ "train_samples_per_second": 138.456,
167
+ "train_steps_per_second": 8.663
168
+ }
169
+ ],
170
+ "max_steps": 5350,
171
+ "num_train_epochs": 10,
172
+ "total_flos": 5624656585958400.0,
173
+ "trial_name": null,
174
+ "trial_params": null
175
+ }