MattyB95 commited on
Commit
7310c63
1 Parent(s): 773b19b

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Test_accuracy": 0.8698148434100257,
3
+ "Test_f1": 0.9218267950166057,
4
+ "Test_loss": 1.2595231533050537,
5
+ "Test_precision": 0.9986849795441263,
6
+ "Test_recall": 0.8559531636454714,
7
+ "Test_runtime": 2402.0367,
8
+ "Test_samples_per_second": 29.657,
9
+ "Test_steps_per_second": 3.707,
10
+ "Validation_accuracy": 0.9970616647882788,
11
+ "Validation_f1": 0.9983654642753185,
12
+ "Validation_loss": 0.021297017112374306,
13
+ "Validation_precision": 0.9968253968253968,
14
+ "Validation_recall": 0.9999102978112666,
15
+ "Validation_runtime": 804.5483,
16
+ "Validation_samples_per_second": 30.879,
17
+ "Validation_steps_per_second": 3.861,
18
+ "epoch": 3.0,
19
+ "train_loss": 0.019444029977140835,
20
+ "train_runtime": 8406.9324,
21
+ "train_samples_per_second": 9.057,
22
+ "train_steps_per_second": 1.132
23
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Validation_accuracy": 0.9970616647882788,
3
+ "Validation_f1": 0.9983654642753185,
4
+ "Validation_loss": 0.021297017112374306,
5
+ "Validation_precision": 0.9968253968253968,
6
+ "Validation_recall": 0.9999102978112666,
7
+ "Validation_runtime": 804.5483,
8
+ "Validation_samples_per_second": 30.879,
9
+ "Validation_steps_per_second": 3.861,
10
+ "epoch": 3.0
11
+ }
runs/Feb15_07-19-46_ampere02/events.out.tfevents.1707990820.ampere02.3729224.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7390bb28da5de659347a10f70532d5669d1fada39f5e70c9b89626da2b37a62e
3
+ size 1176
test_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Test_accuracy": 0.8698148434100257,
3
+ "Test_f1": 0.9218267950166057,
4
+ "Test_loss": 1.2595231533050537,
5
+ "Test_precision": 0.9986849795441263,
6
+ "Test_recall": 0.8559531636454714,
7
+ "Test_runtime": 2402.0367,
8
+ "Test_samples_per_second": 29.657,
9
+ "Test_steps_per_second": 3.707,
10
+ "epoch": 3.0
11
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.019444029977140835,
4
+ "train_runtime": 8406.9324,
5
+ "train_samples_per_second": 9.057,
6
+ "train_steps_per_second": 1.132
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,180 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.021297017112374306,
3
+ "best_model_checkpoint": "../res/Transformers/AST-ASVspoof2019-Synthetic-Voice-Detection-New/checkpoint-9519",
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 9519,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.16,
13
+ "learning_rate": 4.7373673705221136e-05,
14
+ "loss": 0.1461,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.32,
19
+ "learning_rate": 4.4747347410442276e-05,
20
+ "loss": 0.0486,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.47,
25
+ "learning_rate": 4.212102111566341e-05,
26
+ "loss": 0.0429,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 0.63,
31
+ "learning_rate": 3.949469482088455e-05,
32
+ "loss": 0.0157,
33
+ "step": 2000
34
+ },
35
+ {
36
+ "epoch": 0.79,
37
+ "learning_rate": 3.686836852610568e-05,
38
+ "loss": 0.0222,
39
+ "step": 2500
40
+ },
41
+ {
42
+ "epoch": 0.95,
43
+ "learning_rate": 3.424204223132682e-05,
44
+ "loss": 0.0232,
45
+ "step": 3000
46
+ },
47
+ {
48
+ "epoch": 1.0,
49
+ "eval_accuracy": 0.993237803896313,
50
+ "eval_f1": 0.9962432915921288,
51
+ "eval_loss": 0.04044355824589729,
52
+ "eval_precision": 0.9933999286478773,
53
+ "eval_recall": 0.9991029781126659,
54
+ "eval_runtime": 830.2286,
55
+ "eval_samples_per_second": 29.924,
56
+ "eval_steps_per_second": 3.741,
57
+ "step": 3173
58
+ },
59
+ {
60
+ "epoch": 1.1,
61
+ "learning_rate": 3.1615715936547956e-05,
62
+ "loss": 0.0132,
63
+ "step": 3500
64
+ },
65
+ {
66
+ "epoch": 1.26,
67
+ "learning_rate": 2.8989389641769092e-05,
68
+ "loss": 0.0127,
69
+ "step": 4000
70
+ },
71
+ {
72
+ "epoch": 1.42,
73
+ "learning_rate": 2.636306334699023e-05,
74
+ "loss": 0.0164,
75
+ "step": 4500
76
+ },
77
+ {
78
+ "epoch": 1.58,
79
+ "learning_rate": 2.373673705221137e-05,
80
+ "loss": 0.0021,
81
+ "step": 5000
82
+ },
83
+ {
84
+ "epoch": 1.73,
85
+ "learning_rate": 2.1110410757432505e-05,
86
+ "loss": 0.0127,
87
+ "step": 5500
88
+ },
89
+ {
90
+ "epoch": 1.89,
91
+ "learning_rate": 1.8484084462653642e-05,
92
+ "loss": 0.0058,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 2.0,
97
+ "eval_accuracy": 0.9930767992271776,
98
+ "eval_f1": 0.9961562527934209,
99
+ "eval_loss": 0.03828761354088783,
100
+ "eval_precision": 0.9926955282380189,
101
+ "eval_recall": 0.9996411912450663,
102
+ "eval_runtime": 804.5736,
103
+ "eval_samples_per_second": 30.878,
104
+ "eval_steps_per_second": 3.86,
105
+ "step": 6346
106
+ },
107
+ {
108
+ "epoch": 2.05,
109
+ "learning_rate": 1.585775816787478e-05,
110
+ "loss": 0.0044,
111
+ "step": 6500
112
+ },
113
+ {
114
+ "epoch": 2.21,
115
+ "learning_rate": 1.3231431873095915e-05,
116
+ "loss": 0.0,
117
+ "step": 7000
118
+ },
119
+ {
120
+ "epoch": 2.36,
121
+ "learning_rate": 1.060510557831705e-05,
122
+ "loss": 0.0022,
123
+ "step": 7500
124
+ },
125
+ {
126
+ "epoch": 2.52,
127
+ "learning_rate": 7.978779283538187e-06,
128
+ "loss": 0.0001,
129
+ "step": 8000
130
+ },
131
+ {
132
+ "epoch": 2.68,
133
+ "learning_rate": 5.352452988759324e-06,
134
+ "loss": 0.0,
135
+ "step": 8500
136
+ },
137
+ {
138
+ "epoch": 2.84,
139
+ "learning_rate": 2.7261266939804603e-06,
140
+ "loss": 0.0002,
141
+ "step": 9000
142
+ },
143
+ {
144
+ "epoch": 2.99,
145
+ "learning_rate": 9.98003992015968e-08,
146
+ "loss": 0.0014,
147
+ "step": 9500
148
+ },
149
+ {
150
+ "epoch": 3.0,
151
+ "eval_accuracy": 0.9970616647882788,
152
+ "eval_f1": 0.9983654642753185,
153
+ "eval_loss": 0.021297017112374306,
154
+ "eval_precision": 0.9968253968253968,
155
+ "eval_recall": 0.9999102978112666,
156
+ "eval_runtime": 803.2524,
157
+ "eval_samples_per_second": 30.929,
158
+ "eval_steps_per_second": 3.867,
159
+ "step": 9519
160
+ },
161
+ {
162
+ "epoch": 3.0,
163
+ "step": 9519,
164
+ "total_flos": 5.160985429530378e+18,
165
+ "train_loss": 0.019444029977140835,
166
+ "train_runtime": 8406.9324,
167
+ "train_samples_per_second": 9.057,
168
+ "train_steps_per_second": 1.132
169
+ }
170
+ ],
171
+ "logging_steps": 500,
172
+ "max_steps": 9519,
173
+ "num_input_tokens_seen": 0,
174
+ "num_train_epochs": 3,
175
+ "save_steps": 500,
176
+ "total_flos": 5.160985429530378e+18,
177
+ "train_batch_size": 8,
178
+ "trial_name": null,
179
+ "trial_params": null
180
+ }