gary109 commited on
Commit
82b5115
1 Parent(s): 33b35c9

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.99,
3
+ "eval_loss": 0.4629605710506439,
4
+ "eval_runtime": 61.6536,
5
+ "eval_samples": 562,
6
+ "eval_samples_per_second": 9.115,
7
+ "eval_steps_per_second": 2.287,
8
+ "eval_wer": 0.21453478482735158,
9
+ "train_loss": 1.0114854598390883,
10
+ "train_runtime": 11573.519,
11
+ "train_samples": 1115,
12
+ "train_samples_per_second": 4.817,
13
+ "train_steps_per_second": 0.298
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.99,
3
+ "eval_loss": 0.4629605710506439,
4
+ "eval_runtime": 61.6536,
5
+ "eval_samples": 562,
6
+ "eval_samples_per_second": 9.115,
7
+ "eval_steps_per_second": 2.287,
8
+ "eval_wer": 0.21453478482735158
9
+ }
runs/Nov30_01-55-55_83be21523c57/events.out.tfevents.1669788137.83be21523c57.101.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ac3a7127faabd4c12adca66bc41b8907a3ab71c4d928a5a40234f45ee67d445
3
+ size 358
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 49.99,
3
+ "train_loss": 1.0114854598390883,
4
+ "train_runtime": 11573.519,
5
+ "train_samples": 1115,
6
+ "train_samples_per_second": 4.817,
7
+ "train_steps_per_second": 0.298
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2545 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.4629605710506439,
3
+ "best_model_checkpoint": "ai-light-dance_drums_ft_pretrain_wav2vec2-base-new-13k_onset-drums_fold_1/checkpoint-1173",
4
+ "epoch": 49.98924731182796,
5
+ "global_step": 3450,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.14,
12
+ "learning_rate": 2.6999999999999996e-05,
13
+ "loss": 14.4614,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.29,
18
+ "learning_rate": 4.4999999999999996e-05,
19
+ "loss": 39.9587,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.43,
24
+ "learning_rate": 7.5e-05,
25
+ "loss": 24.4939,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.57,
30
+ "learning_rate": 0.000102,
31
+ "loss": 23.3905,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.72,
36
+ "learning_rate": 0.00013199999999999998,
37
+ "loss": 18.0763,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.86,
42
+ "learning_rate": 0.000162,
43
+ "loss": 3.0614,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.99,
48
+ "eval_loss": 5.127472400665283,
49
+ "eval_runtime": 61.8255,
50
+ "eval_samples_per_second": 9.09,
51
+ "eval_steps_per_second": 2.281,
52
+ "eval_wer": 1.0,
53
+ "step": 69
54
+ },
55
+ {
56
+ "epoch": 1.01,
57
+ "learning_rate": 0.00019199999999999998,
58
+ "loss": 3.3451,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 1.16,
63
+ "learning_rate": 0.00022199999999999998,
64
+ "loss": 2.1389,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 1.3,
69
+ "learning_rate": 0.00025199999999999995,
70
+ "loss": 3.8889,
71
+ "step": 90
72
+ },
73
+ {
74
+ "epoch": 1.44,
75
+ "learning_rate": 0.00028199999999999997,
76
+ "loss": 4.1626,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 1.59,
81
+ "learning_rate": 0.0002996417910447761,
82
+ "loss": 2.8016,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 1.73,
87
+ "learning_rate": 0.0002987462686567164,
88
+ "loss": 2.5118,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 1.87,
93
+ "learning_rate": 0.0002978507462686567,
94
+ "loss": 1.8291,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 1.99,
99
+ "eval_loss": 2.2008168697357178,
100
+ "eval_runtime": 61.2052,
101
+ "eval_samples_per_second": 9.182,
102
+ "eval_steps_per_second": 2.304,
103
+ "eval_wer": 1.0,
104
+ "step": 138
105
+ },
106
+ {
107
+ "epoch": 2.03,
108
+ "learning_rate": 0.000296955223880597,
109
+ "loss": 2.1219,
110
+ "step": 140
111
+ },
112
+ {
113
+ "epoch": 2.17,
114
+ "learning_rate": 0.0002960597014925373,
115
+ "loss": 1.568,
116
+ "step": 150
117
+ },
118
+ {
119
+ "epoch": 2.32,
120
+ "learning_rate": 0.0002951641791044776,
121
+ "loss": 2.1417,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 2.46,
126
+ "learning_rate": 0.0002942686567164179,
127
+ "loss": 2.1267,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 2.6,
132
+ "learning_rate": 0.0002933731343283582,
133
+ "loss": 1.5519,
134
+ "step": 180
135
+ },
136
+ {
137
+ "epoch": 2.75,
138
+ "learning_rate": 0.0002924776119402985,
139
+ "loss": 1.6312,
140
+ "step": 190
141
+ },
142
+ {
143
+ "epoch": 2.89,
144
+ "learning_rate": 0.00029158208955223875,
145
+ "loss": 1.4664,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 2.99,
150
+ "eval_loss": 1.682111144065857,
151
+ "eval_runtime": 60.6361,
152
+ "eval_samples_per_second": 9.268,
153
+ "eval_steps_per_second": 2.325,
154
+ "eval_wer": 1.0,
155
+ "step": 207
156
+ },
157
+ {
158
+ "epoch": 3.04,
159
+ "learning_rate": 0.0002906865671641791,
160
+ "loss": 1.6895,
161
+ "step": 210
162
+ },
163
+ {
164
+ "epoch": 3.19,
165
+ "learning_rate": 0.0002897910447761194,
166
+ "loss": 1.3638,
167
+ "step": 220
168
+ },
169
+ {
170
+ "epoch": 3.33,
171
+ "learning_rate": 0.0002888955223880597,
172
+ "loss": 1.5225,
173
+ "step": 230
174
+ },
175
+ {
176
+ "epoch": 3.47,
177
+ "learning_rate": 0.00028799999999999995,
178
+ "loss": 1.459,
179
+ "step": 240
180
+ },
181
+ {
182
+ "epoch": 3.62,
183
+ "learning_rate": 0.0002871044776119403,
184
+ "loss": 1.3825,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 3.76,
189
+ "learning_rate": 0.00028620895522388055,
190
+ "loss": 1.4428,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 3.9,
195
+ "learning_rate": 0.0002853134328358209,
196
+ "loss": 1.287,
197
+ "step": 270
198
+ },
199
+ {
200
+ "epoch": 3.99,
201
+ "eval_loss": 1.5681122541427612,
202
+ "eval_runtime": 62.0132,
203
+ "eval_samples_per_second": 9.063,
204
+ "eval_steps_per_second": 2.274,
205
+ "eval_wer": 1.0,
206
+ "step": 276
207
+ },
208
+ {
209
+ "epoch": 4.06,
210
+ "learning_rate": 0.00028441791044776115,
211
+ "loss": 1.5539,
212
+ "step": 280
213
+ },
214
+ {
215
+ "epoch": 4.2,
216
+ "learning_rate": 0.0002835223880597015,
217
+ "loss": 1.3065,
218
+ "step": 290
219
+ },
220
+ {
221
+ "epoch": 4.34,
222
+ "learning_rate": 0.00028262686567164175,
223
+ "loss": 1.3586,
224
+ "step": 300
225
+ },
226
+ {
227
+ "epoch": 4.49,
228
+ "learning_rate": 0.0002817313432835821,
229
+ "loss": 1.396,
230
+ "step": 310
231
+ },
232
+ {
233
+ "epoch": 4.63,
234
+ "learning_rate": 0.0002808358208955224,
235
+ "loss": 1.2333,
236
+ "step": 320
237
+ },
238
+ {
239
+ "epoch": 4.77,
240
+ "learning_rate": 0.0002799402985074627,
241
+ "loss": 1.4229,
242
+ "step": 330
243
+ },
244
+ {
245
+ "epoch": 4.92,
246
+ "learning_rate": 0.00027904477611940295,
247
+ "loss": 1.2642,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 4.99,
252
+ "eval_loss": 1.507431983947754,
253
+ "eval_runtime": 61.6864,
254
+ "eval_samples_per_second": 9.111,
255
+ "eval_steps_per_second": 2.286,
256
+ "eval_wer": 1.0,
257
+ "step": 345
258
+ },
259
+ {
260
+ "epoch": 5.07,
261
+ "learning_rate": 0.0002781492537313432,
262
+ "loss": 1.4889,
263
+ "step": 350
264
+ },
265
+ {
266
+ "epoch": 5.22,
267
+ "learning_rate": 0.00027725373134328355,
268
+ "loss": 1.2919,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 5.36,
273
+ "learning_rate": 0.0002763582089552239,
274
+ "loss": 1.2431,
275
+ "step": 370
276
+ },
277
+ {
278
+ "epoch": 5.5,
279
+ "learning_rate": 0.00027546268656716415,
280
+ "loss": 1.3312,
281
+ "step": 380
282
+ },
283
+ {
284
+ "epoch": 5.65,
285
+ "learning_rate": 0.0002745671641791044,
286
+ "loss": 1.1704,
287
+ "step": 390
288
+ },
289
+ {
290
+ "epoch": 5.79,
291
+ "learning_rate": 0.00027367164179104475,
292
+ "loss": 1.3583,
293
+ "step": 400
294
+ },
295
+ {
296
+ "epoch": 5.93,
297
+ "learning_rate": 0.000272776119402985,
298
+ "loss": 1.2702,
299
+ "step": 410
300
+ },
301
+ {
302
+ "epoch": 5.99,
303
+ "eval_loss": 1.4650160074234009,
304
+ "eval_runtime": 60.8401,
305
+ "eval_samples_per_second": 9.237,
306
+ "eval_steps_per_second": 2.318,
307
+ "eval_wer": 1.0,
308
+ "step": 414
309
+ },
310
+ {
311
+ "epoch": 6.09,
312
+ "learning_rate": 0.00027188059701492535,
313
+ "loss": 1.4877,
314
+ "step": 420
315
+ },
316
+ {
317
+ "epoch": 6.23,
318
+ "learning_rate": 0.0002709850746268657,
319
+ "loss": 1.3383,
320
+ "step": 430
321
+ },
322
+ {
323
+ "epoch": 6.37,
324
+ "learning_rate": 0.00027008955223880595,
325
+ "loss": 1.2241,
326
+ "step": 440
327
+ },
328
+ {
329
+ "epoch": 6.52,
330
+ "learning_rate": 0.0002691940298507462,
331
+ "loss": 1.4834,
332
+ "step": 450
333
+ },
334
+ {
335
+ "epoch": 6.66,
336
+ "learning_rate": 0.00026829850746268655,
337
+ "loss": 1.3162,
338
+ "step": 460
339
+ },
340
+ {
341
+ "epoch": 6.8,
342
+ "learning_rate": 0.0002674029850746269,
343
+ "loss": 1.3369,
344
+ "step": 470
345
+ },
346
+ {
347
+ "epoch": 6.95,
348
+ "learning_rate": 0.00026650746268656715,
349
+ "loss": 1.2245,
350
+ "step": 480
351
+ },
352
+ {
353
+ "epoch": 6.99,
354
+ "eval_loss": 1.3027324676513672,
355
+ "eval_runtime": 61.9807,
356
+ "eval_samples_per_second": 9.067,
357
+ "eval_steps_per_second": 2.275,
358
+ "eval_wer": 1.0,
359
+ "step": 483
360
+ },
361
+ {
362
+ "epoch": 7.1,
363
+ "learning_rate": 0.0002656119402985074,
364
+ "loss": 1.3505,
365
+ "step": 490
366
+ },
367
+ {
368
+ "epoch": 7.24,
369
+ "learning_rate": 0.00026471641791044775,
370
+ "loss": 1.2848,
371
+ "step": 500
372
+ },
373
+ {
374
+ "epoch": 7.39,
375
+ "learning_rate": 0.000263820895522388,
376
+ "loss": 1.2029,
377
+ "step": 510
378
+ },
379
+ {
380
+ "epoch": 7.53,
381
+ "learning_rate": 0.00026292537313432835,
382
+ "loss": 1.2746,
383
+ "step": 520
384
+ },
385
+ {
386
+ "epoch": 7.67,
387
+ "learning_rate": 0.0002620298507462686,
388
+ "loss": 1.1274,
389
+ "step": 530
390
+ },
391
+ {
392
+ "epoch": 7.82,
393
+ "learning_rate": 0.00026113432835820895,
394
+ "loss": 1.2906,
395
+ "step": 540
396
+ },
397
+ {
398
+ "epoch": 7.96,
399
+ "learning_rate": 0.0002602388059701492,
400
+ "loss": 1.3461,
401
+ "step": 550
402
+ },
403
+ {
404
+ "epoch": 7.99,
405
+ "eval_loss": 1.3108575344085693,
406
+ "eval_runtime": 61.0886,
407
+ "eval_samples_per_second": 9.2,
408
+ "eval_steps_per_second": 2.308,
409
+ "eval_wer": 1.0,
410
+ "step": 552
411
+ },
412
+ {
413
+ "epoch": 8.11,
414
+ "learning_rate": 0.00025934328358208955,
415
+ "loss": 1.2607,
416
+ "step": 560
417
+ },
418
+ {
419
+ "epoch": 8.26,
420
+ "learning_rate": 0.0002584477611940298,
421
+ "loss": 1.3096,
422
+ "step": 570
423
+ },
424
+ {
425
+ "epoch": 8.4,
426
+ "learning_rate": 0.00025755223880597015,
427
+ "loss": 1.093,
428
+ "step": 580
429
+ },
430
+ {
431
+ "epoch": 8.54,
432
+ "learning_rate": 0.0002566567164179104,
433
+ "loss": 1.3239,
434
+ "step": 590
435
+ },
436
+ {
437
+ "epoch": 8.69,
438
+ "learning_rate": 0.0002557611940298507,
439
+ "loss": 1.1256,
440
+ "step": 600
441
+ },
442
+ {
443
+ "epoch": 8.83,
444
+ "learning_rate": 0.000254865671641791,
445
+ "loss": 1.2056,
446
+ "step": 610
447
+ },
448
+ {
449
+ "epoch": 8.97,
450
+ "learning_rate": 0.00025397014925373135,
451
+ "loss": 1.2903,
452
+ "step": 620
453
+ },
454
+ {
455
+ "epoch": 8.99,
456
+ "eval_loss": 1.3107479810714722,
457
+ "eval_runtime": 61.7504,
458
+ "eval_samples_per_second": 9.101,
459
+ "eval_steps_per_second": 2.283,
460
+ "eval_wer": 1.0,
461
+ "step": 621
462
+ },
463
+ {
464
+ "epoch": 9.13,
465
+ "learning_rate": 0.0002530746268656716,
466
+ "loss": 1.1892,
467
+ "step": 630
468
+ },
469
+ {
470
+ "epoch": 9.27,
471
+ "learning_rate": 0.0002521791044776119,
472
+ "loss": 1.2287,
473
+ "step": 640
474
+ },
475
+ {
476
+ "epoch": 9.42,
477
+ "learning_rate": 0.0002512835820895522,
478
+ "loss": 1.0642,
479
+ "step": 650
480
+ },
481
+ {
482
+ "epoch": 9.56,
483
+ "learning_rate": 0.0002503880597014925,
484
+ "loss": 1.2682,
485
+ "step": 660
486
+ },
487
+ {
488
+ "epoch": 9.7,
489
+ "learning_rate": 0.0002494925373134328,
490
+ "loss": 1.1652,
491
+ "step": 670
492
+ },
493
+ {
494
+ "epoch": 9.85,
495
+ "learning_rate": 0.00024859701492537314,
496
+ "loss": 1.1737,
497
+ "step": 680
498
+ },
499
+ {
500
+ "epoch": 9.99,
501
+ "learning_rate": 0.0002477014925373134,
502
+ "loss": 1.2741,
503
+ "step": 690
504
+ },
505
+ {
506
+ "epoch": 9.99,
507
+ "eval_loss": 1.1842212677001953,
508
+ "eval_runtime": 61.8553,
509
+ "eval_samples_per_second": 9.086,
510
+ "eval_steps_per_second": 2.28,
511
+ "eval_wer": 1.0,
512
+ "step": 690
513
+ },
514
+ {
515
+ "epoch": 10.14,
516
+ "learning_rate": 0.0002468059701492537,
517
+ "loss": 1.1723,
518
+ "step": 700
519
+ },
520
+ {
521
+ "epoch": 10.29,
522
+ "learning_rate": 0.000245910447761194,
523
+ "loss": 1.2786,
524
+ "step": 710
525
+ },
526
+ {
527
+ "epoch": 10.43,
528
+ "learning_rate": 0.00024501492537313434,
529
+ "loss": 1.0985,
530
+ "step": 720
531
+ },
532
+ {
533
+ "epoch": 10.57,
534
+ "learning_rate": 0.00024411940298507462,
535
+ "loss": 1.1873,
536
+ "step": 730
537
+ },
538
+ {
539
+ "epoch": 10.72,
540
+ "learning_rate": 0.0002432238805970149,
541
+ "loss": 1.1893,
542
+ "step": 740
543
+ },
544
+ {
545
+ "epoch": 10.86,
546
+ "learning_rate": 0.0002423283582089552,
547
+ "loss": 1.1446,
548
+ "step": 750
549
+ },
550
+ {
551
+ "epoch": 10.99,
552
+ "eval_loss": 1.1754302978515625,
553
+ "eval_runtime": 61.1816,
554
+ "eval_samples_per_second": 9.186,
555
+ "eval_steps_per_second": 2.305,
556
+ "eval_wer": 1.0,
557
+ "step": 759
558
+ },
559
+ {
560
+ "epoch": 11.01,
561
+ "learning_rate": 0.00024143283582089552,
562
+ "loss": 1.3346,
563
+ "step": 760
564
+ },
565
+ {
566
+ "epoch": 11.16,
567
+ "learning_rate": 0.0002405373134328358,
568
+ "loss": 1.029,
569
+ "step": 770
570
+ },
571
+ {
572
+ "epoch": 11.3,
573
+ "learning_rate": 0.0002396417910447761,
574
+ "loss": 1.2201,
575
+ "step": 780
576
+ },
577
+ {
578
+ "epoch": 11.44,
579
+ "learning_rate": 0.00023874626865671641,
580
+ "loss": 1.1011,
581
+ "step": 790
582
+ },
583
+ {
584
+ "epoch": 11.59,
585
+ "learning_rate": 0.0002378507462686567,
586
+ "loss": 1.1429,
587
+ "step": 800
588
+ },
589
+ {
590
+ "epoch": 11.73,
591
+ "learning_rate": 0.000236955223880597,
592
+ "loss": 1.2601,
593
+ "step": 810
594
+ },
595
+ {
596
+ "epoch": 11.87,
597
+ "learning_rate": 0.0002360597014925373,
598
+ "loss": 1.0746,
599
+ "step": 820
600
+ },
601
+ {
602
+ "epoch": 11.99,
603
+ "eval_loss": 1.1468886137008667,
604
+ "eval_runtime": 63.7687,
605
+ "eval_samples_per_second": 8.813,
606
+ "eval_steps_per_second": 2.211,
607
+ "eval_wer": 0.9999149515223678,
608
+ "step": 828
609
+ },
610
+ {
611
+ "epoch": 12.03,
612
+ "learning_rate": 0.00023516417910447761,
613
+ "loss": 1.3232,
614
+ "step": 830
615
+ },
616
+ {
617
+ "epoch": 12.17,
618
+ "learning_rate": 0.0002342686567164179,
619
+ "loss": 1.0437,
620
+ "step": 840
621
+ },
622
+ {
623
+ "epoch": 12.32,
624
+ "learning_rate": 0.0002333731343283582,
625
+ "loss": 1.132,
626
+ "step": 850
627
+ },
628
+ {
629
+ "epoch": 12.46,
630
+ "learning_rate": 0.00023247761194029851,
631
+ "loss": 1.0021,
632
+ "step": 860
633
+ },
634
+ {
635
+ "epoch": 12.6,
636
+ "learning_rate": 0.00023158208955223879,
637
+ "loss": 0.9904,
638
+ "step": 870
639
+ },
640
+ {
641
+ "epoch": 12.75,
642
+ "learning_rate": 0.00023068656716417909,
643
+ "loss": 1.1869,
644
+ "step": 880
645
+ },
646
+ {
647
+ "epoch": 12.89,
648
+ "learning_rate": 0.00022979104477611936,
649
+ "loss": 0.8203,
650
+ "step": 890
651
+ },
652
+ {
653
+ "epoch": 12.99,
654
+ "eval_loss": 0.907135546207428,
655
+ "eval_runtime": 61.3963,
656
+ "eval_samples_per_second": 9.154,
657
+ "eval_steps_per_second": 2.297,
658
+ "eval_wer": 0.6201734988943698,
659
+ "step": 897
660
+ },
661
+ {
662
+ "epoch": 13.04,
663
+ "learning_rate": 0.00022889552238805969,
664
+ "loss": 1.2374,
665
+ "step": 900
666
+ },
667
+ {
668
+ "epoch": 13.19,
669
+ "learning_rate": 0.00022799999999999999,
670
+ "loss": 0.791,
671
+ "step": 910
672
+ },
673
+ {
674
+ "epoch": 13.33,
675
+ "learning_rate": 0.00022710447761194029,
676
+ "loss": 0.9579,
677
+ "step": 920
678
+ },
679
+ {
680
+ "epoch": 13.47,
681
+ "learning_rate": 0.00022620895522388056,
682
+ "loss": 0.9683,
683
+ "step": 930
684
+ },
685
+ {
686
+ "epoch": 13.62,
687
+ "learning_rate": 0.00022531343283582088,
688
+ "loss": 0.6633,
689
+ "step": 940
690
+ },
691
+ {
692
+ "epoch": 13.76,
693
+ "learning_rate": 0.00022441791044776118,
694
+ "loss": 1.0536,
695
+ "step": 950
696
+ },
697
+ {
698
+ "epoch": 13.9,
699
+ "learning_rate": 0.00022352238805970146,
700
+ "loss": 0.5996,
701
+ "step": 960
702
+ },
703
+ {
704
+ "epoch": 13.99,
705
+ "eval_loss": 0.7047128677368164,
706
+ "eval_runtime": 61.3196,
707
+ "eval_samples_per_second": 9.165,
708
+ "eval_steps_per_second": 2.299,
709
+ "eval_wer": 0.4233713216533424,
710
+ "step": 966
711
+ },
712
+ {
713
+ "epoch": 14.06,
714
+ "learning_rate": 0.00022262686567164178,
715
+ "loss": 0.9754,
716
+ "step": 970
717
+ },
718
+ {
719
+ "epoch": 14.2,
720
+ "learning_rate": 0.00022173134328358208,
721
+ "loss": 0.6592,
722
+ "step": 980
723
+ },
724
+ {
725
+ "epoch": 14.34,
726
+ "learning_rate": 0.00022083582089552236,
727
+ "loss": 0.663,
728
+ "step": 990
729
+ },
730
+ {
731
+ "epoch": 14.49,
732
+ "learning_rate": 0.00021994029850746266,
733
+ "loss": 0.8436,
734
+ "step": 1000
735
+ },
736
+ {
737
+ "epoch": 14.63,
738
+ "learning_rate": 0.00021904477611940298,
739
+ "loss": 0.5158,
740
+ "step": 1010
741
+ },
742
+ {
743
+ "epoch": 14.77,
744
+ "learning_rate": 0.00021814925373134326,
745
+ "loss": 0.9818,
746
+ "step": 1020
747
+ },
748
+ {
749
+ "epoch": 14.92,
750
+ "learning_rate": 0.00021725373134328356,
751
+ "loss": 0.5672,
752
+ "step": 1030
753
+ },
754
+ {
755
+ "epoch": 14.99,
756
+ "eval_loss": 0.5368545055389404,
757
+ "eval_runtime": 64.4409,
758
+ "eval_samples_per_second": 8.721,
759
+ "eval_steps_per_second": 2.188,
760
+ "eval_wer": 0.2566763054941317,
761
+ "step": 1035
762
+ },
763
+ {
764
+ "epoch": 15.07,
765
+ "learning_rate": 0.00021635820895522388,
766
+ "loss": 0.8306,
767
+ "step": 1040
768
+ },
769
+ {
770
+ "epoch": 15.22,
771
+ "learning_rate": 0.00021546268656716416,
772
+ "loss": 0.6282,
773
+ "step": 1050
774
+ },
775
+ {
776
+ "epoch": 15.36,
777
+ "learning_rate": 0.00021456716417910446,
778
+ "loss": 0.5391,
779
+ "step": 1060
780
+ },
781
+ {
782
+ "epoch": 15.5,
783
+ "learning_rate": 0.00021367164179104476,
784
+ "loss": 0.8652,
785
+ "step": 1070
786
+ },
787
+ {
788
+ "epoch": 15.65,
789
+ "learning_rate": 0.00021277611940298505,
790
+ "loss": 0.4055,
791
+ "step": 1080
792
+ },
793
+ {
794
+ "epoch": 15.79,
795
+ "learning_rate": 0.00021188059701492535,
796
+ "loss": 0.8259,
797
+ "step": 1090
798
+ },
799
+ {
800
+ "epoch": 15.93,
801
+ "learning_rate": 0.00021098507462686565,
802
+ "loss": 0.4965,
803
+ "step": 1100
804
+ },
805
+ {
806
+ "epoch": 15.99,
807
+ "eval_loss": 0.4643840193748474,
808
+ "eval_runtime": 64.7572,
809
+ "eval_samples_per_second": 8.679,
810
+ "eval_steps_per_second": 2.177,
811
+ "eval_wer": 0.2861456029937064,
812
+ "step": 1104
813
+ },
814
+ {
815
+ "epoch": 16.09,
816
+ "learning_rate": 0.00021008955223880593,
817
+ "loss": 0.6985,
818
+ "step": 1110
819
+ },
820
+ {
821
+ "epoch": 16.23,
822
+ "learning_rate": 0.00020919402985074625,
823
+ "loss": 0.7038,
824
+ "step": 1120
825
+ },
826
+ {
827
+ "epoch": 16.37,
828
+ "learning_rate": 0.00020829850746268655,
829
+ "loss": 0.4604,
830
+ "step": 1130
831
+ },
832
+ {
833
+ "epoch": 16.52,
834
+ "learning_rate": 0.00020740298507462683,
835
+ "loss": 0.7335,
836
+ "step": 1140
837
+ },
838
+ {
839
+ "epoch": 16.66,
840
+ "learning_rate": 0.00020650746268656715,
841
+ "loss": 0.3868,
842
+ "step": 1150
843
+ },
844
+ {
845
+ "epoch": 16.8,
846
+ "learning_rate": 0.00020561194029850745,
847
+ "loss": 0.8036,
848
+ "step": 1160
849
+ },
850
+ {
851
+ "epoch": 16.95,
852
+ "learning_rate": 0.00020471641791044773,
853
+ "loss": 0.5639,
854
+ "step": 1170
855
+ },
856
+ {
857
+ "epoch": 16.99,
858
+ "eval_loss": 0.4629605710506439,
859
+ "eval_runtime": 63.6923,
860
+ "eval_samples_per_second": 8.824,
861
+ "eval_steps_per_second": 2.214,
862
+ "eval_wer": 0.21453478482735158,
863
+ "step": 1173
864
+ },
865
+ {
866
+ "epoch": 17.1,
867
+ "learning_rate": 0.00020382089552238803,
868
+ "loss": 0.5344,
869
+ "step": 1180
870
+ },
871
+ {
872
+ "epoch": 17.24,
873
+ "learning_rate": 0.00020292537313432835,
874
+ "loss": 0.7905,
875
+ "step": 1190
876
+ },
877
+ {
878
+ "epoch": 17.39,
879
+ "learning_rate": 0.00020202985074626865,
880
+ "loss": 0.2889,
881
+ "step": 1200
882
+ },
883
+ {
884
+ "epoch": 17.53,
885
+ "learning_rate": 0.00020113432835820893,
886
+ "loss": 0.7319,
887
+ "step": 1210
888
+ },
889
+ {
890
+ "epoch": 17.67,
891
+ "learning_rate": 0.00020023880597014925,
892
+ "loss": 0.4832,
893
+ "step": 1220
894
+ },
895
+ {
896
+ "epoch": 17.82,
897
+ "learning_rate": 0.00019934328358208955,
898
+ "loss": 0.6016,
899
+ "step": 1230
900
+ },
901
+ {
902
+ "epoch": 17.96,
903
+ "learning_rate": 0.00019844776119402982,
904
+ "loss": 0.6272,
905
+ "step": 1240
906
+ },
907
+ {
908
+ "epoch": 17.99,
909
+ "eval_loss": 0.6847624778747559,
910
+ "eval_runtime": 62.179,
911
+ "eval_samples_per_second": 9.038,
912
+ "eval_steps_per_second": 2.268,
913
+ "eval_wer": 0.26666950161592107,
914
+ "step": 1242
915
+ },
916
+ {
917
+ "epoch": 18.11,
918
+ "learning_rate": 0.00019755223880597012,
919
+ "loss": 0.4069,
920
+ "step": 1250
921
+ },
922
+ {
923
+ "epoch": 18.26,
924
+ "learning_rate": 0.00019665671641791045,
925
+ "loss": 0.6994,
926
+ "step": 1260
927
+ },
928
+ {
929
+ "epoch": 18.4,
930
+ "learning_rate": 0.00019576119402985072,
931
+ "loss": 0.291,
932
+ "step": 1270
933
+ },
934
+ {
935
+ "epoch": 18.54,
936
+ "learning_rate": 0.00019486567164179102,
937
+ "loss": 0.6654,
938
+ "step": 1280
939
+ },
940
+ {
941
+ "epoch": 18.69,
942
+ "learning_rate": 0.00019397014925373132,
943
+ "loss": 0.4326,
944
+ "step": 1290
945
+ },
946
+ {
947
+ "epoch": 18.83,
948
+ "learning_rate": 0.00019307462686567162,
949
+ "loss": 0.5143,
950
+ "step": 1300
951
+ },
952
+ {
953
+ "epoch": 18.97,
954
+ "learning_rate": 0.00019217910447761192,
955
+ "loss": 0.6764,
956
+ "step": 1310
957
+ },
958
+ {
959
+ "epoch": 18.99,
960
+ "eval_loss": 0.6074081659317017,
961
+ "eval_runtime": 63.0738,
962
+ "eval_samples_per_second": 8.91,
963
+ "eval_steps_per_second": 2.235,
964
+ "eval_wer": 0.25076543629869025,
965
+ "step": 1311
966
+ },
967
+ {
968
+ "epoch": 19.13,
969
+ "learning_rate": 0.00019128358208955222,
970
+ "loss": 0.3389,
971
+ "step": 1320
972
+ },
973
+ {
974
+ "epoch": 19.27,
975
+ "learning_rate": 0.00019038805970149252,
976
+ "loss": 0.6627,
977
+ "step": 1330
978
+ },
979
+ {
980
+ "epoch": 19.42,
981
+ "learning_rate": 0.00018949253731343282,
982
+ "loss": 0.3527,
983
+ "step": 1340
984
+ },
985
+ {
986
+ "epoch": 19.56,
987
+ "learning_rate": 0.00018859701492537312,
988
+ "loss": 0.7161,
989
+ "step": 1350
990
+ },
991
+ {
992
+ "epoch": 19.7,
993
+ "learning_rate": 0.0001877014925373134,
994
+ "loss": 0.4466,
995
+ "step": 1360
996
+ },
997
+ {
998
+ "epoch": 19.85,
999
+ "learning_rate": 0.00018680597014925372,
1000
+ "loss": 0.3684,
1001
+ "step": 1370
1002
+ },
1003
+ {
1004
+ "epoch": 19.99,
1005
+ "learning_rate": 0.00018591044776119402,
1006
+ "loss": 0.7205,
1007
+ "step": 1380
1008
+ },
1009
+ {
1010
+ "epoch": 19.99,
1011
+ "eval_loss": 0.6451706886291504,
1012
+ "eval_runtime": 61.4879,
1013
+ "eval_samples_per_second": 9.14,
1014
+ "eval_steps_per_second": 2.293,
1015
+ "eval_wer": 0.21844701479843512,
1016
+ "step": 1380
1017
+ },
1018
+ {
1019
+ "epoch": 20.14,
1020
+ "learning_rate": 0.0001850149253731343,
1021
+ "loss": 0.295,
1022
+ "step": 1390
1023
+ },
1024
+ {
1025
+ "epoch": 20.29,
1026
+ "learning_rate": 0.00018411940298507462,
1027
+ "loss": 0.6178,
1028
+ "step": 1400
1029
+ },
1030
+ {
1031
+ "epoch": 20.43,
1032
+ "learning_rate": 0.00018322388059701492,
1033
+ "loss": 0.349,
1034
+ "step": 1410
1035
+ },
1036
+ {
1037
+ "epoch": 20.57,
1038
+ "learning_rate": 0.0001823283582089552,
1039
+ "loss": 0.5619,
1040
+ "step": 1420
1041
+ },
1042
+ {
1043
+ "epoch": 20.72,
1044
+ "learning_rate": 0.0001814328358208955,
1045
+ "loss": 0.4867,
1046
+ "step": 1430
1047
+ },
1048
+ {
1049
+ "epoch": 20.86,
1050
+ "learning_rate": 0.00018053731343283582,
1051
+ "loss": 0.346,
1052
+ "step": 1440
1053
+ },
1054
+ {
1055
+ "epoch": 20.99,
1056
+ "eval_loss": 0.596199095249176,
1057
+ "eval_runtime": 62.9086,
1058
+ "eval_samples_per_second": 8.934,
1059
+ "eval_steps_per_second": 2.241,
1060
+ "eval_wer": 0.2457475761183875,
1061
+ "step": 1449
1062
+ },
1063
+ {
1064
+ "epoch": 21.01,
1065
+ "learning_rate": 0.0001796417910447761,
1066
+ "loss": 0.7285,
1067
+ "step": 1450
1068
+ },
1069
+ {
1070
+ "epoch": 21.16,
1071
+ "learning_rate": 0.0001787462686567164,
1072
+ "loss": 0.2096,
1073
+ "step": 1460
1074
+ },
1075
+ {
1076
+ "epoch": 21.3,
1077
+ "learning_rate": 0.0001778507462686567,
1078
+ "loss": 0.6799,
1079
+ "step": 1470
1080
+ },
1081
+ {
1082
+ "epoch": 21.44,
1083
+ "learning_rate": 0.00017695522388059702,
1084
+ "loss": 0.3988,
1085
+ "step": 1480
1086
+ },
1087
+ {
1088
+ "epoch": 21.59,
1089
+ "learning_rate": 0.0001760597014925373,
1090
+ "loss": 0.4867,
1091
+ "step": 1490
1092
+ },
1093
+ {
1094
+ "epoch": 21.73,
1095
+ "learning_rate": 0.0001751641791044776,
1096
+ "loss": 0.5862,
1097
+ "step": 1500
1098
+ },
1099
+ {
1100
+ "epoch": 21.87,
1101
+ "learning_rate": 0.00017426865671641792,
1102
+ "loss": 0.2212,
1103
+ "step": 1510
1104
+ },
1105
+ {
1106
+ "epoch": 21.99,
1107
+ "eval_loss": 0.523625373840332,
1108
+ "eval_runtime": 62.2688,
1109
+ "eval_samples_per_second": 9.025,
1110
+ "eval_steps_per_second": 2.264,
1111
+ "eval_wer": 0.20683789760163293,
1112
+ "step": 1518
1113
+ },
1114
+ {
1115
+ "epoch": 22.03,
1116
+ "learning_rate": 0.0001733731343283582,
1117
+ "loss": 0.6216,
1118
+ "step": 1520
1119
+ },
1120
+ {
1121
+ "epoch": 22.17,
1122
+ "learning_rate": 0.0001724776119402985,
1123
+ "loss": 0.2327,
1124
+ "step": 1530
1125
+ },
1126
+ {
1127
+ "epoch": 22.32,
1128
+ "learning_rate": 0.00017158208955223876,
1129
+ "loss": 0.5753,
1130
+ "step": 1540
1131
+ },
1132
+ {
1133
+ "epoch": 22.46,
1134
+ "learning_rate": 0.0001706865671641791,
1135
+ "loss": 0.4677,
1136
+ "step": 1550
1137
+ },
1138
+ {
1139
+ "epoch": 22.6,
1140
+ "learning_rate": 0.0001697910447761194,
1141
+ "loss": 0.4016,
1142
+ "step": 1560
1143
+ },
1144
+ {
1145
+ "epoch": 22.75,
1146
+ "learning_rate": 0.0001688955223880597,
1147
+ "loss": 0.6864,
1148
+ "step": 1570
1149
+ },
1150
+ {
1151
+ "epoch": 22.89,
1152
+ "learning_rate": 0.000168,
1153
+ "loss": 0.1646,
1154
+ "step": 1580
1155
+ },
1156
+ {
1157
+ "epoch": 22.99,
1158
+ "eval_loss": 0.6130056977272034,
1159
+ "eval_runtime": 62.039,
1160
+ "eval_samples_per_second": 9.059,
1161
+ "eval_steps_per_second": 2.273,
1162
+ "eval_wer": 0.21976526620173498,
1163
+ "step": 1587
1164
+ },
1165
+ {
1166
+ "epoch": 23.04,
1167
+ "learning_rate": 0.0001671044776119403,
1168
+ "loss": 0.6475,
1169
+ "step": 1590
1170
+ },
1171
+ {
1172
+ "epoch": 23.19,
1173
+ "learning_rate": 0.0001662089552238806,
1174
+ "loss": 0.2693,
1175
+ "step": 1600
1176
+ },
1177
+ {
1178
+ "epoch": 23.33,
1179
+ "learning_rate": 0.00016531343283582086,
1180
+ "loss": 0.3855,
1181
+ "step": 1610
1182
+ },
1183
+ {
1184
+ "epoch": 23.47,
1185
+ "learning_rate": 0.0001644179104477612,
1186
+ "loss": 0.5039,
1187
+ "step": 1620
1188
+ },
1189
+ {
1190
+ "epoch": 23.62,
1191
+ "learning_rate": 0.0001635223880597015,
1192
+ "loss": 0.2613,
1193
+ "step": 1630
1194
+ },
1195
+ {
1196
+ "epoch": 23.76,
1197
+ "learning_rate": 0.00016262686567164176,
1198
+ "loss": 0.637,
1199
+ "step": 1640
1200
+ },
1201
+ {
1202
+ "epoch": 23.9,
1203
+ "learning_rate": 0.00016173134328358206,
1204
+ "loss": 0.3148,
1205
+ "step": 1650
1206
+ },
1207
+ {
1208
+ "epoch": 23.99,
1209
+ "eval_loss": 0.5591665506362915,
1210
+ "eval_runtime": 62.379,
1211
+ "eval_samples_per_second": 9.009,
1212
+ "eval_steps_per_second": 2.26,
1213
+ "eval_wer": 0.2620343595849634,
1214
+ "step": 1656
1215
+ },
1216
+ {
1217
+ "epoch": 24.06,
1218
+ "learning_rate": 0.0001608358208955224,
1219
+ "loss": 0.5373,
1220
+ "step": 1660
1221
+ },
1222
+ {
1223
+ "epoch": 24.2,
1224
+ "learning_rate": 0.00015994029850746266,
1225
+ "loss": 0.3759,
1226
+ "step": 1670
1227
+ },
1228
+ {
1229
+ "epoch": 24.34,
1230
+ "learning_rate": 0.00015904477611940296,
1231
+ "loss": 0.466,
1232
+ "step": 1680
1233
+ },
1234
+ {
1235
+ "epoch": 24.49,
1236
+ "learning_rate": 0.0001581492537313433,
1237
+ "loss": 0.5259,
1238
+ "step": 1690
1239
+ },
1240
+ {
1241
+ "epoch": 24.63,
1242
+ "learning_rate": 0.00015725373134328356,
1243
+ "loss": 0.174,
1244
+ "step": 1700
1245
+ },
1246
+ {
1247
+ "epoch": 24.77,
1248
+ "learning_rate": 0.00015635820895522386,
1249
+ "loss": 0.5319,
1250
+ "step": 1710
1251
+ },
1252
+ {
1253
+ "epoch": 24.92,
1254
+ "learning_rate": 0.00015546268656716416,
1255
+ "loss": 0.3061,
1256
+ "step": 1720
1257
+ },
1258
+ {
1259
+ "epoch": 24.99,
1260
+ "eval_loss": 0.5576915740966797,
1261
+ "eval_runtime": 61.4469,
1262
+ "eval_samples_per_second": 9.146,
1263
+ "eval_steps_per_second": 2.295,
1264
+ "eval_wer": 0.2560384419118898,
1265
+ "step": 1725
1266
+ },
1267
+ {
1268
+ "epoch": 25.07,
1269
+ "learning_rate": 0.0001545671641791045,
1270
+ "loss": 0.5376,
1271
+ "step": 1730
1272
+ },
1273
+ {
1274
+ "epoch": 25.22,
1275
+ "learning_rate": 0.00015367164179104476,
1276
+ "loss": 0.4242,
1277
+ "step": 1740
1278
+ },
1279
+ {
1280
+ "epoch": 25.36,
1281
+ "learning_rate": 0.00015277611940298506,
1282
+ "loss": 0.3064,
1283
+ "step": 1750
1284
+ },
1285
+ {
1286
+ "epoch": 25.5,
1287
+ "learning_rate": 0.0001518805970149254,
1288
+ "loss": 0.5369,
1289
+ "step": 1760
1290
+ },
1291
+ {
1292
+ "epoch": 25.65,
1293
+ "learning_rate": 0.00015098507462686566,
1294
+ "loss": 0.2128,
1295
+ "step": 1770
1296
+ },
1297
+ {
1298
+ "epoch": 25.79,
1299
+ "learning_rate": 0.00015008955223880596,
1300
+ "loss": 0.5043,
1301
+ "step": 1780
1302
+ },
1303
+ {
1304
+ "epoch": 25.93,
1305
+ "learning_rate": 0.00014919402985074626,
1306
+ "loss": 0.3137,
1307
+ "step": 1790
1308
+ },
1309
+ {
1310
+ "epoch": 25.99,
1311
+ "eval_loss": 0.5247139930725098,
1312
+ "eval_runtime": 61.5961,
1313
+ "eval_samples_per_second": 9.124,
1314
+ "eval_steps_per_second": 2.289,
1315
+ "eval_wer": 0.2226569144412315,
1316
+ "step": 1794
1317
+ },
1318
+ {
1319
+ "epoch": 26.09,
1320
+ "learning_rate": 0.00014829850746268656,
1321
+ "loss": 0.4782,
1322
+ "step": 1800
1323
+ },
1324
+ {
1325
+ "epoch": 26.23,
1326
+ "learning_rate": 0.00014740298507462686,
1327
+ "loss": 0.5075,
1328
+ "step": 1810
1329
+ },
1330
+ {
1331
+ "epoch": 26.37,
1332
+ "learning_rate": 0.00014650746268656716,
1333
+ "loss": 0.3237,
1334
+ "step": 1820
1335
+ },
1336
+ {
1337
+ "epoch": 26.52,
1338
+ "learning_rate": 0.00014561194029850746,
1339
+ "loss": 0.5464,
1340
+ "step": 1830
1341
+ },
1342
+ {
1343
+ "epoch": 26.66,
1344
+ "learning_rate": 0.00014471641791044773,
1345
+ "loss": 0.2409,
1346
+ "step": 1840
1347
+ },
1348
+ {
1349
+ "epoch": 26.8,
1350
+ "learning_rate": 0.00014382089552238806,
1351
+ "loss": 0.4431,
1352
+ "step": 1850
1353
+ },
1354
+ {
1355
+ "epoch": 26.95,
1356
+ "learning_rate": 0.00014292537313432836,
1357
+ "loss": 0.389,
1358
+ "step": 1860
1359
+ },
1360
+ {
1361
+ "epoch": 26.99,
1362
+ "eval_loss": 0.5799093246459961,
1363
+ "eval_runtime": 62.2481,
1364
+ "eval_samples_per_second": 9.028,
1365
+ "eval_steps_per_second": 2.265,
1366
+ "eval_wer": 0.2081136247661167,
1367
+ "step": 1863
1368
+ },
1369
+ {
1370
+ "epoch": 27.1,
1371
+ "learning_rate": 0.00014202985074626863,
1372
+ "loss": 0.3481,
1373
+ "step": 1870
1374
+ },
1375
+ {
1376
+ "epoch": 27.24,
1377
+ "learning_rate": 0.00014113432835820896,
1378
+ "loss": 0.6519,
1379
+ "step": 1880
1380
+ },
1381
+ {
1382
+ "epoch": 27.39,
1383
+ "learning_rate": 0.00014023880597014923,
1384
+ "loss": 0.1449,
1385
+ "step": 1890
1386
+ },
1387
+ {
1388
+ "epoch": 27.53,
1389
+ "learning_rate": 0.00013934328358208953,
1390
+ "loss": 0.5128,
1391
+ "step": 1900
1392
+ },
1393
+ {
1394
+ "epoch": 27.67,
1395
+ "learning_rate": 0.00013844776119402983,
1396
+ "loss": 0.2642,
1397
+ "step": 1910
1398
+ },
1399
+ {
1400
+ "epoch": 27.82,
1401
+ "learning_rate": 0.00013755223880597013,
1402
+ "loss": 0.3895,
1403
+ "step": 1920
1404
+ },
1405
+ {
1406
+ "epoch": 27.96,
1407
+ "learning_rate": 0.00013665671641791043,
1408
+ "loss": 0.4168,
1409
+ "step": 1930
1410
+ },
1411
+ {
1412
+ "epoch": 27.99,
1413
+ "eval_loss": 0.5849633812904358,
1414
+ "eval_runtime": 62.1221,
1415
+ "eval_samples_per_second": 9.047,
1416
+ "eval_steps_per_second": 2.27,
1417
+ "eval_wer": 0.18183364517775133,
1418
+ "step": 1932
1419
+ },
1420
+ {
1421
+ "epoch": 28.11,
1422
+ "learning_rate": 0.00013576119402985073,
1423
+ "loss": 0.3046,
1424
+ "step": 1940
1425
+ },
1426
+ {
1427
+ "epoch": 28.26,
1428
+ "learning_rate": 0.00013486567164179103,
1429
+ "loss": 0.5701,
1430
+ "step": 1950
1431
+ },
1432
+ {
1433
+ "epoch": 28.4,
1434
+ "learning_rate": 0.00013397014925373133,
1435
+ "loss": 0.1974,
1436
+ "step": 1960
1437
+ },
1438
+ {
1439
+ "epoch": 28.54,
1440
+ "learning_rate": 0.00013307462686567163,
1441
+ "loss": 0.5276,
1442
+ "step": 1970
1443
+ },
1444
+ {
1445
+ "epoch": 28.69,
1446
+ "learning_rate": 0.00013217910447761193,
1447
+ "loss": 0.2903,
1448
+ "step": 1980
1449
+ },
1450
+ {
1451
+ "epoch": 28.83,
1452
+ "learning_rate": 0.00013128358208955223,
1453
+ "loss": 0.4352,
1454
+ "step": 1990
1455
+ },
1456
+ {
1457
+ "epoch": 28.97,
1458
+ "learning_rate": 0.00013038805970149253,
1459
+ "loss": 0.4403,
1460
+ "step": 2000
1461
+ },
1462
+ {
1463
+ "epoch": 28.99,
1464
+ "eval_loss": 0.5686776638031006,
1465
+ "eval_runtime": 61.501,
1466
+ "eval_samples_per_second": 9.138,
1467
+ "eval_steps_per_second": 2.293,
1468
+ "eval_wer": 0.20530702500425244,
1469
+ "step": 2001
1470
+ },
1471
+ {
1472
+ "epoch": 29.13,
1473
+ "learning_rate": 0.00012949253731343283,
1474
+ "loss": 0.2081,
1475
+ "step": 2010
1476
+ },
1477
+ {
1478
+ "epoch": 29.27,
1479
+ "learning_rate": 0.00012859701492537313,
1480
+ "loss": 0.5283,
1481
+ "step": 2020
1482
+ },
1483
+ {
1484
+ "epoch": 29.42,
1485
+ "learning_rate": 0.00012770149253731343,
1486
+ "loss": 0.1902,
1487
+ "step": 2030
1488
+ },
1489
+ {
1490
+ "epoch": 29.56,
1491
+ "learning_rate": 0.00012680597014925373,
1492
+ "loss": 0.3889,
1493
+ "step": 2040
1494
+ },
1495
+ {
1496
+ "epoch": 29.7,
1497
+ "learning_rate": 0.00012591044776119403,
1498
+ "loss": 0.3573,
1499
+ "step": 2050
1500
+ },
1501
+ {
1502
+ "epoch": 29.85,
1503
+ "learning_rate": 0.00012501492537313433,
1504
+ "loss": 0.3416,
1505
+ "step": 2060
1506
+ },
1507
+ {
1508
+ "epoch": 29.99,
1509
+ "learning_rate": 0.0001241194029850746,
1510
+ "loss": 0.4936,
1511
+ "step": 2070
1512
+ },
1513
+ {
1514
+ "epoch": 29.99,
1515
+ "eval_loss": 0.5511252880096436,
1516
+ "eval_runtime": 62.8347,
1517
+ "eval_samples_per_second": 8.944,
1518
+ "eval_steps_per_second": 2.244,
1519
+ "eval_wer": 0.20649770369110393,
1520
+ "step": 2070
1521
+ },
1522
+ {
1523
+ "epoch": 30.14,
1524
+ "learning_rate": 0.00012322388059701493,
1525
+ "loss": 0.2105,
1526
+ "step": 2080
1527
+ },
1528
+ {
1529
+ "epoch": 30.29,
1530
+ "learning_rate": 0.0001223283582089552,
1531
+ "loss": 0.5383,
1532
+ "step": 2090
1533
+ },
1534
+ {
1535
+ "epoch": 30.43,
1536
+ "learning_rate": 0.00012143283582089551,
1537
+ "loss": 0.2471,
1538
+ "step": 2100
1539
+ },
1540
+ {
1541
+ "epoch": 30.57,
1542
+ "learning_rate": 0.0001205373134328358,
1543
+ "loss": 0.3912,
1544
+ "step": 2110
1545
+ },
1546
+ {
1547
+ "epoch": 30.72,
1548
+ "learning_rate": 0.00011964179104477611,
1549
+ "loss": 0.3958,
1550
+ "step": 2120
1551
+ },
1552
+ {
1553
+ "epoch": 30.86,
1554
+ "learning_rate": 0.00011874626865671641,
1555
+ "loss": 0.2196,
1556
+ "step": 2130
1557
+ },
1558
+ {
1559
+ "epoch": 30.99,
1560
+ "eval_loss": 0.5438033938407898,
1561
+ "eval_runtime": 62.6522,
1562
+ "eval_samples_per_second": 8.97,
1563
+ "eval_steps_per_second": 2.251,
1564
+ "eval_wer": 0.1706497703691104,
1565
+ "step": 2139
1566
+ },
1567
+ {
1568
+ "epoch": 31.01,
1569
+ "learning_rate": 0.0001178507462686567,
1570
+ "loss": 0.5293,
1571
+ "step": 2140
1572
+ },
1573
+ {
1574
+ "epoch": 31.16,
1575
+ "learning_rate": 0.00011695522388059701,
1576
+ "loss": 0.1327,
1577
+ "step": 2150
1578
+ },
1579
+ {
1580
+ "epoch": 31.3,
1581
+ "learning_rate": 0.0001160597014925373,
1582
+ "loss": 0.4653,
1583
+ "step": 2160
1584
+ },
1585
+ {
1586
+ "epoch": 31.44,
1587
+ "learning_rate": 0.00011516417910447761,
1588
+ "loss": 0.3382,
1589
+ "step": 2170
1590
+ },
1591
+ {
1592
+ "epoch": 31.59,
1593
+ "learning_rate": 0.0001142686567164179,
1594
+ "loss": 0.3416,
1595
+ "step": 2180
1596
+ },
1597
+ {
1598
+ "epoch": 31.73,
1599
+ "learning_rate": 0.0001133731343283582,
1600
+ "loss": 0.5245,
1601
+ "step": 2190
1602
+ },
1603
+ {
1604
+ "epoch": 31.87,
1605
+ "learning_rate": 0.00011247761194029848,
1606
+ "loss": 0.1683,
1607
+ "step": 2200
1608
+ },
1609
+ {
1610
+ "epoch": 31.99,
1611
+ "eval_loss": 0.60663241147995,
1612
+ "eval_runtime": 61.8918,
1613
+ "eval_samples_per_second": 9.08,
1614
+ "eval_steps_per_second": 2.278,
1615
+ "eval_wer": 0.1855332539547542,
1616
+ "step": 2208
1617
+ },
1618
+ {
1619
+ "epoch": 32.03,
1620
+ "learning_rate": 0.0001115820895522388,
1621
+ "loss": 0.5343,
1622
+ "step": 2210
1623
+ },
1624
+ {
1625
+ "epoch": 32.17,
1626
+ "learning_rate": 0.0001106865671641791,
1627
+ "loss": 0.2094,
1628
+ "step": 2220
1629
+ },
1630
+ {
1631
+ "epoch": 32.32,
1632
+ "learning_rate": 0.0001097910447761194,
1633
+ "loss": 0.4059,
1634
+ "step": 2230
1635
+ },
1636
+ {
1637
+ "epoch": 32.46,
1638
+ "learning_rate": 0.0001088955223880597,
1639
+ "loss": 0.3865,
1640
+ "step": 2240
1641
+ },
1642
+ {
1643
+ "epoch": 32.6,
1644
+ "learning_rate": 0.00010799999999999998,
1645
+ "loss": 0.2704,
1646
+ "step": 2250
1647
+ },
1648
+ {
1649
+ "epoch": 32.75,
1650
+ "learning_rate": 0.0001071044776119403,
1651
+ "loss": 0.5108,
1652
+ "step": 2260
1653
+ },
1654
+ {
1655
+ "epoch": 32.89,
1656
+ "learning_rate": 0.00010620895522388058,
1657
+ "loss": 0.1552,
1658
+ "step": 2270
1659
+ },
1660
+ {
1661
+ "epoch": 32.99,
1662
+ "eval_loss": 0.5248196721076965,
1663
+ "eval_runtime": 62.3014,
1664
+ "eval_samples_per_second": 9.021,
1665
+ "eval_steps_per_second": 2.263,
1666
+ "eval_wer": 0.19301751998639224,
1667
+ "step": 2277
1668
+ },
1669
+ {
1670
+ "epoch": 33.04,
1671
+ "learning_rate": 0.00010531343283582088,
1672
+ "loss": 0.5527,
1673
+ "step": 2280
1674
+ },
1675
+ {
1676
+ "epoch": 33.19,
1677
+ "learning_rate": 0.00010441791044776118,
1678
+ "loss": 0.2536,
1679
+ "step": 2290
1680
+ },
1681
+ {
1682
+ "epoch": 33.33,
1683
+ "learning_rate": 0.00010352238805970148,
1684
+ "loss": 0.3816,
1685
+ "step": 2300
1686
+ },
1687
+ {
1688
+ "epoch": 33.47,
1689
+ "learning_rate": 0.0001026268656716418,
1690
+ "loss": 0.3807,
1691
+ "step": 2310
1692
+ },
1693
+ {
1694
+ "epoch": 33.62,
1695
+ "learning_rate": 0.00010173134328358208,
1696
+ "loss": 0.1987,
1697
+ "step": 2320
1698
+ },
1699
+ {
1700
+ "epoch": 33.76,
1701
+ "learning_rate": 0.00010083582089552238,
1702
+ "loss": 0.4947,
1703
+ "step": 2330
1704
+ },
1705
+ {
1706
+ "epoch": 33.9,
1707
+ "learning_rate": 9.994029850746268e-05,
1708
+ "loss": 0.1682,
1709
+ "step": 2340
1710
+ },
1711
+ {
1712
+ "epoch": 33.99,
1713
+ "eval_loss": 0.5439924001693726,
1714
+ "eval_runtime": 61.6613,
1715
+ "eval_samples_per_second": 9.114,
1716
+ "eval_steps_per_second": 2.287,
1717
+ "eval_wer": 0.17830413335601292,
1718
+ "step": 2346
1719
+ },
1720
+ {
1721
+ "epoch": 34.06,
1722
+ "learning_rate": 9.904477611940298e-05,
1723
+ "loss": 0.4434,
1724
+ "step": 2350
1725
+ },
1726
+ {
1727
+ "epoch": 34.2,
1728
+ "learning_rate": 9.814925373134327e-05,
1729
+ "loss": 0.3305,
1730
+ "step": 2360
1731
+ },
1732
+ {
1733
+ "epoch": 34.34,
1734
+ "learning_rate": 9.725373134328358e-05,
1735
+ "loss": 0.3414,
1736
+ "step": 2370
1737
+ },
1738
+ {
1739
+ "epoch": 34.49,
1740
+ "learning_rate": 9.635820895522387e-05,
1741
+ "loss": 0.4277,
1742
+ "step": 2380
1743
+ },
1744
+ {
1745
+ "epoch": 34.63,
1746
+ "learning_rate": 9.546268656716417e-05,
1747
+ "loss": 0.1413,
1748
+ "step": 2390
1749
+ },
1750
+ {
1751
+ "epoch": 34.77,
1752
+ "learning_rate": 9.456716417910448e-05,
1753
+ "loss": 0.4671,
1754
+ "step": 2400
1755
+ },
1756
+ {
1757
+ "epoch": 34.92,
1758
+ "learning_rate": 9.367164179104477e-05,
1759
+ "loss": 0.2162,
1760
+ "step": 2410
1761
+ },
1762
+ {
1763
+ "epoch": 34.99,
1764
+ "eval_loss": 0.6078898906707764,
1765
+ "eval_runtime": 62.2539,
1766
+ "eval_samples_per_second": 9.028,
1767
+ "eval_steps_per_second": 2.265,
1768
+ "eval_wer": 0.1777513182514033,
1769
+ "step": 2415
1770
+ },
1771
+ {
1772
+ "epoch": 35.07,
1773
+ "learning_rate": 9.277611940298507e-05,
1774
+ "loss": 0.4317,
1775
+ "step": 2420
1776
+ },
1777
+ {
1778
+ "epoch": 35.22,
1779
+ "learning_rate": 9.188059701492537e-05,
1780
+ "loss": 0.3773,
1781
+ "step": 2430
1782
+ },
1783
+ {
1784
+ "epoch": 35.36,
1785
+ "learning_rate": 9.098507462686567e-05,
1786
+ "loss": 0.3438,
1787
+ "step": 2440
1788
+ },
1789
+ {
1790
+ "epoch": 35.5,
1791
+ "learning_rate": 9.008955223880595e-05,
1792
+ "loss": 0.5443,
1793
+ "step": 2450
1794
+ },
1795
+ {
1796
+ "epoch": 35.65,
1797
+ "learning_rate": 8.919402985074626e-05,
1798
+ "loss": 0.1763,
1799
+ "step": 2460
1800
+ },
1801
+ {
1802
+ "epoch": 35.79,
1803
+ "learning_rate": 8.829850746268655e-05,
1804
+ "loss": 0.4314,
1805
+ "step": 2470
1806
+ },
1807
+ {
1808
+ "epoch": 35.93,
1809
+ "learning_rate": 8.740298507462686e-05,
1810
+ "loss": 0.3041,
1811
+ "step": 2480
1812
+ },
1813
+ {
1814
+ "epoch": 35.99,
1815
+ "eval_loss": 0.5607585906982422,
1816
+ "eval_runtime": 62.5839,
1817
+ "eval_samples_per_second": 8.98,
1818
+ "eval_steps_per_second": 2.253,
1819
+ "eval_wer": 0.18344956625276407,
1820
+ "step": 2484
1821
+ },
1822
+ {
1823
+ "epoch": 36.09,
1824
+ "learning_rate": 8.650746268656716e-05,
1825
+ "loss": 0.3363,
1826
+ "step": 2490
1827
+ },
1828
+ {
1829
+ "epoch": 36.23,
1830
+ "learning_rate": 8.561194029850745e-05,
1831
+ "loss": 0.4153,
1832
+ "step": 2500
1833
+ },
1834
+ {
1835
+ "epoch": 36.37,
1836
+ "learning_rate": 8.471641791044776e-05,
1837
+ "loss": 0.2043,
1838
+ "step": 2510
1839
+ },
1840
+ {
1841
+ "epoch": 36.52,
1842
+ "learning_rate": 8.382089552238805e-05,
1843
+ "loss": 0.4476,
1844
+ "step": 2520
1845
+ },
1846
+ {
1847
+ "epoch": 36.66,
1848
+ "learning_rate": 8.292537313432835e-05,
1849
+ "loss": 0.1891,
1850
+ "step": 2530
1851
+ },
1852
+ {
1853
+ "epoch": 36.8,
1854
+ "learning_rate": 8.202985074626865e-05,
1855
+ "loss": 0.3683,
1856
+ "step": 2540
1857
+ },
1858
+ {
1859
+ "epoch": 36.95,
1860
+ "learning_rate": 8.113432835820895e-05,
1861
+ "loss": 0.3188,
1862
+ "step": 2550
1863
+ },
1864
+ {
1865
+ "epoch": 36.99,
1866
+ "eval_loss": 0.6039144396781921,
1867
+ "eval_runtime": 65.9812,
1868
+ "eval_samples_per_second": 8.518,
1869
+ "eval_steps_per_second": 2.137,
1870
+ "eval_wer": 0.20067188297329477,
1871
+ "step": 2553
1872
+ },
1873
+ {
1874
+ "epoch": 37.1,
1875
+ "learning_rate": 8.023880597014924e-05,
1876
+ "loss": 0.3105,
1877
+ "step": 2560
1878
+ },
1879
+ {
1880
+ "epoch": 37.24,
1881
+ "learning_rate": 7.934328358208955e-05,
1882
+ "loss": 0.5286,
1883
+ "step": 2570
1884
+ },
1885
+ {
1886
+ "epoch": 37.39,
1887
+ "learning_rate": 7.844776119402985e-05,
1888
+ "loss": 0.1466,
1889
+ "step": 2580
1890
+ },
1891
+ {
1892
+ "epoch": 37.53,
1893
+ "learning_rate": 7.755223880597013e-05,
1894
+ "loss": 0.4602,
1895
+ "step": 2590
1896
+ },
1897
+ {
1898
+ "epoch": 37.67,
1899
+ "learning_rate": 7.665671641791045e-05,
1900
+ "loss": 0.2189,
1901
+ "step": 2600
1902
+ },
1903
+ {
1904
+ "epoch": 37.82,
1905
+ "learning_rate": 7.576119402985073e-05,
1906
+ "loss": 0.488,
1907
+ "step": 2610
1908
+ },
1909
+ {
1910
+ "epoch": 37.96,
1911
+ "learning_rate": 7.486567164179105e-05,
1912
+ "loss": 0.3692,
1913
+ "step": 2620
1914
+ },
1915
+ {
1916
+ "epoch": 37.99,
1917
+ "eval_loss": 0.5436875820159912,
1918
+ "eval_runtime": 63.3533,
1919
+ "eval_samples_per_second": 8.871,
1920
+ "eval_steps_per_second": 2.226,
1921
+ "eval_wer": 0.1769008334750808,
1922
+ "step": 2622
1923
+ },
1924
+ {
1925
+ "epoch": 38.11,
1926
+ "learning_rate": 7.397014925373133e-05,
1927
+ "loss": 0.223,
1928
+ "step": 2630
1929
+ },
1930
+ {
1931
+ "epoch": 38.26,
1932
+ "learning_rate": 7.307462686567163e-05,
1933
+ "loss": 0.5086,
1934
+ "step": 2640
1935
+ },
1936
+ {
1937
+ "epoch": 38.4,
1938
+ "learning_rate": 7.217910447761193e-05,
1939
+ "loss": 0.129,
1940
+ "step": 2650
1941
+ },
1942
+ {
1943
+ "epoch": 38.54,
1944
+ "learning_rate": 7.128358208955223e-05,
1945
+ "loss": 0.3763,
1946
+ "step": 2660
1947
+ },
1948
+ {
1949
+ "epoch": 38.69,
1950
+ "learning_rate": 7.038805970149253e-05,
1951
+ "loss": 0.3218,
1952
+ "step": 2670
1953
+ },
1954
+ {
1955
+ "epoch": 38.83,
1956
+ "learning_rate": 6.949253731343283e-05,
1957
+ "loss": 0.3179,
1958
+ "step": 2680
1959
+ },
1960
+ {
1961
+ "epoch": 38.97,
1962
+ "learning_rate": 6.859701492537312e-05,
1963
+ "loss": 0.4446,
1964
+ "step": 2690
1965
+ },
1966
+ {
1967
+ "epoch": 38.99,
1968
+ "eval_loss": 0.6474555730819702,
1969
+ "eval_runtime": 61.8911,
1970
+ "eval_samples_per_second": 9.08,
1971
+ "eval_steps_per_second": 2.278,
1972
+ "eval_wer": 0.18812723252253785,
1973
+ "step": 2691
1974
+ },
1975
+ {
1976
+ "epoch": 39.13,
1977
+ "learning_rate": 6.770149253731342e-05,
1978
+ "loss": 0.1771,
1979
+ "step": 2700
1980
+ },
1981
+ {
1982
+ "epoch": 39.27,
1983
+ "learning_rate": 6.680597014925373e-05,
1984
+ "loss": 0.4132,
1985
+ "step": 2710
1986
+ },
1987
+ {
1988
+ "epoch": 39.42,
1989
+ "learning_rate": 6.591044776119403e-05,
1990
+ "loss": 0.1985,
1991
+ "step": 2720
1992
+ },
1993
+ {
1994
+ "epoch": 39.56,
1995
+ "learning_rate": 6.501492537313432e-05,
1996
+ "loss": 0.3993,
1997
+ "step": 2730
1998
+ },
1999
+ {
2000
+ "epoch": 39.7,
2001
+ "learning_rate": 6.411940298507462e-05,
2002
+ "loss": 0.3009,
2003
+ "step": 2740
2004
+ },
2005
+ {
2006
+ "epoch": 39.85,
2007
+ "learning_rate": 6.322388059701492e-05,
2008
+ "loss": 0.2899,
2009
+ "step": 2750
2010
+ },
2011
+ {
2012
+ "epoch": 39.99,
2013
+ "learning_rate": 6.232835820895522e-05,
2014
+ "loss": 0.386,
2015
+ "step": 2760
2016
+ },
2017
+ {
2018
+ "epoch": 39.99,
2019
+ "eval_loss": 0.6468256115913391,
2020
+ "eval_runtime": 62.0034,
2021
+ "eval_samples_per_second": 9.064,
2022
+ "eval_steps_per_second": 2.274,
2023
+ "eval_wer": 0.18944548392583774,
2024
+ "step": 2760
2025
+ },
2026
+ {
2027
+ "epoch": 40.14,
2028
+ "learning_rate": 6.143283582089552e-05,
2029
+ "loss": 0.1902,
2030
+ "step": 2770
2031
+ },
2032
+ {
2033
+ "epoch": 40.29,
2034
+ "learning_rate": 6.053731343283581e-05,
2035
+ "loss": 0.4626,
2036
+ "step": 2780
2037
+ },
2038
+ {
2039
+ "epoch": 40.43,
2040
+ "learning_rate": 5.964179104477611e-05,
2041
+ "loss": 0.1887,
2042
+ "step": 2790
2043
+ },
2044
+ {
2045
+ "epoch": 40.57,
2046
+ "learning_rate": 5.874626865671642e-05,
2047
+ "loss": 0.355,
2048
+ "step": 2800
2049
+ },
2050
+ {
2051
+ "epoch": 40.72,
2052
+ "learning_rate": 5.785074626865672e-05,
2053
+ "loss": 0.3404,
2054
+ "step": 2810
2055
+ },
2056
+ {
2057
+ "epoch": 40.86,
2058
+ "learning_rate": 5.695522388059701e-05,
2059
+ "loss": 0.1995,
2060
+ "step": 2820
2061
+ },
2062
+ {
2063
+ "epoch": 40.99,
2064
+ "eval_loss": 0.6397563815116882,
2065
+ "eval_runtime": 63.1605,
2066
+ "eval_samples_per_second": 8.898,
2067
+ "eval_steps_per_second": 2.232,
2068
+ "eval_wer": 0.190551114135057,
2069
+ "step": 2829
2070
+ },
2071
+ {
2072
+ "epoch": 41.01,
2073
+ "learning_rate": 5.605970149253731e-05,
2074
+ "loss": 0.4191,
2075
+ "step": 2830
2076
+ },
2077
+ {
2078
+ "epoch": 41.16,
2079
+ "learning_rate": 5.516417910447761e-05,
2080
+ "loss": 0.1451,
2081
+ "step": 2840
2082
+ },
2083
+ {
2084
+ "epoch": 41.3,
2085
+ "learning_rate": 5.42686567164179e-05,
2086
+ "loss": 0.4273,
2087
+ "step": 2850
2088
+ },
2089
+ {
2090
+ "epoch": 41.44,
2091
+ "learning_rate": 5.33731343283582e-05,
2092
+ "loss": 0.237,
2093
+ "step": 2860
2094
+ },
2095
+ {
2096
+ "epoch": 41.59,
2097
+ "learning_rate": 5.24776119402985e-05,
2098
+ "loss": 0.3044,
2099
+ "step": 2870
2100
+ },
2101
+ {
2102
+ "epoch": 41.73,
2103
+ "learning_rate": 5.1582089552238795e-05,
2104
+ "loss": 0.5847,
2105
+ "step": 2880
2106
+ },
2107
+ {
2108
+ "epoch": 41.87,
2109
+ "learning_rate": 5.06865671641791e-05,
2110
+ "loss": 0.1174,
2111
+ "step": 2890
2112
+ },
2113
+ {
2114
+ "epoch": 41.99,
2115
+ "eval_loss": 0.5986683368682861,
2116
+ "eval_runtime": 63.8251,
2117
+ "eval_samples_per_second": 8.805,
2118
+ "eval_steps_per_second": 2.209,
2119
+ "eval_wer": 0.193612859329818,
2120
+ "step": 2898
2121
+ },
2122
+ {
2123
+ "epoch": 42.03,
2124
+ "learning_rate": 4.97910447761194e-05,
2125
+ "loss": 0.5034,
2126
+ "step": 2900
2127
+ },
2128
+ {
2129
+ "epoch": 42.17,
2130
+ "learning_rate": 4.88955223880597e-05,
2131
+ "loss": 0.1607,
2132
+ "step": 2910
2133
+ },
2134
+ {
2135
+ "epoch": 42.32,
2136
+ "learning_rate": 4.7999999999999994e-05,
2137
+ "loss": 0.3704,
2138
+ "step": 2920
2139
+ },
2140
+ {
2141
+ "epoch": 42.46,
2142
+ "learning_rate": 4.7104477611940294e-05,
2143
+ "loss": 0.2891,
2144
+ "step": 2930
2145
+ },
2146
+ {
2147
+ "epoch": 42.6,
2148
+ "learning_rate": 4.6208955223880594e-05,
2149
+ "loss": 0.2184,
2150
+ "step": 2940
2151
+ },
2152
+ {
2153
+ "epoch": 42.75,
2154
+ "learning_rate": 4.531343283582089e-05,
2155
+ "loss": 0.441,
2156
+ "step": 2950
2157
+ },
2158
+ {
2159
+ "epoch": 42.89,
2160
+ "learning_rate": 4.441791044776119e-05,
2161
+ "loss": 0.1288,
2162
+ "step": 2960
2163
+ },
2164
+ {
2165
+ "epoch": 42.99,
2166
+ "eval_loss": 0.613288938999176,
2167
+ "eval_runtime": 62.2467,
2168
+ "eval_samples_per_second": 9.029,
2169
+ "eval_steps_per_second": 2.265,
2170
+ "eval_wer": 0.18710665079095085,
2171
+ "step": 2967
2172
+ },
2173
+ {
2174
+ "epoch": 43.04,
2175
+ "learning_rate": 4.352238805970149e-05,
2176
+ "loss": 0.5541,
2177
+ "step": 2970
2178
+ },
2179
+ {
2180
+ "epoch": 43.19,
2181
+ "learning_rate": 4.262686567164179e-05,
2182
+ "loss": 0.1988,
2183
+ "step": 2980
2184
+ },
2185
+ {
2186
+ "epoch": 43.33,
2187
+ "learning_rate": 4.1731343283582086e-05,
2188
+ "loss": 0.3245,
2189
+ "step": 2990
2190
+ },
2191
+ {
2192
+ "epoch": 43.47,
2193
+ "learning_rate": 4.0835820895522386e-05,
2194
+ "loss": 0.4007,
2195
+ "step": 3000
2196
+ },
2197
+ {
2198
+ "epoch": 43.62,
2199
+ "learning_rate": 3.9940298507462686e-05,
2200
+ "loss": 0.1796,
2201
+ "step": 3010
2202
+ },
2203
+ {
2204
+ "epoch": 43.76,
2205
+ "learning_rate": 3.904477611940298e-05,
2206
+ "loss": 0.3904,
2207
+ "step": 3020
2208
+ },
2209
+ {
2210
+ "epoch": 43.9,
2211
+ "learning_rate": 3.814925373134328e-05,
2212
+ "loss": 0.1857,
2213
+ "step": 3030
2214
+ },
2215
+ {
2216
+ "epoch": 43.99,
2217
+ "eval_loss": 0.6976124048233032,
2218
+ "eval_runtime": 63.6276,
2219
+ "eval_samples_per_second": 8.833,
2220
+ "eval_steps_per_second": 2.216,
2221
+ "eval_wer": 0.1995237285252594,
2222
+ "step": 3036
2223
+ },
2224
+ {
2225
+ "epoch": 44.06,
2226
+ "learning_rate": 3.725373134328358e-05,
2227
+ "loss": 0.4402,
2228
+ "step": 3040
2229
+ },
2230
+ {
2231
+ "epoch": 44.2,
2232
+ "learning_rate": 3.635820895522388e-05,
2233
+ "loss": 0.2266,
2234
+ "step": 3050
2235
+ },
2236
+ {
2237
+ "epoch": 44.34,
2238
+ "learning_rate": 3.546268656716418e-05,
2239
+ "loss": 0.2488,
2240
+ "step": 3060
2241
+ },
2242
+ {
2243
+ "epoch": 44.49,
2244
+ "learning_rate": 3.456716417910447e-05,
2245
+ "loss": 0.4742,
2246
+ "step": 3070
2247
+ },
2248
+ {
2249
+ "epoch": 44.63,
2250
+ "learning_rate": 3.367164179104477e-05,
2251
+ "loss": 0.1255,
2252
+ "step": 3080
2253
+ },
2254
+ {
2255
+ "epoch": 44.77,
2256
+ "learning_rate": 3.277611940298507e-05,
2257
+ "loss": 0.4457,
2258
+ "step": 3090
2259
+ },
2260
+ {
2261
+ "epoch": 44.92,
2262
+ "learning_rate": 3.188059701492537e-05,
2263
+ "loss": 0.2025,
2264
+ "step": 3100
2265
+ },
2266
+ {
2267
+ "epoch": 44.99,
2268
+ "eval_loss": 0.6356056928634644,
2269
+ "eval_runtime": 62.7237,
2270
+ "eval_samples_per_second": 8.96,
2271
+ "eval_steps_per_second": 2.248,
2272
+ "eval_wer": 0.19016839598571186,
2273
+ "step": 3105
2274
+ },
2275
+ {
2276
+ "epoch": 45.07,
2277
+ "learning_rate": 3.098507462686567e-05,
2278
+ "loss": 0.4657,
2279
+ "step": 3110
2280
+ },
2281
+ {
2282
+ "epoch": 45.22,
2283
+ "learning_rate": 3.0089552238805967e-05,
2284
+ "loss": 0.2643,
2285
+ "step": 3120
2286
+ },
2287
+ {
2288
+ "epoch": 45.36,
2289
+ "learning_rate": 2.9194029850746263e-05,
2290
+ "loss": 0.2344,
2291
+ "step": 3130
2292
+ },
2293
+ {
2294
+ "epoch": 45.5,
2295
+ "learning_rate": 2.8298507462686566e-05,
2296
+ "loss": 0.4605,
2297
+ "step": 3140
2298
+ },
2299
+ {
2300
+ "epoch": 45.65,
2301
+ "learning_rate": 2.7402985074626863e-05,
2302
+ "loss": 0.1217,
2303
+ "step": 3150
2304
+ },
2305
+ {
2306
+ "epoch": 45.79,
2307
+ "learning_rate": 2.6507462686567163e-05,
2308
+ "loss": 0.3799,
2309
+ "step": 3160
2310
+ },
2311
+ {
2312
+ "epoch": 45.93,
2313
+ "learning_rate": 2.561194029850746e-05,
2314
+ "loss": 0.2922,
2315
+ "step": 3170
2316
+ },
2317
+ {
2318
+ "epoch": 45.99,
2319
+ "eval_loss": 0.6324025392532349,
2320
+ "eval_runtime": 63.9125,
2321
+ "eval_samples_per_second": 8.793,
2322
+ "eval_steps_per_second": 2.206,
2323
+ "eval_wer": 0.20551964619833304,
2324
+ "step": 3174
2325
+ },
2326
+ {
2327
+ "epoch": 46.09,
2328
+ "learning_rate": 2.4716417910447762e-05,
2329
+ "loss": 0.3588,
2330
+ "step": 3180
2331
+ },
2332
+ {
2333
+ "epoch": 46.23,
2334
+ "learning_rate": 2.382089552238806e-05,
2335
+ "loss": 0.3345,
2336
+ "step": 3190
2337
+ },
2338
+ {
2339
+ "epoch": 46.37,
2340
+ "learning_rate": 2.2925373134328355e-05,
2341
+ "loss": 0.1835,
2342
+ "step": 3200
2343
+ },
2344
+ {
2345
+ "epoch": 46.52,
2346
+ "learning_rate": 2.2029850746268655e-05,
2347
+ "loss": 0.4099,
2348
+ "step": 3210
2349
+ },
2350
+ {
2351
+ "epoch": 46.66,
2352
+ "learning_rate": 2.113432835820895e-05,
2353
+ "loss": 0.1369,
2354
+ "step": 3220
2355
+ },
2356
+ {
2357
+ "epoch": 46.8,
2358
+ "learning_rate": 2.0238805970149254e-05,
2359
+ "loss": 0.3236,
2360
+ "step": 3230
2361
+ },
2362
+ {
2363
+ "epoch": 46.95,
2364
+ "learning_rate": 1.934328358208955e-05,
2365
+ "loss": 0.3575,
2366
+ "step": 3240
2367
+ },
2368
+ {
2369
+ "epoch": 46.99,
2370
+ "eval_loss": 0.6337515115737915,
2371
+ "eval_runtime": 62.7137,
2372
+ "eval_samples_per_second": 8.961,
2373
+ "eval_steps_per_second": 2.248,
2374
+ "eval_wer": 0.1862136417758122,
2375
+ "step": 3243
2376
+ },
2377
+ {
2378
+ "epoch": 47.1,
2379
+ "learning_rate": 1.844776119402985e-05,
2380
+ "loss": 0.3063,
2381
+ "step": 3250
2382
+ },
2383
+ {
2384
+ "epoch": 47.24,
2385
+ "learning_rate": 1.755223880597015e-05,
2386
+ "loss": 0.4116,
2387
+ "step": 3260
2388
+ },
2389
+ {
2390
+ "epoch": 47.39,
2391
+ "learning_rate": 1.6656716417910447e-05,
2392
+ "loss": 0.1219,
2393
+ "step": 3270
2394
+ },
2395
+ {
2396
+ "epoch": 47.53,
2397
+ "learning_rate": 1.5761194029850743e-05,
2398
+ "loss": 0.3642,
2399
+ "step": 3280
2400
+ },
2401
+ {
2402
+ "epoch": 47.67,
2403
+ "learning_rate": 1.4865671641791043e-05,
2404
+ "loss": 0.1964,
2405
+ "step": 3290
2406
+ },
2407
+ {
2408
+ "epoch": 47.82,
2409
+ "learning_rate": 1.3970149253731341e-05,
2410
+ "loss": 0.3214,
2411
+ "step": 3300
2412
+ },
2413
+ {
2414
+ "epoch": 47.96,
2415
+ "learning_rate": 1.3074626865671641e-05,
2416
+ "loss": 0.4019,
2417
+ "step": 3310
2418
+ },
2419
+ {
2420
+ "epoch": 47.99,
2421
+ "eval_loss": 0.6112991571426392,
2422
+ "eval_runtime": 62.2461,
2423
+ "eval_samples_per_second": 9.029,
2424
+ "eval_steps_per_second": 2.265,
2425
+ "eval_wer": 0.18982820207518286,
2426
+ "step": 3312
2427
+ },
2428
+ {
2429
+ "epoch": 48.11,
2430
+ "learning_rate": 1.2179104477611939e-05,
2431
+ "loss": 0.2532,
2432
+ "step": 3320
2433
+ },
2434
+ {
2435
+ "epoch": 48.26,
2436
+ "learning_rate": 1.1283582089552239e-05,
2437
+ "loss": 0.4152,
2438
+ "step": 3330
2439
+ },
2440
+ {
2441
+ "epoch": 48.4,
2442
+ "learning_rate": 1.0388059701492537e-05,
2443
+ "loss": 0.1089,
2444
+ "step": 3340
2445
+ },
2446
+ {
2447
+ "epoch": 48.54,
2448
+ "learning_rate": 9.492537313432837e-06,
2449
+ "loss": 0.3996,
2450
+ "step": 3350
2451
+ },
2452
+ {
2453
+ "epoch": 48.69,
2454
+ "learning_rate": 8.597014925373133e-06,
2455
+ "loss": 0.2793,
2456
+ "step": 3360
2457
+ },
2458
+ {
2459
+ "epoch": 48.83,
2460
+ "learning_rate": 7.701492537313433e-06,
2461
+ "loss": 0.3038,
2462
+ "step": 3370
2463
+ },
2464
+ {
2465
+ "epoch": 48.97,
2466
+ "learning_rate": 6.805970149253731e-06,
2467
+ "loss": 0.4211,
2468
+ "step": 3380
2469
+ },
2470
+ {
2471
+ "epoch": 48.99,
2472
+ "eval_loss": 0.6319797039031982,
2473
+ "eval_runtime": 61.9148,
2474
+ "eval_samples_per_second": 9.077,
2475
+ "eval_steps_per_second": 2.277,
2476
+ "eval_wer": 0.19476101377785338,
2477
+ "step": 3381
2478
+ },
2479
+ {
2480
+ "epoch": 49.13,
2481
+ "learning_rate": 5.91044776119403e-06,
2482
+ "loss": 0.1711,
2483
+ "step": 3390
2484
+ },
2485
+ {
2486
+ "epoch": 49.27,
2487
+ "learning_rate": 5.014925373134327e-06,
2488
+ "loss": 0.4138,
2489
+ "step": 3400
2490
+ },
2491
+ {
2492
+ "epoch": 49.42,
2493
+ "learning_rate": 4.119402985074627e-06,
2494
+ "loss": 0.143,
2495
+ "step": 3410
2496
+ },
2497
+ {
2498
+ "epoch": 49.56,
2499
+ "learning_rate": 3.2238805970149247e-06,
2500
+ "loss": 0.323,
2501
+ "step": 3420
2502
+ },
2503
+ {
2504
+ "epoch": 49.7,
2505
+ "learning_rate": 2.3283582089552237e-06,
2506
+ "loss": 0.2997,
2507
+ "step": 3430
2508
+ },
2509
+ {
2510
+ "epoch": 49.85,
2511
+ "learning_rate": 1.4328358208955222e-06,
2512
+ "loss": 0.2564,
2513
+ "step": 3440
2514
+ },
2515
+ {
2516
+ "epoch": 49.99,
2517
+ "learning_rate": 5.373134328358208e-07,
2518
+ "loss": 0.4323,
2519
+ "step": 3450
2520
+ },
2521
+ {
2522
+ "epoch": 49.99,
2523
+ "eval_loss": 0.6307477951049805,
2524
+ "eval_runtime": 61.2414,
2525
+ "eval_samples_per_second": 9.177,
2526
+ "eval_steps_per_second": 2.302,
2527
+ "eval_wer": 0.19165674434427624,
2528
+ "step": 3450
2529
+ },
2530
+ {
2531
+ "epoch": 49.99,
2532
+ "step": 3450,
2533
+ "total_flos": 8.202511043473552e+18,
2534
+ "train_loss": 1.0114854598390883,
2535
+ "train_runtime": 11573.519,
2536
+ "train_samples_per_second": 4.817,
2537
+ "train_steps_per_second": 0.298
2538
+ }
2539
+ ],
2540
+ "max_steps": 3450,
2541
+ "num_train_epochs": 50,
2542
+ "total_flos": 8.202511043473552e+18,
2543
+ "trial_name": null,
2544
+ "trial_params": null
2545
+ }