sgangireddy commited on
Commit
a4fb87e
1 Parent(s): 6920d9d

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.05,
3
+ "eval_loss": 0.26113396883010864,
4
+ "eval_runtime": 1556.7244,
5
+ "eval_samples_per_second": 6.516,
6
+ "eval_steps_per_second": 0.204,
7
+ "eval_wer": 17.210750075918614,
8
+ "train_loss": 0.20262496268749236,
9
+ "train_runtime": 8345.5759,
10
+ "train_samples_per_second": 7.669,
11
+ "train_steps_per_second": 0.12
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.05,
3
+ "eval_loss": 0.26113396883010864,
4
+ "eval_runtime": 1556.7244,
5
+ "eval_samples_per_second": 6.516,
6
+ "eval_steps_per_second": 0.204,
7
+ "eval_wer": 17.210750075918614
8
+ }
runs/Dec06_18-25-32_129-146-179-242/events.out.tfevents.1670361125.129-146-179-242.92466.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:17d29f201276061d16d2c356639057b7c515514ce734c04f60da498aa0bbe6b6
3
+ size 358
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.05,
3
+ "train_loss": 0.20262496268749236,
4
+ "train_runtime": 8345.5759,
5
+ "train_samples_per_second": 7.669,
6
+ "train_steps_per_second": 0.12
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,274 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.049,
5
+ "global_step": 1000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 4.2000000000000006e-07,
13
+ "loss": 1.1399,
14
+ "step": 25
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 9.200000000000001e-07,
19
+ "loss": 1.0896,
20
+ "step": 50
21
+ },
22
+ {
23
+ "epoch": 0.07,
24
+ "learning_rate": 1.42e-06,
25
+ "loss": 0.5087,
26
+ "step": 75
27
+ },
28
+ {
29
+ "epoch": 0.1,
30
+ "learning_rate": 1.9200000000000003e-06,
31
+ "loss": 0.3005,
32
+ "step": 100
33
+ },
34
+ {
35
+ "epoch": 0.12,
36
+ "learning_rate": 2.42e-06,
37
+ "loss": 0.2431,
38
+ "step": 125
39
+ },
40
+ {
41
+ "epoch": 0.15,
42
+ "learning_rate": 2.92e-06,
43
+ "loss": 0.2133,
44
+ "step": 150
45
+ },
46
+ {
47
+ "epoch": 0.17,
48
+ "learning_rate": 3.4200000000000007e-06,
49
+ "loss": 0.2139,
50
+ "step": 175
51
+ },
52
+ {
53
+ "epoch": 0.2,
54
+ "learning_rate": 3.920000000000001e-06,
55
+ "loss": 0.2167,
56
+ "step": 200
57
+ },
58
+ {
59
+ "epoch": 0.23,
60
+ "learning_rate": 4.42e-06,
61
+ "loss": 0.2431,
62
+ "step": 225
63
+ },
64
+ {
65
+ "epoch": 0.25,
66
+ "learning_rate": 4.92e-06,
67
+ "loss": 0.2238,
68
+ "step": 250
69
+ },
70
+ {
71
+ "epoch": 0.28,
72
+ "learning_rate": 5.420000000000001e-06,
73
+ "loss": 0.2326,
74
+ "step": 275
75
+ },
76
+ {
77
+ "epoch": 0.3,
78
+ "learning_rate": 5.92e-06,
79
+ "loss": 0.191,
80
+ "step": 300
81
+ },
82
+ {
83
+ "epoch": 1.01,
84
+ "learning_rate": 6.42e-06,
85
+ "loss": 0.2003,
86
+ "step": 325
87
+ },
88
+ {
89
+ "epoch": 1.03,
90
+ "learning_rate": 6.92e-06,
91
+ "loss": 0.227,
92
+ "step": 350
93
+ },
94
+ {
95
+ "epoch": 1.06,
96
+ "learning_rate": 7.420000000000001e-06,
97
+ "loss": 0.2297,
98
+ "step": 375
99
+ },
100
+ {
101
+ "epoch": 1.08,
102
+ "learning_rate": 7.92e-06,
103
+ "loss": 0.1586,
104
+ "step": 400
105
+ },
106
+ {
107
+ "epoch": 1.11,
108
+ "learning_rate": 8.42e-06,
109
+ "loss": 0.1579,
110
+ "step": 425
111
+ },
112
+ {
113
+ "epoch": 1.13,
114
+ "learning_rate": 8.920000000000001e-06,
115
+ "loss": 0.1501,
116
+ "step": 450
117
+ },
118
+ {
119
+ "epoch": 1.16,
120
+ "learning_rate": 9.42e-06,
121
+ "loss": 0.1332,
122
+ "step": 475
123
+ },
124
+ {
125
+ "epoch": 1.18,
126
+ "learning_rate": 9.920000000000002e-06,
127
+ "loss": 0.1359,
128
+ "step": 500
129
+ },
130
+ {
131
+ "epoch": 1.21,
132
+ "learning_rate": 9.58e-06,
133
+ "loss": 0.1483,
134
+ "step": 525
135
+ },
136
+ {
137
+ "epoch": 1.23,
138
+ "learning_rate": 9.080000000000001e-06,
139
+ "loss": 0.1512,
140
+ "step": 550
141
+ },
142
+ {
143
+ "epoch": 1.26,
144
+ "learning_rate": 8.580000000000001e-06,
145
+ "loss": 0.1344,
146
+ "step": 575
147
+ },
148
+ {
149
+ "epoch": 1.28,
150
+ "learning_rate": 8.08e-06,
151
+ "loss": 0.1335,
152
+ "step": 600
153
+ },
154
+ {
155
+ "epoch": 1.31,
156
+ "learning_rate": 7.58e-06,
157
+ "loss": 0.1112,
158
+ "step": 625
159
+ },
160
+ {
161
+ "epoch": 2.02,
162
+ "learning_rate": 7.08e-06,
163
+ "loss": 0.1223,
164
+ "step": 650
165
+ },
166
+ {
167
+ "epoch": 2.04,
168
+ "learning_rate": 6.5800000000000005e-06,
169
+ "loss": 0.1303,
170
+ "step": 675
171
+ },
172
+ {
173
+ "epoch": 2.07,
174
+ "learning_rate": 6.08e-06,
175
+ "loss": 0.1094,
176
+ "step": 700
177
+ },
178
+ {
179
+ "epoch": 2.09,
180
+ "learning_rate": 5.580000000000001e-06,
181
+ "loss": 0.0896,
182
+ "step": 725
183
+ },
184
+ {
185
+ "epoch": 2.12,
186
+ "learning_rate": 5.0800000000000005e-06,
187
+ "loss": 0.0829,
188
+ "step": 750
189
+ },
190
+ {
191
+ "epoch": 2.14,
192
+ "learning_rate": 4.58e-06,
193
+ "loss": 0.0717,
194
+ "step": 775
195
+ },
196
+ {
197
+ "epoch": 2.17,
198
+ "learning_rate": 4.08e-06,
199
+ "loss": 0.0709,
200
+ "step": 800
201
+ },
202
+ {
203
+ "epoch": 2.19,
204
+ "learning_rate": 3.58e-06,
205
+ "loss": 0.0716,
206
+ "step": 825
207
+ },
208
+ {
209
+ "epoch": 2.22,
210
+ "learning_rate": 3.08e-06,
211
+ "loss": 0.0762,
212
+ "step": 850
213
+ },
214
+ {
215
+ "epoch": 2.24,
216
+ "learning_rate": 2.5800000000000003e-06,
217
+ "loss": 0.0686,
218
+ "step": 875
219
+ },
220
+ {
221
+ "epoch": 2.27,
222
+ "learning_rate": 2.08e-06,
223
+ "loss": 0.0628,
224
+ "step": 900
225
+ },
226
+ {
227
+ "epoch": 2.29,
228
+ "learning_rate": 1.5800000000000001e-06,
229
+ "loss": 0.0648,
230
+ "step": 925
231
+ },
232
+ {
233
+ "epoch": 2.32,
234
+ "learning_rate": 1.08e-06,
235
+ "loss": 0.0575,
236
+ "step": 950
237
+ },
238
+ {
239
+ "epoch": 3.02,
240
+ "learning_rate": 5.800000000000001e-07,
241
+ "loss": 0.0696,
242
+ "step": 975
243
+ },
244
+ {
245
+ "epoch": 3.05,
246
+ "learning_rate": 8e-08,
247
+ "loss": 0.0693,
248
+ "step": 1000
249
+ },
250
+ {
251
+ "epoch": 3.05,
252
+ "eval_loss": 0.26113396883010864,
253
+ "eval_runtime": 1552.6312,
254
+ "eval_samples_per_second": 6.533,
255
+ "eval_steps_per_second": 0.204,
256
+ "eval_wer": 17.210750075918614,
257
+ "step": 1000
258
+ },
259
+ {
260
+ "epoch": 3.05,
261
+ "step": 1000,
262
+ "total_flos": 1.844002990964736e+19,
263
+ "train_loss": 0.20262496268749236,
264
+ "train_runtime": 8345.5759,
265
+ "train_samples_per_second": 7.669,
266
+ "train_steps_per_second": 0.12
267
+ }
268
+ ],
269
+ "max_steps": 1000,
270
+ "num_train_epochs": 9223372036854775807,
271
+ "total_flos": 1.844002990964736e+19,
272
+ "trial_name": null,
273
+ "trial_params": null
274
+ }