kavyamanohar commited on
Commit
61e0041
·
verified ·
1 Parent(s): e6d73fb

Fine-tune openai/whisper-tiny on processed data from multiple public data sources

Browse files
Files changed (3) hide show
  1. all_results.json +8 -0
  2. train_results.json +8 -0
  3. trainer_state.json +203 -0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 14.0424,
3
+ "total_flos": 9.8544473358336e+17,
4
+ "train_loss": 0.3740376678466797,
5
+ "train_runtime": 6491.8649,
6
+ "train_samples_per_second": 6.162,
7
+ "train_steps_per_second": 0.77
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 14.0424,
3
+ "total_flos": 9.8544473358336e+17,
4
+ "train_loss": 0.3740376678466797,
5
+ "train_runtime": 6491.8649,
6
+ "train_samples_per_second": 6.162,
7
+ "train_steps_per_second": 0.77
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,203 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 4000,
3
+ "best_metric": 78.72470876762722,
4
+ "best_model_checkpoint": "./whisper-tiny-ml/checkpoint-4000",
5
+ "epoch": 14.0424,
6
+ "eval_steps": 500,
7
+ "global_step": 5000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 1.0316,
14
+ "grad_norm": 12.401665687561035,
15
+ "learning_rate": 9.960000000000001e-06,
16
+ "loss": 1.4609,
17
+ "step": 500
18
+ },
19
+ {
20
+ "epoch": 1.0316,
21
+ "eval_loss": 1.120520830154419,
22
+ "eval_runtime": 565.3092,
23
+ "eval_samples_per_second": 0.665,
24
+ "eval_steps_per_second": 0.333,
25
+ "eval_wer": 132.1684038422236,
26
+ "step": 500
27
+ },
28
+ {
29
+ "epoch": 2.0632,
30
+ "grad_norm": 17.6810302734375,
31
+ "learning_rate": 8.895555555555556e-06,
32
+ "loss": 0.9694,
33
+ "step": 1000
34
+ },
35
+ {
36
+ "epoch": 2.0632,
37
+ "eval_loss": 0.7588837742805481,
38
+ "eval_runtime": 519.1847,
39
+ "eval_samples_per_second": 0.724,
40
+ "eval_steps_per_second": 0.362,
41
+ "eval_wer": 100.81749437972614,
42
+ "step": 1000
43
+ },
44
+ {
45
+ "epoch": 4.0264,
46
+ "grad_norm": 8.562993049621582,
47
+ "learning_rate": 7.784444444444445e-06,
48
+ "loss": 0.4373,
49
+ "step": 1500
50
+ },
51
+ {
52
+ "epoch": 4.0264,
53
+ "eval_loss": 0.24429242312908173,
54
+ "eval_runtime": 448.0414,
55
+ "eval_samples_per_second": 0.839,
56
+ "eval_steps_per_second": 0.42,
57
+ "eval_wer": 90.72143879010832,
58
+ "step": 1500
59
+ },
60
+ {
61
+ "epoch": 5.058,
62
+ "grad_norm": 7.884637832641602,
63
+ "learning_rate": 6.6733333333333335e-06,
64
+ "loss": 0.2336,
65
+ "step": 2000
66
+ },
67
+ {
68
+ "epoch": 5.058,
69
+ "eval_loss": 0.20778511464595795,
70
+ "eval_runtime": 418.3161,
71
+ "eval_samples_per_second": 0.899,
72
+ "eval_steps_per_second": 0.449,
73
+ "eval_wer": 84.0997343143266,
74
+ "step": 2000
75
+ },
76
+ {
77
+ "epoch": 7.0212,
78
+ "grad_norm": 5.552468299865723,
79
+ "learning_rate": 5.562222222222222e-06,
80
+ "loss": 0.1689,
81
+ "step": 2500
82
+ },
83
+ {
84
+ "epoch": 7.0212,
85
+ "eval_loss": 0.19417865574359894,
86
+ "eval_runtime": 385.7038,
87
+ "eval_samples_per_second": 0.975,
88
+ "eval_steps_per_second": 0.487,
89
+ "eval_wer": 79.97138769670958,
90
+ "step": 2500
91
+ },
92
+ {
93
+ "epoch": 8.0528,
94
+ "grad_norm": 6.440951824188232,
95
+ "learning_rate": 4.451111111111112e-06,
96
+ "loss": 0.1322,
97
+ "step": 3000
98
+ },
99
+ {
100
+ "epoch": 8.0528,
101
+ "eval_loss": 0.19918522238731384,
102
+ "eval_runtime": 398.4291,
103
+ "eval_samples_per_second": 0.944,
104
+ "eval_steps_per_second": 0.472,
105
+ "eval_wer": 79.74657674228489,
106
+ "step": 3000
107
+ },
108
+ {
109
+ "epoch": 10.016,
110
+ "grad_norm": 11.55614185333252,
111
+ "learning_rate": 3.3400000000000006e-06,
112
+ "loss": 0.1063,
113
+ "step": 3500
114
+ },
115
+ {
116
+ "epoch": 10.016,
117
+ "eval_loss": 0.20443612337112427,
118
+ "eval_runtime": 419.5788,
119
+ "eval_samples_per_second": 0.896,
120
+ "eval_steps_per_second": 0.448,
121
+ "eval_wer": 80.42100960555896,
122
+ "step": 3500
123
+ },
124
+ {
125
+ "epoch": 11.0476,
126
+ "grad_norm": 4.469738006591797,
127
+ "learning_rate": 2.228888888888889e-06,
128
+ "loss": 0.0892,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 11.0476,
133
+ "eval_loss": 0.2040003538131714,
134
+ "eval_runtime": 414.9544,
135
+ "eval_samples_per_second": 0.906,
136
+ "eval_steps_per_second": 0.453,
137
+ "eval_wer": 78.72470876762722,
138
+ "step": 4000
139
+ },
140
+ {
141
+ "epoch": 13.0108,
142
+ "grad_norm": 3.349318027496338,
143
+ "learning_rate": 1.117777777777778e-06,
144
+ "loss": 0.0755,
145
+ "step": 4500
146
+ },
147
+ {
148
+ "epoch": 13.0108,
149
+ "eval_loss": 0.21057051420211792,
150
+ "eval_runtime": 413.9902,
151
+ "eval_samples_per_second": 0.908,
152
+ "eval_steps_per_second": 0.454,
153
+ "eval_wer": 79.99182505620274,
154
+ "step": 4500
155
+ },
156
+ {
157
+ "epoch": 14.0424,
158
+ "grad_norm": 7.616532802581787,
159
+ "learning_rate": 6.666666666666667e-09,
160
+ "loss": 0.0672,
161
+ "step": 5000
162
+ },
163
+ {
164
+ "epoch": 14.0424,
165
+ "eval_loss": 0.20920291543006897,
166
+ "eval_runtime": 407.6184,
167
+ "eval_samples_per_second": 0.922,
168
+ "eval_steps_per_second": 0.461,
169
+ "eval_wer": 79.88963825873697,
170
+ "step": 5000
171
+ },
172
+ {
173
+ "epoch": 14.0424,
174
+ "step": 5000,
175
+ "total_flos": 9.8544473358336e+17,
176
+ "train_loss": 0.3740376678466797,
177
+ "train_runtime": 6491.8649,
178
+ "train_samples_per_second": 6.162,
179
+ "train_steps_per_second": 0.77
180
+ }
181
+ ],
182
+ "logging_steps": 500,
183
+ "max_steps": 5000,
184
+ "num_input_tokens_seen": 0,
185
+ "num_train_epochs": 9223372036854775807,
186
+ "save_steps": 500,
187
+ "stateful_callbacks": {
188
+ "TrainerControl": {
189
+ "args": {
190
+ "should_epoch_stop": false,
191
+ "should_evaluate": false,
192
+ "should_log": false,
193
+ "should_save": true,
194
+ "should_training_stop": true
195
+ },
196
+ "attributes": {}
197
+ }
198
+ },
199
+ "total_flos": 9.8544473358336e+17,
200
+ "train_batch_size": 2,
201
+ "trial_name": null,
202
+ "trial_params": null
203
+ }