End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- train_results.json +8 -0
- trainer_state.json +187 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"eval_loss": 0.38048940896987915,
|
4 |
+
"eval_runtime": 68.4332,
|
5 |
+
"eval_samples": 1647,
|
6 |
+
"eval_samples_per_second": 24.067,
|
7 |
+
"eval_steps_per_second": 3.01,
|
8 |
+
"eval_wer": 0.33888264732917983,
|
9 |
+
"train_loss": 1.0770871532801825,
|
10 |
+
"train_runtime": 3832.0305,
|
11 |
+
"train_samples": 3478,
|
12 |
+
"train_samples_per_second": 13.614,
|
13 |
+
"train_steps_per_second": 0.427
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"eval_loss": 0.38048940896987915,
|
4 |
+
"eval_runtime": 68.4332,
|
5 |
+
"eval_samples": 1647,
|
6 |
+
"eval_samples_per_second": 24.067,
|
7 |
+
"eval_steps_per_second": 3.01,
|
8 |
+
"eval_wer": 0.33888264732917983
|
9 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"train_loss": 1.0770871532801825,
|
4 |
+
"train_runtime": 3832.0305,
|
5 |
+
"train_samples": 3478,
|
6 |
+
"train_samples_per_second": 13.614,
|
7 |
+
"train_steps_per_second": 0.427
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,187 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 15.0,
|
5 |
+
"global_step": 1635,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.92,
|
12 |
+
"eval_loss": 3.6031575202941895,
|
13 |
+
"eval_runtime": 71.2961,
|
14 |
+
"eval_samples_per_second": 23.101,
|
15 |
+
"eval_steps_per_second": 2.889,
|
16 |
+
"eval_wer": 1.0,
|
17 |
+
"step": 100
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 1.83,
|
21 |
+
"eval_loss": 3.015834331512451,
|
22 |
+
"eval_runtime": 69.71,
|
23 |
+
"eval_samples_per_second": 23.626,
|
24 |
+
"eval_steps_per_second": 2.955,
|
25 |
+
"eval_wer": 0.9998978653865795,
|
26 |
+
"step": 200
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.75,
|
30 |
+
"eval_loss": 0.9691545367240906,
|
31 |
+
"eval_runtime": 69.4092,
|
32 |
+
"eval_samples_per_second": 23.729,
|
33 |
+
"eval_steps_per_second": 2.968,
|
34 |
+
"eval_wer": 0.8028801960984577,
|
35 |
+
"step": 300
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 3.67,
|
39 |
+
"eval_loss": 0.5820251703262329,
|
40 |
+
"eval_runtime": 69.8188,
|
41 |
+
"eval_samples_per_second": 23.59,
|
42 |
+
"eval_steps_per_second": 2.95,
|
43 |
+
"eval_wer": 0.6160759881523848,
|
44 |
+
"step": 400
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 4.59,
|
48 |
+
"learning_rate": 0.0002988,
|
49 |
+
"loss": 3.1812,
|
50 |
+
"step": 500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 4.59,
|
54 |
+
"eval_loss": 0.4890775978565216,
|
55 |
+
"eval_runtime": 69.3063,
|
56 |
+
"eval_samples_per_second": 23.764,
|
57 |
+
"eval_steps_per_second": 2.972,
|
58 |
+
"eval_wer": 0.5095495863548156,
|
59 |
+
"step": 500
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 5.5,
|
63 |
+
"eval_loss": 0.47190332412719727,
|
64 |
+
"eval_runtime": 69.6259,
|
65 |
+
"eval_samples_per_second": 23.655,
|
66 |
+
"eval_steps_per_second": 2.959,
|
67 |
+
"eval_wer": 0.4853436829741599,
|
68 |
+
"step": 600
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 6.42,
|
72 |
+
"eval_loss": 0.4359598457813263,
|
73 |
+
"eval_runtime": 69.3092,
|
74 |
+
"eval_samples_per_second": 23.763,
|
75 |
+
"eval_steps_per_second": 2.972,
|
76 |
+
"eval_wer": 0.4538862220406496,
|
77 |
+
"step": 700
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 7.34,
|
81 |
+
"eval_loss": 0.4098358154296875,
|
82 |
+
"eval_runtime": 69.3406,
|
83 |
+
"eval_samples_per_second": 23.752,
|
84 |
+
"eval_steps_per_second": 2.971,
|
85 |
+
"eval_wer": 0.42825043407210706,
|
86 |
+
"step": 800
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 8.26,
|
90 |
+
"eval_loss": 0.4020206034183502,
|
91 |
+
"eval_runtime": 70.6229,
|
92 |
+
"eval_samples_per_second": 23.321,
|
93 |
+
"eval_steps_per_second": 2.917,
|
94 |
+
"eval_wer": 0.3993463384741089,
|
95 |
+
"step": 900
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 9.17,
|
99 |
+
"learning_rate": 0.00016837004405286342,
|
100 |
+
"loss": 0.2212,
|
101 |
+
"step": 1000
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 9.17,
|
105 |
+
"eval_loss": 0.4000774919986725,
|
106 |
+
"eval_runtime": 68.5561,
|
107 |
+
"eval_samples_per_second": 24.024,
|
108 |
+
"eval_steps_per_second": 3.005,
|
109 |
+
"eval_wer": 0.3805535696047391,
|
110 |
+
"step": 1000
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 10.09,
|
114 |
+
"eval_loss": 0.3999648094177246,
|
115 |
+
"eval_runtime": 68.8568,
|
116 |
+
"eval_samples_per_second": 23.919,
|
117 |
+
"eval_steps_per_second": 2.992,
|
118 |
+
"eval_wer": 0.3872944540904913,
|
119 |
+
"step": 1100
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 11.01,
|
123 |
+
"eval_loss": 0.40702080726623535,
|
124 |
+
"eval_runtime": 68.6579,
|
125 |
+
"eval_samples_per_second": 23.989,
|
126 |
+
"eval_steps_per_second": 3.0,
|
127 |
+
"eval_wer": 0.3751404350934532,
|
128 |
+
"step": 1200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 11.93,
|
132 |
+
"eval_loss": 0.3874248266220093,
|
133 |
+
"eval_runtime": 69.3466,
|
134 |
+
"eval_samples_per_second": 23.75,
|
135 |
+
"eval_steps_per_second": 2.971,
|
136 |
+
"eval_wer": 0.3551220508630375,
|
137 |
+
"step": 1300
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 12.84,
|
141 |
+
"eval_loss": 0.39125174283981323,
|
142 |
+
"eval_runtime": 70.1419,
|
143 |
+
"eval_samples_per_second": 23.481,
|
144 |
+
"eval_steps_per_second": 2.937,
|
145 |
+
"eval_wer": 0.35614339699724235,
|
146 |
+
"step": 1400
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 13.76,
|
150 |
+
"learning_rate": 3.621145374449339e-05,
|
151 |
+
"loss": 0.0998,
|
152 |
+
"step": 1500
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 13.76,
|
156 |
+
"eval_loss": 0.3882182836532593,
|
157 |
+
"eval_runtime": 70.0328,
|
158 |
+
"eval_samples_per_second": 23.518,
|
159 |
+
"eval_steps_per_second": 2.941,
|
160 |
+
"eval_wer": 0.34919824328464916,
|
161 |
+
"step": 1500
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 14.68,
|
165 |
+
"eval_loss": 0.3794955015182495,
|
166 |
+
"eval_runtime": 69.1922,
|
167 |
+
"eval_samples_per_second": 23.803,
|
168 |
+
"eval_steps_per_second": 2.977,
|
169 |
+
"eval_wer": 0.3403125319170667,
|
170 |
+
"step": 1600
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 15.0,
|
174 |
+
"step": 1635,
|
175 |
+
"total_flos": 6.464559143942451e+18,
|
176 |
+
"train_loss": 1.0770871532801825,
|
177 |
+
"train_runtime": 3832.0305,
|
178 |
+
"train_samples_per_second": 13.614,
|
179 |
+
"train_steps_per_second": 0.427
|
180 |
+
}
|
181 |
+
],
|
182 |
+
"max_steps": 1635,
|
183 |
+
"num_train_epochs": 15,
|
184 |
+
"total_flos": 6.464559143942451e+18,
|
185 |
+
"trial_name": null,
|
186 |
+
"trial_params": null
|
187 |
+
}
|