anuragshas
commited on
Commit
·
3db4946
1
Parent(s):
3606b39
End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- train_results.json +8 -0
- trainer_state.json +664 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"eval_loss": 0.1659538894891739,
|
4 |
+
"eval_runtime": 68.9631,
|
5 |
+
"eval_samples": 2148,
|
6 |
+
"eval_samples_per_second": 31.147,
|
7 |
+
"eval_steps_per_second": 1.958,
|
8 |
+
"eval_wer": 0.1704645476772616,
|
9 |
+
"train_loss": 1.4054935827010717,
|
10 |
+
"train_runtime": 11681.5311,
|
11 |
+
"train_samples": 4963,
|
12 |
+
"train_samples_per_second": 21.243,
|
13 |
+
"train_steps_per_second": 0.668
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"eval_loss": 0.1659538894891739,
|
4 |
+
"eval_runtime": 68.9631,
|
5 |
+
"eval_samples": 2148,
|
6 |
+
"eval_samples_per_second": 31.147,
|
7 |
+
"eval_steps_per_second": 1.958,
|
8 |
+
"eval_wer": 0.1704645476772616
|
9 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"train_loss": 1.4054935827010717,
|
4 |
+
"train_runtime": 11681.5311,
|
5 |
+
"train_samples": 4963,
|
6 |
+
"train_samples_per_second": 21.243,
|
7 |
+
"train_steps_per_second": 0.668
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,664 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 50.0,
|
5 |
+
"global_step": 7800,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.64,
|
12 |
+
"learning_rate": 7.275e-06,
|
13 |
+
"loss": 16.819,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.28,
|
18 |
+
"learning_rate": 1.4775e-05,
|
19 |
+
"loss": 6.1908,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 1.92,
|
24 |
+
"learning_rate": 2.2274999999999996e-05,
|
25 |
+
"loss": 4.1987,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.56,
|
30 |
+
"learning_rate": 2.9775e-05,
|
31 |
+
"loss": 3.489,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 2.56,
|
36 |
+
"eval_loss": 3.3590216636657715,
|
37 |
+
"eval_runtime": 66.6533,
|
38 |
+
"eval_samples_per_second": 32.226,
|
39 |
+
"eval_steps_per_second": 2.025,
|
40 |
+
"eval_wer": 1.0,
|
41 |
+
"step": 400
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 3.21,
|
45 |
+
"learning_rate": 3.7275e-05,
|
46 |
+
"loss": 3.2231,
|
47 |
+
"step": 500
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 3.85,
|
51 |
+
"learning_rate": 4.4775e-05,
|
52 |
+
"loss": 3.1038,
|
53 |
+
"step": 600
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 4.49,
|
57 |
+
"learning_rate": 5.227499999999999e-05,
|
58 |
+
"loss": 3.0217,
|
59 |
+
"step": 700
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 5.13,
|
63 |
+
"learning_rate": 5.9774999999999996e-05,
|
64 |
+
"loss": 2.9903,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 5.13,
|
69 |
+
"eval_loss": 2.970390796661377,
|
70 |
+
"eval_runtime": 66.5925,
|
71 |
+
"eval_samples_per_second": 32.256,
|
72 |
+
"eval_steps_per_second": 2.027,
|
73 |
+
"eval_wer": 1.0000977995110025,
|
74 |
+
"step": 800
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 5.77,
|
78 |
+
"learning_rate": 6.7275e-05,
|
79 |
+
"loss": 2.906,
|
80 |
+
"step": 900
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 6.41,
|
84 |
+
"learning_rate": 7.477499999999999e-05,
|
85 |
+
"loss": 2.5346,
|
86 |
+
"step": 1000
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 7.05,
|
90 |
+
"learning_rate": 7.393014705882353e-05,
|
91 |
+
"loss": 1.8923,
|
92 |
+
"step": 1100
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 7.69,
|
96 |
+
"learning_rate": 7.282720588235294e-05,
|
97 |
+
"loss": 1.6712,
|
98 |
+
"step": 1200
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 7.69,
|
102 |
+
"eval_loss": 0.6178616285324097,
|
103 |
+
"eval_runtime": 66.5699,
|
104 |
+
"eval_samples_per_second": 32.267,
|
105 |
+
"eval_steps_per_second": 2.028,
|
106 |
+
"eval_wer": 0.6566259168704156,
|
107 |
+
"step": 1200
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 8.33,
|
111 |
+
"learning_rate": 7.172426470588234e-05,
|
112 |
+
"loss": 1.5317,
|
113 |
+
"step": 1300
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 8.97,
|
117 |
+
"learning_rate": 7.062132352941176e-05,
|
118 |
+
"loss": 1.4151,
|
119 |
+
"step": 1400
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 9.62,
|
123 |
+
"learning_rate": 6.951838235294117e-05,
|
124 |
+
"loss": 1.3153,
|
125 |
+
"step": 1500
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 10.26,
|
129 |
+
"learning_rate": 6.841544117647059e-05,
|
130 |
+
"loss": 1.2635,
|
131 |
+
"step": 1600
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 10.26,
|
135 |
+
"eval_loss": 0.31762251257896423,
|
136 |
+
"eval_runtime": 67.311,
|
137 |
+
"eval_samples_per_second": 31.912,
|
138 |
+
"eval_steps_per_second": 2.006,
|
139 |
+
"eval_wer": 0.45310513447432765,
|
140 |
+
"step": 1600
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 10.9,
|
144 |
+
"learning_rate": 6.731249999999999e-05,
|
145 |
+
"loss": 1.1929,
|
146 |
+
"step": 1700
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 11.54,
|
150 |
+
"learning_rate": 6.62095588235294e-05,
|
151 |
+
"loss": 1.166,
|
152 |
+
"step": 1800
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 12.18,
|
156 |
+
"learning_rate": 6.510661764705882e-05,
|
157 |
+
"loss": 1.0971,
|
158 |
+
"step": 1900
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 12.82,
|
162 |
+
"learning_rate": 6.400367647058824e-05,
|
163 |
+
"loss": 1.0819,
|
164 |
+
"step": 2000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 12.82,
|
168 |
+
"eval_loss": 0.2516830265522003,
|
169 |
+
"eval_runtime": 66.7082,
|
170 |
+
"eval_samples_per_second": 32.2,
|
171 |
+
"eval_steps_per_second": 2.024,
|
172 |
+
"eval_wer": 0.35080684596577016,
|
173 |
+
"step": 2000
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 13.46,
|
177 |
+
"learning_rate": 6.290073529411764e-05,
|
178 |
+
"loss": 1.0892,
|
179 |
+
"step": 2100
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 14.1,
|
183 |
+
"learning_rate": 6.179779411764705e-05,
|
184 |
+
"loss": 1.0534,
|
185 |
+
"step": 2200
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 14.74,
|
189 |
+
"learning_rate": 6.069485294117646e-05,
|
190 |
+
"loss": 1.012,
|
191 |
+
"step": 2300
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 15.38,
|
195 |
+
"learning_rate": 5.9591911764705876e-05,
|
196 |
+
"loss": 1.0136,
|
197 |
+
"step": 2400
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 15.38,
|
201 |
+
"eval_loss": 0.22566433250904083,
|
202 |
+
"eval_runtime": 66.3228,
|
203 |
+
"eval_samples_per_second": 32.387,
|
204 |
+
"eval_steps_per_second": 2.036,
|
205 |
+
"eval_wer": 0.3123716381418093,
|
206 |
+
"step": 2400
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 16.03,
|
210 |
+
"learning_rate": 5.848897058823529e-05,
|
211 |
+
"loss": 0.9991,
|
212 |
+
"step": 2500
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 16.67,
|
216 |
+
"learning_rate": 5.73860294117647e-05,
|
217 |
+
"loss": 0.9722,
|
218 |
+
"step": 2600
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 17.31,
|
222 |
+
"learning_rate": 5.6283088235294115e-05,
|
223 |
+
"loss": 0.9794,
|
224 |
+
"step": 2700
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 17.95,
|
228 |
+
"learning_rate": 5.5180147058823523e-05,
|
229 |
+
"loss": 0.9625,
|
230 |
+
"step": 2800
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 17.95,
|
234 |
+
"eval_loss": 0.19747723639011383,
|
235 |
+
"eval_runtime": 67.1687,
|
236 |
+
"eval_samples_per_second": 31.979,
|
237 |
+
"eval_steps_per_second": 2.01,
|
238 |
+
"eval_wer": 0.2311002444987775,
|
239 |
+
"step": 2800
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 18.59,
|
243 |
+
"learning_rate": 5.407720588235294e-05,
|
244 |
+
"loss": 0.9505,
|
245 |
+
"step": 2900
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 19.23,
|
249 |
+
"learning_rate": 5.297426470588235e-05,
|
250 |
+
"loss": 0.9337,
|
251 |
+
"step": 3000
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 19.87,
|
255 |
+
"learning_rate": 5.187132352941176e-05,
|
256 |
+
"loss": 0.936,
|
257 |
+
"step": 3100
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 20.51,
|
261 |
+
"learning_rate": 5.076838235294117e-05,
|
262 |
+
"loss": 0.901,
|
263 |
+
"step": 3200
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 20.51,
|
267 |
+
"eval_loss": 0.19860759377479553,
|
268 |
+
"eval_runtime": 66.128,
|
269 |
+
"eval_samples_per_second": 32.482,
|
270 |
+
"eval_steps_per_second": 2.041,
|
271 |
+
"eval_wer": 0.20968215158924206,
|
272 |
+
"step": 3200
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 21.15,
|
276 |
+
"learning_rate": 4.9665441176470586e-05,
|
277 |
+
"loss": 0.9179,
|
278 |
+
"step": 3300
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 21.79,
|
282 |
+
"learning_rate": 4.8562499999999995e-05,
|
283 |
+
"loss": 0.8963,
|
284 |
+
"step": 3400
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 22.44,
|
288 |
+
"learning_rate": 4.745955882352941e-05,
|
289 |
+
"loss": 0.8826,
|
290 |
+
"step": 3500
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 23.08,
|
294 |
+
"learning_rate": 4.635661764705882e-05,
|
295 |
+
"loss": 0.8842,
|
296 |
+
"step": 3600
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 23.08,
|
300 |
+
"eval_loss": 0.19037693738937378,
|
301 |
+
"eval_runtime": 67.9694,
|
302 |
+
"eval_samples_per_second": 31.602,
|
303 |
+
"eval_steps_per_second": 1.986,
|
304 |
+
"eval_wer": 0.2039119804400978,
|
305 |
+
"step": 3600
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 23.72,
|
309 |
+
"learning_rate": 4.5253676470588234e-05,
|
310 |
+
"loss": 0.8683,
|
311 |
+
"step": 3700
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 24.36,
|
315 |
+
"learning_rate": 4.416176470588235e-05,
|
316 |
+
"loss": 0.8599,
|
317 |
+
"step": 3800
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 25.0,
|
321 |
+
"learning_rate": 4.305882352941176e-05,
|
322 |
+
"loss": 0.8658,
|
323 |
+
"step": 3900
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 25.64,
|
327 |
+
"learning_rate": 4.1955882352941173e-05,
|
328 |
+
"loss": 0.8542,
|
329 |
+
"step": 4000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 25.64,
|
333 |
+
"eval_loss": 0.1846681386232376,
|
334 |
+
"eval_runtime": 67.5681,
|
335 |
+
"eval_samples_per_second": 31.79,
|
336 |
+
"eval_steps_per_second": 1.998,
|
337 |
+
"eval_wer": 0.19814180929095354,
|
338 |
+
"step": 4000
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 26.28,
|
342 |
+
"learning_rate": 4.085294117647058e-05,
|
343 |
+
"loss": 0.8468,
|
344 |
+
"step": 4100
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 26.92,
|
348 |
+
"learning_rate": 3.975e-05,
|
349 |
+
"loss": 0.8462,
|
350 |
+
"step": 4200
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 27.56,
|
354 |
+
"learning_rate": 3.8647058823529406e-05,
|
355 |
+
"loss": 0.8284,
|
356 |
+
"step": 4300
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 28.21,
|
360 |
+
"learning_rate": 3.754411764705882e-05,
|
361 |
+
"loss": 0.8244,
|
362 |
+
"step": 4400
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 28.21,
|
366 |
+
"eval_loss": 0.1804967224597931,
|
367 |
+
"eval_runtime": 66.5917,
|
368 |
+
"eval_samples_per_second": 32.256,
|
369 |
+
"eval_steps_per_second": 2.027,
|
370 |
+
"eval_wer": 0.18474327628361858,
|
371 |
+
"step": 4400
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 28.85,
|
375 |
+
"learning_rate": 3.6441176470588236e-05,
|
376 |
+
"loss": 0.8288,
|
377 |
+
"step": 4500
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 29.49,
|
381 |
+
"learning_rate": 3.5338235294117645e-05,
|
382 |
+
"loss": 0.7904,
|
383 |
+
"step": 4600
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 30.13,
|
387 |
+
"learning_rate": 3.423529411764706e-05,
|
388 |
+
"loss": 0.8157,
|
389 |
+
"step": 4700
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 30.77,
|
393 |
+
"learning_rate": 3.313235294117647e-05,
|
394 |
+
"loss": 0.7689,
|
395 |
+
"step": 4800
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 30.77,
|
399 |
+
"eval_loss": 0.17355979979038239,
|
400 |
+
"eval_runtime": 69.3305,
|
401 |
+
"eval_samples_per_second": 30.982,
|
402 |
+
"eval_steps_per_second": 1.947,
|
403 |
+
"eval_wer": 0.18317848410757948,
|
404 |
+
"step": 4800
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 31.41,
|
408 |
+
"learning_rate": 3.202941176470588e-05,
|
409 |
+
"loss": 0.7948,
|
410 |
+
"step": 4900
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 32.05,
|
414 |
+
"learning_rate": 3.092647058823529e-05,
|
415 |
+
"loss": 0.8035,
|
416 |
+
"step": 5000
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 32.69,
|
420 |
+
"learning_rate": 2.9823529411764704e-05,
|
421 |
+
"loss": 0.7754,
|
422 |
+
"step": 5100
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 33.33,
|
426 |
+
"learning_rate": 2.8720588235294116e-05,
|
427 |
+
"loss": 0.7825,
|
428 |
+
"step": 5200
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 33.33,
|
432 |
+
"eval_loss": 0.1698261797428131,
|
433 |
+
"eval_runtime": 67.6625,
|
434 |
+
"eval_samples_per_second": 31.746,
|
435 |
+
"eval_steps_per_second": 1.995,
|
436 |
+
"eval_wer": 0.18210268948655256,
|
437 |
+
"step": 5200
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 33.97,
|
441 |
+
"learning_rate": 2.7617647058823528e-05,
|
442 |
+
"loss": 0.7748,
|
443 |
+
"step": 5300
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 34.62,
|
447 |
+
"learning_rate": 2.651470588235294e-05,
|
448 |
+
"loss": 0.7704,
|
449 |
+
"step": 5400
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 35.26,
|
453 |
+
"learning_rate": 2.5411764705882348e-05,
|
454 |
+
"loss": 0.7597,
|
455 |
+
"step": 5500
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 35.9,
|
459 |
+
"learning_rate": 2.430882352941176e-05,
|
460 |
+
"loss": 0.7817,
|
461 |
+
"step": 5600
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 35.9,
|
465 |
+
"eval_loss": 0.17581327259540558,
|
466 |
+
"eval_runtime": 67.4489,
|
467 |
+
"eval_samples_per_second": 31.846,
|
468 |
+
"eval_steps_per_second": 2.002,
|
469 |
+
"eval_wer": 0.18034229828850856,
|
470 |
+
"step": 5600
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 36.54,
|
474 |
+
"learning_rate": 2.3205882352941172e-05,
|
475 |
+
"loss": 0.744,
|
476 |
+
"step": 5700
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 37.18,
|
480 |
+
"learning_rate": 2.2102941176470584e-05,
|
481 |
+
"loss": 0.7508,
|
482 |
+
"step": 5800
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 37.82,
|
486 |
+
"learning_rate": 2.1e-05,
|
487 |
+
"loss": 0.746,
|
488 |
+
"step": 5900
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 38.46,
|
492 |
+
"learning_rate": 1.989705882352941e-05,
|
493 |
+
"loss": 0.7488,
|
494 |
+
"step": 6000
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 38.46,
|
498 |
+
"eval_loss": 0.16634251177310944,
|
499 |
+
"eval_runtime": 67.3054,
|
500 |
+
"eval_samples_per_second": 31.914,
|
501 |
+
"eval_steps_per_second": 2.006,
|
502 |
+
"eval_wer": 0.17603911980440098,
|
503 |
+
"step": 6000
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 39.1,
|
507 |
+
"learning_rate": 1.8794117647058823e-05,
|
508 |
+
"loss": 0.7486,
|
509 |
+
"step": 6100
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 39.74,
|
513 |
+
"learning_rate": 1.7691176470588234e-05,
|
514 |
+
"loss": 0.7281,
|
515 |
+
"step": 6200
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 40.38,
|
519 |
+
"learning_rate": 1.6588235294117646e-05,
|
520 |
+
"loss": 0.7317,
|
521 |
+
"step": 6300
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 41.03,
|
525 |
+
"learning_rate": 1.5485294117647058e-05,
|
526 |
+
"loss": 0.7171,
|
527 |
+
"step": 6400
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 41.03,
|
531 |
+
"eval_loss": 0.16363976895809174,
|
532 |
+
"eval_runtime": 68.4211,
|
533 |
+
"eval_samples_per_second": 31.394,
|
534 |
+
"eval_steps_per_second": 1.973,
|
535 |
+
"eval_wer": 0.17212713936430318,
|
536 |
+
"step": 6400
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 41.67,
|
540 |
+
"learning_rate": 1.438235294117647e-05,
|
541 |
+
"loss": 0.7196,
|
542 |
+
"step": 6500
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 42.31,
|
546 |
+
"learning_rate": 1.3279411764705882e-05,
|
547 |
+
"loss": 0.7292,
|
548 |
+
"step": 6600
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 42.95,
|
552 |
+
"learning_rate": 1.2176470588235294e-05,
|
553 |
+
"loss": 0.7319,
|
554 |
+
"step": 6700
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 43.59,
|
558 |
+
"learning_rate": 1.1073529411764704e-05,
|
559 |
+
"loss": 0.7222,
|
560 |
+
"step": 6800
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 43.59,
|
564 |
+
"eval_loss": 0.16627496480941772,
|
565 |
+
"eval_runtime": 67.2415,
|
566 |
+
"eval_samples_per_second": 31.945,
|
567 |
+
"eval_steps_per_second": 2.008,
|
568 |
+
"eval_wer": 0.17290953545232274,
|
569 |
+
"step": 6800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 44.23,
|
573 |
+
"learning_rate": 9.970588235294116e-06,
|
574 |
+
"loss": 0.709,
|
575 |
+
"step": 6900
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 44.87,
|
579 |
+
"learning_rate": 8.86764705882353e-06,
|
580 |
+
"loss": 0.7162,
|
581 |
+
"step": 7000
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 45.51,
|
585 |
+
"learning_rate": 7.764705882352941e-06,
|
586 |
+
"loss": 0.7282,
|
587 |
+
"step": 7100
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 46.15,
|
591 |
+
"learning_rate": 6.6838235294117634e-06,
|
592 |
+
"loss": 0.7156,
|
593 |
+
"step": 7200
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 46.15,
|
597 |
+
"eval_loss": 0.16330638527870178,
|
598 |
+
"eval_runtime": 67.815,
|
599 |
+
"eval_samples_per_second": 31.674,
|
600 |
+
"eval_steps_per_second": 1.991,
|
601 |
+
"eval_wer": 0.17154034229828852,
|
602 |
+
"step": 7200
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 46.79,
|
606 |
+
"learning_rate": 5.580882352941176e-06,
|
607 |
+
"loss": 0.7001,
|
608 |
+
"step": 7300
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 47.44,
|
612 |
+
"learning_rate": 4.477941176470588e-06,
|
613 |
+
"loss": 0.7034,
|
614 |
+
"step": 7400
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 48.08,
|
618 |
+
"learning_rate": 3.3749999999999995e-06,
|
619 |
+
"loss": 0.6991,
|
620 |
+
"step": 7500
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 48.72,
|
624 |
+
"learning_rate": 2.2720588235294113e-06,
|
625 |
+
"loss": 0.7121,
|
626 |
+
"step": 7600
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 48.72,
|
630 |
+
"eval_loss": 0.16656027734279633,
|
631 |
+
"eval_runtime": 66.7215,
|
632 |
+
"eval_samples_per_second": 32.194,
|
633 |
+
"eval_steps_per_second": 2.023,
|
634 |
+
"eval_wer": 0.17183374083129585,
|
635 |
+
"step": 7600
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 49.36,
|
639 |
+
"learning_rate": 1.1691176470588234e-06,
|
640 |
+
"loss": 0.7012,
|
641 |
+
"step": 7700
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 50.0,
|
645 |
+
"learning_rate": 6.617647058823529e-08,
|
646 |
+
"loss": 0.6972,
|
647 |
+
"step": 7800
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 50.0,
|
651 |
+
"step": 7800,
|
652 |
+
"total_flos": 2.5302348778981876e+19,
|
653 |
+
"train_loss": 1.4054935827010717,
|
654 |
+
"train_runtime": 11681.5311,
|
655 |
+
"train_samples_per_second": 21.243,
|
656 |
+
"train_steps_per_second": 0.668
|
657 |
+
}
|
658 |
+
],
|
659 |
+
"max_steps": 7800,
|
660 |
+
"num_train_epochs": 50,
|
661 |
+
"total_flos": 2.5302348778981876e+19,
|
662 |
+
"trial_name": null,
|
663 |
+
"trial_params": null
|
664 |
+
}
|