infinitejoy
commited on
Commit
•
57ff16f
1
Parent(s):
451f2a6
End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- train_results.json +8 -0
- trainer_state.json +577 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"eval_loss": 0.20929841697216034,
|
4 |
+
"eval_runtime": 43.7778,
|
5 |
+
"eval_samples": 1184,
|
6 |
+
"eval_samples_per_second": 27.046,
|
7 |
+
"eval_steps_per_second": 1.69,
|
8 |
+
"eval_wer": 0.190736096769435,
|
9 |
+
"train_loss": 1.1495286922454835,
|
10 |
+
"train_runtime": 11669.3128,
|
11 |
+
"train_samples": 2558,
|
12 |
+
"train_samples_per_second": 21.921,
|
13 |
+
"train_steps_per_second": 0.686
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"eval_loss": 0.20929841697216034,
|
4 |
+
"eval_runtime": 43.7778,
|
5 |
+
"eval_samples": 1184,
|
6 |
+
"eval_samples_per_second": 27.046,
|
7 |
+
"eval_steps_per_second": 1.69,
|
8 |
+
"eval_wer": 0.190736096769435
|
9 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"train_loss": 1.1495286922454835,
|
4 |
+
"train_runtime": 11669.3128,
|
5 |
+
"train_samples": 2558,
|
6 |
+
"train_samples_per_second": 21.921,
|
7 |
+
"train_steps_per_second": 0.686
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,577 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 100.0,
|
5 |
+
"global_step": 8000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 1.25,
|
12 |
+
"learning_rate": 6.789999999999999e-06,
|
13 |
+
"loss": 15.499,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 2.5,
|
18 |
+
"learning_rate": 1.379e-05,
|
19 |
+
"loss": 5.6988,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 3.75,
|
24 |
+
"learning_rate": 2.0789999999999996e-05,
|
25 |
+
"loss": 3.9135,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 5.0,
|
30 |
+
"learning_rate": 2.779e-05,
|
31 |
+
"loss": 3.315,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 6.25,
|
36 |
+
"learning_rate": 3.479e-05,
|
37 |
+
"loss": 3.0713,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 7.5,
|
42 |
+
"learning_rate": 4.178999999999999e-05,
|
43 |
+
"loss": 2.9727,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 8.75,
|
48 |
+
"learning_rate": 4.878999999999999e-05,
|
49 |
+
"loss": 2.8912,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 10.0,
|
54 |
+
"learning_rate": 5.579e-05,
|
55 |
+
"loss": 2.8514,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 11.25,
|
60 |
+
"learning_rate": 6.279e-05,
|
61 |
+
"loss": 2.5765,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 12.5,
|
66 |
+
"learning_rate": 6.979e-05,
|
67 |
+
"loss": 1.785,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 12.5,
|
72 |
+
"eval_loss": 0.7464718222618103,
|
73 |
+
"eval_runtime": 42.2657,
|
74 |
+
"eval_samples_per_second": 28.013,
|
75 |
+
"eval_steps_per_second": 1.751,
|
76 |
+
"eval_wer": 0.6812214190883611,
|
77 |
+
"step": 1000
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 13.75,
|
81 |
+
"learning_rate": 6.903e-05,
|
82 |
+
"loss": 1.4773,
|
83 |
+
"step": 1100
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 15.0,
|
87 |
+
"learning_rate": 6.803e-05,
|
88 |
+
"loss": 1.3507,
|
89 |
+
"step": 1200
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 16.25,
|
93 |
+
"learning_rate": 6.702999999999999e-05,
|
94 |
+
"loss": 1.2818,
|
95 |
+
"step": 1300
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 17.5,
|
99 |
+
"learning_rate": 6.602999999999999e-05,
|
100 |
+
"loss": 1.233,
|
101 |
+
"step": 1400
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 18.75,
|
105 |
+
"learning_rate": 6.502999999999999e-05,
|
106 |
+
"loss": 1.161,
|
107 |
+
"step": 1500
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 20.0,
|
111 |
+
"learning_rate": 6.403e-05,
|
112 |
+
"loss": 1.1004,
|
113 |
+
"step": 1600
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 21.25,
|
117 |
+
"learning_rate": 6.303e-05,
|
118 |
+
"loss": 1.0246,
|
119 |
+
"step": 1700
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 22.5,
|
123 |
+
"learning_rate": 6.202999999999999e-05,
|
124 |
+
"loss": 0.9693,
|
125 |
+
"step": 1800
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 23.75,
|
129 |
+
"learning_rate": 6.103e-05,
|
130 |
+
"loss": 0.9507,
|
131 |
+
"step": 1900
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 25.0,
|
135 |
+
"learning_rate": 6.002999999999999e-05,
|
136 |
+
"loss": 0.8989,
|
137 |
+
"step": 2000
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 25.0,
|
141 |
+
"eval_loss": 0.24948318302631378,
|
142 |
+
"eval_runtime": 40.7976,
|
143 |
+
"eval_samples_per_second": 29.021,
|
144 |
+
"eval_steps_per_second": 1.814,
|
145 |
+
"eval_wer": 0.27319663667207555,
|
146 |
+
"step": 2000
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 26.25,
|
150 |
+
"learning_rate": 5.904e-05,
|
151 |
+
"loss": 0.8743,
|
152 |
+
"step": 2100
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 27.5,
|
156 |
+
"learning_rate": 5.804e-05,
|
157 |
+
"loss": 0.8558,
|
158 |
+
"step": 2200
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 28.75,
|
162 |
+
"learning_rate": 5.7039999999999996e-05,
|
163 |
+
"loss": 0.8228,
|
164 |
+
"step": 2300
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 30.0,
|
168 |
+
"learning_rate": 5.604e-05,
|
169 |
+
"loss": 0.8154,
|
170 |
+
"step": 2400
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 31.25,
|
174 |
+
"learning_rate": 5.5039999999999995e-05,
|
175 |
+
"loss": 0.7932,
|
176 |
+
"step": 2500
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 32.5,
|
180 |
+
"learning_rate": 5.404e-05,
|
181 |
+
"loss": 0.7755,
|
182 |
+
"step": 2600
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 33.75,
|
186 |
+
"learning_rate": 5.3039999999999994e-05,
|
187 |
+
"loss": 0.7585,
|
188 |
+
"step": 2700
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 35.0,
|
192 |
+
"learning_rate": 5.2039999999999996e-05,
|
193 |
+
"loss": 0.7472,
|
194 |
+
"step": 2800
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 36.25,
|
198 |
+
"learning_rate": 5.103999999999999e-05,
|
199 |
+
"loss": 0.734,
|
200 |
+
"step": 2900
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 37.5,
|
204 |
+
"learning_rate": 5.0039999999999995e-05,
|
205 |
+
"loss": 0.7118,
|
206 |
+
"step": 3000
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 37.5,
|
210 |
+
"eval_loss": 0.21255508065223694,
|
211 |
+
"eval_runtime": 40.7166,
|
212 |
+
"eval_samples_per_second": 29.079,
|
213 |
+
"eval_steps_per_second": 1.817,
|
214 |
+
"eval_wer": 0.22835226434577371,
|
215 |
+
"step": 3000
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 38.75,
|
219 |
+
"learning_rate": 4.904e-05,
|
220 |
+
"loss": 0.7163,
|
221 |
+
"step": 3100
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 40.0,
|
225 |
+
"learning_rate": 4.8039999999999994e-05,
|
226 |
+
"loss": 0.7066,
|
227 |
+
"step": 3200
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 41.25,
|
231 |
+
"learning_rate": 4.704e-05,
|
232 |
+
"loss": 0.7067,
|
233 |
+
"step": 3300
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 42.5,
|
237 |
+
"learning_rate": 4.603999999999999e-05,
|
238 |
+
"loss": 0.688,
|
239 |
+
"step": 3400
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 43.75,
|
243 |
+
"learning_rate": 4.5039999999999996e-05,
|
244 |
+
"loss": 0.6777,
|
245 |
+
"step": 3500
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 45.0,
|
249 |
+
"learning_rate": 4.403999999999999e-05,
|
250 |
+
"loss": 0.6621,
|
251 |
+
"step": 3600
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 46.25,
|
255 |
+
"learning_rate": 4.3039999999999994e-05,
|
256 |
+
"loss": 0.6494,
|
257 |
+
"step": 3700
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 47.5,
|
261 |
+
"learning_rate": 4.203999999999999e-05,
|
262 |
+
"loss": 0.646,
|
263 |
+
"step": 3800
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 48.75,
|
267 |
+
"learning_rate": 4.104e-05,
|
268 |
+
"loss": 0.6356,
|
269 |
+
"step": 3900
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 50.0,
|
273 |
+
"learning_rate": 4.0039999999999996e-05,
|
274 |
+
"loss": 0.6367,
|
275 |
+
"step": 4000
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 50.0,
|
279 |
+
"eval_loss": 0.20487311482429504,
|
280 |
+
"eval_runtime": 43.4458,
|
281 |
+
"eval_samples_per_second": 27.252,
|
282 |
+
"eval_steps_per_second": 1.703,
|
283 |
+
"eval_wer": 0.20489747750405665,
|
284 |
+
"step": 4000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 51.25,
|
288 |
+
"learning_rate": 3.904e-05,
|
289 |
+
"loss": 0.6272,
|
290 |
+
"step": 4100
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 52.5,
|
294 |
+
"learning_rate": 3.804e-05,
|
295 |
+
"loss": 0.6187,
|
296 |
+
"step": 4200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 53.75,
|
300 |
+
"learning_rate": 3.704e-05,
|
301 |
+
"loss": 0.6116,
|
302 |
+
"step": 4300
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 55.0,
|
306 |
+
"learning_rate": 3.604e-05,
|
307 |
+
"loss": 0.6074,
|
308 |
+
"step": 4400
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 56.25,
|
312 |
+
"learning_rate": 3.504999999999999e-05,
|
313 |
+
"loss": 0.5945,
|
314 |
+
"step": 4500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 57.5,
|
318 |
+
"learning_rate": 3.4049999999999994e-05,
|
319 |
+
"loss": 0.6074,
|
320 |
+
"step": 4600
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 58.75,
|
324 |
+
"learning_rate": 3.305e-05,
|
325 |
+
"loss": 0.6011,
|
326 |
+
"step": 4700
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 60.0,
|
330 |
+
"learning_rate": 3.205e-05,
|
331 |
+
"loss": 0.5815,
|
332 |
+
"step": 4800
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 61.25,
|
336 |
+
"learning_rate": 3.1049999999999996e-05,
|
337 |
+
"loss": 0.5704,
|
338 |
+
"step": 4900
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 62.5,
|
342 |
+
"learning_rate": 3.0049999999999995e-05,
|
343 |
+
"loss": 0.5763,
|
344 |
+
"step": 5000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 62.5,
|
348 |
+
"eval_loss": 0.21160605549812317,
|
349 |
+
"eval_runtime": 41.2219,
|
350 |
+
"eval_samples_per_second": 28.723,
|
351 |
+
"eval_steps_per_second": 1.795,
|
352 |
+
"eval_wer": 0.20548753503466588,
|
353 |
+
"step": 5000
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 63.75,
|
357 |
+
"learning_rate": 2.9049999999999995e-05,
|
358 |
+
"loss": 0.5742,
|
359 |
+
"step": 5100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 65.0,
|
363 |
+
"learning_rate": 2.8049999999999997e-05,
|
364 |
+
"loss": 0.58,
|
365 |
+
"step": 5200
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 66.25,
|
369 |
+
"learning_rate": 2.705e-05,
|
370 |
+
"loss": 0.5542,
|
371 |
+
"step": 5300
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 67.5,
|
375 |
+
"learning_rate": 2.605e-05,
|
376 |
+
"loss": 0.5472,
|
377 |
+
"step": 5400
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 68.75,
|
381 |
+
"learning_rate": 2.505e-05,
|
382 |
+
"loss": 0.5433,
|
383 |
+
"step": 5500
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 70.0,
|
387 |
+
"learning_rate": 2.405e-05,
|
388 |
+
"loss": 0.5448,
|
389 |
+
"step": 5600
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 71.25,
|
393 |
+
"learning_rate": 2.3049999999999998e-05,
|
394 |
+
"loss": 0.5469,
|
395 |
+
"step": 5700
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 72.5,
|
399 |
+
"learning_rate": 2.2049999999999997e-05,
|
400 |
+
"loss": 0.5424,
|
401 |
+
"step": 5800
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 73.75,
|
405 |
+
"learning_rate": 2.1049999999999997e-05,
|
406 |
+
"loss": 0.5221,
|
407 |
+
"step": 5900
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 75.0,
|
411 |
+
"learning_rate": 2.0049999999999996e-05,
|
412 |
+
"loss": 0.5196,
|
413 |
+
"step": 6000
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 75.0,
|
417 |
+
"eval_loss": 0.21106497943401337,
|
418 |
+
"eval_runtime": 41.193,
|
419 |
+
"eval_samples_per_second": 28.743,
|
420 |
+
"eval_steps_per_second": 1.796,
|
421 |
+
"eval_wer": 0.19103112553473964,
|
422 |
+
"step": 6000
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 76.25,
|
426 |
+
"learning_rate": 1.905e-05,
|
427 |
+
"loss": 0.5215,
|
428 |
+
"step": 6100
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 77.5,
|
432 |
+
"learning_rate": 1.8049999999999998e-05,
|
433 |
+
"loss": 0.5141,
|
434 |
+
"step": 6200
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 78.75,
|
438 |
+
"learning_rate": 1.7049999999999998e-05,
|
439 |
+
"loss": 0.5087,
|
440 |
+
"step": 6300
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 80.0,
|
444 |
+
"learning_rate": 1.6049999999999997e-05,
|
445 |
+
"loss": 0.5136,
|
446 |
+
"step": 6400
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 81.25,
|
450 |
+
"learning_rate": 1.5049999999999998e-05,
|
451 |
+
"loss": 0.4973,
|
452 |
+
"step": 6500
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 82.5,
|
456 |
+
"learning_rate": 1.4049999999999998e-05,
|
457 |
+
"loss": 0.5064,
|
458 |
+
"step": 6600
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 83.75,
|
462 |
+
"learning_rate": 1.3049999999999999e-05,
|
463 |
+
"loss": 0.4985,
|
464 |
+
"step": 6700
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 85.0,
|
468 |
+
"learning_rate": 1.205e-05,
|
469 |
+
"loss": 0.4926,
|
470 |
+
"step": 6800
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 86.25,
|
474 |
+
"learning_rate": 1.105e-05,
|
475 |
+
"loss": 0.4973,
|
476 |
+
"step": 6900
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 87.5,
|
480 |
+
"learning_rate": 1.0049999999999999e-05,
|
481 |
+
"loss": 0.4949,
|
482 |
+
"step": 7000
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 87.5,
|
486 |
+
"eval_loss": 0.21311460435390472,
|
487 |
+
"eval_runtime": 43.2323,
|
488 |
+
"eval_samples_per_second": 27.387,
|
489 |
+
"eval_steps_per_second": 1.712,
|
490 |
+
"eval_wer": 0.19309632689187195,
|
491 |
+
"step": 7000
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 88.75,
|
495 |
+
"learning_rate": 9.05e-06,
|
496 |
+
"loss": 0.5008,
|
497 |
+
"step": 7100
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 90.0,
|
501 |
+
"learning_rate": 8.05e-06,
|
502 |
+
"loss": 0.4834,
|
503 |
+
"step": 7200
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 91.25,
|
507 |
+
"learning_rate": 7.049999999999999e-06,
|
508 |
+
"loss": 0.4717,
|
509 |
+
"step": 7300
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 92.5,
|
513 |
+
"learning_rate": 6.049999999999999e-06,
|
514 |
+
"loss": 0.485,
|
515 |
+
"step": 7400
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 93.75,
|
519 |
+
"learning_rate": 5.05e-06,
|
520 |
+
"loss": 0.4835,
|
521 |
+
"step": 7500
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 95.0,
|
525 |
+
"learning_rate": 4.049999999999999e-06,
|
526 |
+
"loss": 0.4787,
|
527 |
+
"step": 7600
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 96.25,
|
531 |
+
"learning_rate": 3.05e-06,
|
532 |
+
"loss": 0.4747,
|
533 |
+
"step": 7700
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 97.5,
|
537 |
+
"learning_rate": 2.05e-06,
|
538 |
+
"loss": 0.4804,
|
539 |
+
"step": 7800
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 98.75,
|
543 |
+
"learning_rate": 1.05e-06,
|
544 |
+
"loss": 0.4731,
|
545 |
+
"step": 7900
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 100.0,
|
549 |
+
"learning_rate": 6e-08,
|
550 |
+
"loss": 0.4797,
|
551 |
+
"step": 8000
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 100.0,
|
555 |
+
"eval_loss": 0.20929841697216034,
|
556 |
+
"eval_runtime": 42.6795,
|
557 |
+
"eval_samples_per_second": 27.742,
|
558 |
+
"eval_steps_per_second": 1.734,
|
559 |
+
"eval_wer": 0.190736096769435,
|
560 |
+
"step": 8000
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 100.0,
|
564 |
+
"step": 8000,
|
565 |
+
"total_flos": 2.997146399308124e+19,
|
566 |
+
"train_loss": 1.1495286922454835,
|
567 |
+
"train_runtime": 11669.3128,
|
568 |
+
"train_samples_per_second": 21.921,
|
569 |
+
"train_steps_per_second": 0.686
|
570 |
+
}
|
571 |
+
],
|
572 |
+
"max_steps": 8000,
|
573 |
+
"num_train_epochs": 100,
|
574 |
+
"total_flos": 2.997146399308124e+19,
|
575 |
+
"trial_name": null,
|
576 |
+
"trial_params": null
|
577 |
+
}
|