End of training
Browse files- README.md +3 -2
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Aug21_17-12-55_DESKTOP-8I5F6JA/events.out.tfevents.1724235214.DESKTOP-8I5F6JA +3 -0
- train_results.json +4 -4
- trainer_state.json +130 -130
README.md
CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
|
|
3 |
license: apache-2.0
|
4 |
base_model: openai/whisper-small
|
5 |
tags:
|
|
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- wer
|
@@ -18,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss:
|
22 |
-
- Wer:
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: openai/whisper-small
|
5 |
tags:
|
6 |
+
- whisper-event
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- wer
|
|
|
19 |
|
20 |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 1.9986
|
23 |
+
- Wer: 98.7061
|
24 |
|
25 |
## Model description
|
26 |
|
all_results.json
CHANGED
@@ -1,15 +1,15 @@
|
|
1 |
{
|
2 |
"epoch": 5.0761421319796955,
|
3 |
-
"eval_loss": 1.
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 500,
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
-
"eval_wer":
|
9 |
"total_flos": 2.8844110761984e+18,
|
10 |
-
"train_loss": 0.
|
11 |
-
"train_runtime":
|
12 |
"train_samples": 2000,
|
13 |
-
"train_samples_per_second": 3.
|
14 |
-
"train_steps_per_second": 1.
|
15 |
}
|
|
|
1 |
{
|
2 |
"epoch": 5.0761421319796955,
|
3 |
+
"eval_loss": 1.998580813407898,
|
4 |
+
"eval_runtime": 220.1568,
|
5 |
"eval_samples": 500,
|
6 |
+
"eval_samples_per_second": 2.271,
|
7 |
+
"eval_steps_per_second": 1.136,
|
8 |
+
"eval_wer": 98.70609981515712,
|
9 |
"total_flos": 2.8844110761984e+18,
|
10 |
+
"train_loss": 0.9472008905410767,
|
11 |
+
"train_runtime": 3309.5787,
|
12 |
"train_samples": 2000,
|
13 |
+
"train_samples_per_second": 3.022,
|
14 |
+
"train_steps_per_second": 1.511
|
15 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 5.0761421319796955,
|
3 |
-
"eval_loss": 1.
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 500,
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 1.
|
8 |
-
"eval_wer":
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 5.0761421319796955,
|
3 |
+
"eval_loss": 1.998580813407898,
|
4 |
+
"eval_runtime": 220.1568,
|
5 |
"eval_samples": 500,
|
6 |
+
"eval_samples_per_second": 2.271,
|
7 |
+
"eval_steps_per_second": 1.136,
|
8 |
+
"eval_wer": 98.70609981515712
|
9 |
}
|
runs/Aug21_17-12-55_DESKTOP-8I5F6JA/events.out.tfevents.1724235214.DESKTOP-8I5F6JA
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:19e770ea99c23482a39ecdc05e24e50486527e208107f692e27af6aaa2d66e03
|
3 |
+
size 40
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 5.0761421319796955,
|
3 |
"total_flos": 2.8844110761984e+18,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 2000,
|
7 |
-
"train_samples_per_second": 3.
|
8 |
-
"train_steps_per_second": 1.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 5.0761421319796955,
|
3 |
"total_flos": 2.8844110761984e+18,
|
4 |
+
"train_loss": 0.9472008905410767,
|
5 |
+
"train_runtime": 3309.5787,
|
6 |
"train_samples": 2000,
|
7 |
+
"train_samples_per_second": 3.022,
|
8 |
+
"train_steps_per_second": 1.511
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
"best_model_checkpoint": "./output_dir/checkpoint-2000",
|
4 |
"epoch": 5.0761421319796955,
|
5 |
"eval_steps": 1000,
|
@@ -10,407 +10,407 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.10152284263959391,
|
13 |
-
"grad_norm": 45.
|
14 |
"learning_rate": 1.9000000000000002e-06,
|
15 |
-
"loss": 2.
|
16 |
"step": 100
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.20304568527918782,
|
20 |
-
"grad_norm": 45.
|
21 |
"learning_rate": 3.900000000000001e-06,
|
22 |
-
"loss": 2.
|
23 |
"step": 200
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.30456852791878175,
|
27 |
-
"grad_norm": 48.
|
28 |
"learning_rate": 5.9e-06,
|
29 |
-
"loss": 2.
|
30 |
"step": 300
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.40609137055837563,
|
34 |
-
"grad_norm": 57.
|
35 |
"learning_rate": 7.9e-06,
|
36 |
-
"loss": 2.
|
37 |
"step": 400
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.5076142131979695,
|
41 |
-
"grad_norm":
|
42 |
"learning_rate": 9.9e-06,
|
43 |
-
"loss": 2.
|
44 |
"step": 500
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.6091370558375635,
|
48 |
-
"grad_norm": 55.
|
49 |
"learning_rate": 9.78888888888889e-06,
|
50 |
-
"loss": 2.
|
51 |
"step": 600
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.7106598984771574,
|
55 |
-
"grad_norm": 52.
|
56 |
"learning_rate": 9.566666666666668e-06,
|
57 |
-
"loss": 2.
|
58 |
"step": 700
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.8121827411167513,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 9.344444444444446e-06,
|
64 |
-
"loss": 1.
|
65 |
"step": 800
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.9137055837563451,
|
69 |
-
"grad_norm": 34.
|
70 |
"learning_rate": 9.124444444444444e-06,
|
71 |
-
"loss": 2.
|
72 |
"step": 900
|
73 |
},
|
74 |
{
|
75 |
"epoch": 1.015228426395939,
|
76 |
-
"grad_norm": 47.
|
77 |
"learning_rate": 8.902222222222224e-06,
|
78 |
-
"loss": 1.
|
79 |
"step": 1000
|
80 |
},
|
81 |
{
|
82 |
"epoch": 1.015228426395939,
|
83 |
-
"eval_loss": 1.
|
84 |
-
"eval_runtime":
|
85 |
-
"eval_samples_per_second": 3.
|
86 |
-
"eval_steps_per_second": 1.
|
87 |
-
"eval_wer":
|
88 |
"step": 1000
|
89 |
},
|
90 |
{
|
91 |
"epoch": 1.116751269035533,
|
92 |
-
"grad_norm":
|
93 |
"learning_rate": 8.68e-06,
|
94 |
-
"loss": 1.
|
95 |
"step": 1100
|
96 |
},
|
97 |
{
|
98 |
"epoch": 1.218274111675127,
|
99 |
-
"grad_norm": 32.
|
100 |
"learning_rate": 8.457777777777778e-06,
|
101 |
-
"loss": 1.
|
102 |
"step": 1200
|
103 |
},
|
104 |
{
|
105 |
"epoch": 1.3197969543147208,
|
106 |
-
"grad_norm":
|
107 |
"learning_rate": 8.235555555555557e-06,
|
108 |
-
"loss": 1.
|
109 |
"step": 1300
|
110 |
},
|
111 |
{
|
112 |
"epoch": 1.4213197969543148,
|
113 |
-
"grad_norm":
|
114 |
"learning_rate": 8.013333333333333e-06,
|
115 |
-
"loss": 1.
|
116 |
"step": 1400
|
117 |
},
|
118 |
{
|
119 |
"epoch": 1.5228426395939088,
|
120 |
-
"grad_norm":
|
121 |
"learning_rate": 7.791111111111111e-06,
|
122 |
-
"loss": 1.
|
123 |
"step": 1500
|
124 |
},
|
125 |
{
|
126 |
"epoch": 1.6243654822335025,
|
127 |
-
"grad_norm":
|
128 |
"learning_rate": 7.56888888888889e-06,
|
129 |
-
"loss": 1.
|
130 |
"step": 1600
|
131 |
},
|
132 |
{
|
133 |
"epoch": 1.7258883248730963,
|
134 |
-
"grad_norm":
|
135 |
"learning_rate": 7.346666666666668e-06,
|
136 |
-
"loss": 1.
|
137 |
"step": 1700
|
138 |
},
|
139 |
{
|
140 |
"epoch": 1.8274111675126905,
|
141 |
-
"grad_norm":
|
142 |
"learning_rate": 7.124444444444445e-06,
|
143 |
-
"loss": 1.
|
144 |
"step": 1800
|
145 |
},
|
146 |
{
|
147 |
"epoch": 1.9289340101522843,
|
148 |
-
"grad_norm": 40.
|
149 |
"learning_rate": 6.902222222222223e-06,
|
150 |
-
"loss": 1.
|
151 |
"step": 1900
|
152 |
},
|
153 |
{
|
154 |
"epoch": 2.030456852791878,
|
155 |
-
"grad_norm": 29.
|
156 |
"learning_rate": 6.680000000000001e-06,
|
157 |
-
"loss": 1.
|
158 |
"step": 2000
|
159 |
},
|
160 |
{
|
161 |
"epoch": 2.030456852791878,
|
162 |
-
"eval_loss": 1.
|
163 |
-
"eval_runtime":
|
164 |
-
"eval_samples_per_second": 3.
|
165 |
-
"eval_steps_per_second": 1.
|
166 |
-
"eval_wer":
|
167 |
"step": 2000
|
168 |
},
|
169 |
{
|
170 |
"epoch": 2.1319796954314723,
|
171 |
-
"grad_norm":
|
172 |
"learning_rate": 6.457777777777778e-06,
|
173 |
-
"loss": 0.
|
174 |
"step": 2100
|
175 |
},
|
176 |
{
|
177 |
"epoch": 2.233502538071066,
|
178 |
-
"grad_norm": 30.
|
179 |
"learning_rate": 6.235555555555556e-06,
|
180 |
-
"loss": 0.
|
181 |
"step": 2200
|
182 |
},
|
183 |
{
|
184 |
"epoch": 2.33502538071066,
|
185 |
-
"grad_norm":
|
186 |
"learning_rate": 6.013333333333335e-06,
|
187 |
-
"loss": 0.
|
188 |
"step": 2300
|
189 |
},
|
190 |
{
|
191 |
"epoch": 2.436548223350254,
|
192 |
-
"grad_norm":
|
193 |
"learning_rate": 5.791111111111112e-06,
|
194 |
-
"loss": 0.
|
195 |
"step": 2400
|
196 |
},
|
197 |
{
|
198 |
"epoch": 2.5380710659898478,
|
199 |
-
"grad_norm":
|
200 |
"learning_rate": 5.56888888888889e-06,
|
201 |
-
"loss": 0.
|
202 |
"step": 2500
|
203 |
},
|
204 |
{
|
205 |
"epoch": 2.6395939086294415,
|
206 |
-
"grad_norm":
|
207 |
"learning_rate": 5.346666666666667e-06,
|
208 |
-
"loss": 0.
|
209 |
"step": 2600
|
210 |
},
|
211 |
{
|
212 |
"epoch": 2.7411167512690353,
|
213 |
-
"grad_norm":
|
214 |
"learning_rate": 5.124444444444445e-06,
|
215 |
-
"loss": 0.
|
216 |
"step": 2700
|
217 |
},
|
218 |
{
|
219 |
"epoch": 2.8426395939086295,
|
220 |
-
"grad_norm":
|
221 |
"learning_rate": 4.902222222222222e-06,
|
222 |
-
"loss": 0.
|
223 |
"step": 2800
|
224 |
},
|
225 |
{
|
226 |
"epoch": 2.9441624365482233,
|
227 |
-
"grad_norm":
|
228 |
"learning_rate": 4.680000000000001e-06,
|
229 |
-
"loss": 0.
|
230 |
"step": 2900
|
231 |
},
|
232 |
{
|
233 |
"epoch": 3.045685279187817,
|
234 |
-
"grad_norm":
|
235 |
"learning_rate": 4.457777777777778e-06,
|
236 |
-
"loss": 0.
|
237 |
"step": 3000
|
238 |
},
|
239 |
{
|
240 |
"epoch": 3.045685279187817,
|
241 |
-
"eval_loss": 2.
|
242 |
-
"eval_runtime":
|
243 |
-
"eval_samples_per_second": 3.
|
244 |
-
"eval_steps_per_second": 1.
|
245 |
-
"eval_wer":
|
246 |
"step": 3000
|
247 |
},
|
248 |
{
|
249 |
"epoch": 3.1472081218274113,
|
250 |
-
"grad_norm":
|
251 |
"learning_rate": 4.235555555555556e-06,
|
252 |
-
"loss": 0.
|
253 |
"step": 3100
|
254 |
},
|
255 |
{
|
256 |
"epoch": 3.248730964467005,
|
257 |
-
"grad_norm":
|
258 |
"learning_rate": 4.013333333333334e-06,
|
259 |
-
"loss": 0.
|
260 |
"step": 3200
|
261 |
},
|
262 |
{
|
263 |
"epoch": 3.350253807106599,
|
264 |
-
"grad_norm":
|
265 |
"learning_rate": 3.7911111111111114e-06,
|
266 |
-
"loss": 0.
|
267 |
"step": 3300
|
268 |
},
|
269 |
{
|
270 |
"epoch": 3.451776649746193,
|
271 |
-
"grad_norm":
|
272 |
"learning_rate": 3.568888888888889e-06,
|
273 |
-
"loss": 0.
|
274 |
"step": 3400
|
275 |
},
|
276 |
{
|
277 |
"epoch": 3.553299492385787,
|
278 |
-
"grad_norm":
|
279 |
"learning_rate": 3.346666666666667e-06,
|
280 |
-
"loss": 0.
|
281 |
"step": 3500
|
282 |
},
|
283 |
{
|
284 |
"epoch": 3.6548223350253806,
|
285 |
-
"grad_norm": 43.
|
286 |
"learning_rate": 3.124444444444445e-06,
|
287 |
-
"loss": 0.
|
288 |
"step": 3600
|
289 |
},
|
290 |
{
|
291 |
"epoch": 3.7563451776649748,
|
292 |
-
"grad_norm":
|
293 |
"learning_rate": 2.9022222222222223e-06,
|
294 |
-
"loss": 0.
|
295 |
"step": 3700
|
296 |
},
|
297 |
{
|
298 |
"epoch": 3.8578680203045685,
|
299 |
-
"grad_norm": 37.
|
300 |
"learning_rate": 2.68e-06,
|
301 |
-
"loss": 0.
|
302 |
"step": 3800
|
303 |
},
|
304 |
{
|
305 |
"epoch": 3.9593908629441623,
|
306 |
-
"grad_norm":
|
307 |
"learning_rate": 2.457777777777778e-06,
|
308 |
-
"loss": 0.
|
309 |
"step": 3900
|
310 |
},
|
311 |
{
|
312 |
"epoch": 4.060913705583756,
|
313 |
-
"grad_norm":
|
314 |
"learning_rate": 2.235555555555556e-06,
|
315 |
-
"loss": 0.
|
316 |
"step": 4000
|
317 |
},
|
318 |
{
|
319 |
"epoch": 4.060913705583756,
|
320 |
-
"eval_loss": 2.
|
321 |
-
"eval_runtime":
|
322 |
-
"eval_samples_per_second": 3.
|
323 |
-
"eval_steps_per_second": 1.
|
324 |
-
"eval_wer":
|
325 |
"step": 4000
|
326 |
},
|
327 |
{
|
328 |
"epoch": 4.16243654822335,
|
329 |
-
"grad_norm": 2.
|
330 |
"learning_rate": 2.0133333333333337e-06,
|
331 |
-
"loss": 0.
|
332 |
"step": 4100
|
333 |
},
|
334 |
{
|
335 |
"epoch": 4.2639593908629445,
|
336 |
-
"grad_norm":
|
337 |
"learning_rate": 1.7911111111111113e-06,
|
338 |
-
"loss": 0.
|
339 |
"step": 4200
|
340 |
},
|
341 |
{
|
342 |
"epoch": 4.365482233502538,
|
343 |
-
"grad_norm": 1.
|
344 |
"learning_rate": 1.568888888888889e-06,
|
345 |
-
"loss": 0.
|
346 |
"step": 4300
|
347 |
},
|
348 |
{
|
349 |
"epoch": 4.467005076142132,
|
350 |
-
"grad_norm":
|
351 |
"learning_rate": 1.3466666666666668e-06,
|
352 |
-
"loss": 0.
|
353 |
"step": 4400
|
354 |
},
|
355 |
{
|
356 |
"epoch": 4.568527918781726,
|
357 |
-
"grad_norm": 2.
|
358 |
"learning_rate": 1.1244444444444446e-06,
|
359 |
-
"loss": 0.
|
360 |
"step": 4500
|
361 |
},
|
362 |
{
|
363 |
"epoch": 4.67005076142132,
|
364 |
-
"grad_norm":
|
365 |
"learning_rate": 9.022222222222222e-07,
|
366 |
-
"loss": 0.
|
367 |
"step": 4600
|
368 |
},
|
369 |
{
|
370 |
"epoch": 4.771573604060913,
|
371 |
-
"grad_norm":
|
372 |
"learning_rate": 6.800000000000001e-07,
|
373 |
-
"loss": 0.
|
374 |
"step": 4700
|
375 |
},
|
376 |
{
|
377 |
"epoch": 4.873096446700508,
|
378 |
-
"grad_norm": 2.
|
379 |
"learning_rate": 4.5777777777777784e-07,
|
380 |
-
"loss": 0.
|
381 |
"step": 4800
|
382 |
},
|
383 |
{
|
384 |
"epoch": 4.974619289340102,
|
385 |
-
"grad_norm":
|
386 |
"learning_rate": 2.3555555555555556e-07,
|
387 |
-
"loss": 0.
|
388 |
"step": 4900
|
389 |
},
|
390 |
{
|
391 |
"epoch": 5.0761421319796955,
|
392 |
-
"grad_norm": 1.
|
393 |
"learning_rate": 1.3333333333333334e-08,
|
394 |
-
"loss": 0.
|
395 |
"step": 5000
|
396 |
},
|
397 |
{
|
398 |
"epoch": 5.0761421319796955,
|
399 |
-
"eval_loss": 2.
|
400 |
-
"eval_runtime":
|
401 |
-
"eval_samples_per_second":
|
402 |
-
"eval_steps_per_second":
|
403 |
-
"eval_wer":
|
404 |
"step": 5000
|
405 |
},
|
406 |
{
|
407 |
"epoch": 5.0761421319796955,
|
408 |
"step": 5000,
|
409 |
"total_flos": 2.8844110761984e+18,
|
410 |
-
"train_loss": 0.
|
411 |
-
"train_runtime":
|
412 |
-
"train_samples_per_second": 3.
|
413 |
-
"train_steps_per_second": 1.
|
414 |
}
|
415 |
],
|
416 |
"logging_steps": 100,
|
|
|
1 |
{
|
2 |
+
"best_metric": 98.70609981515712,
|
3 |
"best_model_checkpoint": "./output_dir/checkpoint-2000",
|
4 |
"epoch": 5.0761421319796955,
|
5 |
"eval_steps": 1000,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.10152284263959391,
|
13 |
+
"grad_norm": 45.90448760986328,
|
14 |
"learning_rate": 1.9000000000000002e-06,
|
15 |
+
"loss": 2.9236,
|
16 |
"step": 100
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.20304568527918782,
|
20 |
+
"grad_norm": 45.60980987548828,
|
21 |
"learning_rate": 3.900000000000001e-06,
|
22 |
+
"loss": 2.3207,
|
23 |
"step": 200
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.30456852791878175,
|
27 |
+
"grad_norm": 48.85076904296875,
|
28 |
"learning_rate": 5.9e-06,
|
29 |
+
"loss": 2.3722,
|
30 |
"step": 300
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.40609137055837563,
|
34 |
+
"grad_norm": 57.31239700317383,
|
35 |
"learning_rate": 7.9e-06,
|
36 |
+
"loss": 2.2005,
|
37 |
"step": 400
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.5076142131979695,
|
41 |
+
"grad_norm": 49.77920150756836,
|
42 |
"learning_rate": 9.9e-06,
|
43 |
+
"loss": 2.1747,
|
44 |
"step": 500
|
45 |
},
|
46 |
{
|
47 |
"epoch": 0.6091370558375635,
|
48 |
+
"grad_norm": 55.58150100708008,
|
49 |
"learning_rate": 9.78888888888889e-06,
|
50 |
+
"loss": 2.1791,
|
51 |
"step": 600
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.7106598984771574,
|
55 |
+
"grad_norm": 52.5217170715332,
|
56 |
"learning_rate": 9.566666666666668e-06,
|
57 |
+
"loss": 2.1021,
|
58 |
"step": 700
|
59 |
},
|
60 |
{
|
61 |
"epoch": 0.8121827411167513,
|
62 |
+
"grad_norm": 55.058692932128906,
|
63 |
"learning_rate": 9.344444444444446e-06,
|
64 |
+
"loss": 1.9604,
|
65 |
"step": 800
|
66 |
},
|
67 |
{
|
68 |
"epoch": 0.9137055837563451,
|
69 |
+
"grad_norm": 34.61323547363281,
|
70 |
"learning_rate": 9.124444444444444e-06,
|
71 |
+
"loss": 2.0828,
|
72 |
"step": 900
|
73 |
},
|
74 |
{
|
75 |
"epoch": 1.015228426395939,
|
76 |
+
"grad_norm": 47.21385192871094,
|
77 |
"learning_rate": 8.902222222222224e-06,
|
78 |
+
"loss": 1.9269,
|
79 |
"step": 1000
|
80 |
},
|
81 |
{
|
82 |
"epoch": 1.015228426395939,
|
83 |
+
"eval_loss": 1.9970486164093018,
|
84 |
+
"eval_runtime": 150.0104,
|
85 |
+
"eval_samples_per_second": 3.333,
|
86 |
+
"eval_steps_per_second": 1.667,
|
87 |
+
"eval_wer": 98.8909426987061,
|
88 |
"step": 1000
|
89 |
},
|
90 |
{
|
91 |
"epoch": 1.116751269035533,
|
92 |
+
"grad_norm": 35.22881317138672,
|
93 |
"learning_rate": 8.68e-06,
|
94 |
+
"loss": 1.3388,
|
95 |
"step": 1100
|
96 |
},
|
97 |
{
|
98 |
"epoch": 1.218274111675127,
|
99 |
+
"grad_norm": 32.23888397216797,
|
100 |
"learning_rate": 8.457777777777778e-06,
|
101 |
+
"loss": 1.3674,
|
102 |
"step": 1200
|
103 |
},
|
104 |
{
|
105 |
"epoch": 1.3197969543147208,
|
106 |
+
"grad_norm": 64.02044677734375,
|
107 |
"learning_rate": 8.235555555555557e-06,
|
108 |
+
"loss": 1.3716,
|
109 |
"step": 1300
|
110 |
},
|
111 |
{
|
112 |
"epoch": 1.4213197969543148,
|
113 |
+
"grad_norm": 42.64674758911133,
|
114 |
"learning_rate": 8.013333333333333e-06,
|
115 |
+
"loss": 1.3417,
|
116 |
"step": 1400
|
117 |
},
|
118 |
{
|
119 |
"epoch": 1.5228426395939088,
|
120 |
+
"grad_norm": 45.79219055175781,
|
121 |
"learning_rate": 7.791111111111111e-06,
|
122 |
+
"loss": 1.3784,
|
123 |
"step": 1500
|
124 |
},
|
125 |
{
|
126 |
"epoch": 1.6243654822335025,
|
127 |
+
"grad_norm": 49.44258499145508,
|
128 |
"learning_rate": 7.56888888888889e-06,
|
129 |
+
"loss": 1.4194,
|
130 |
"step": 1600
|
131 |
},
|
132 |
{
|
133 |
"epoch": 1.7258883248730963,
|
134 |
+
"grad_norm": 56.59699249267578,
|
135 |
"learning_rate": 7.346666666666668e-06,
|
136 |
+
"loss": 1.2794,
|
137 |
"step": 1700
|
138 |
},
|
139 |
{
|
140 |
"epoch": 1.8274111675126905,
|
141 |
+
"grad_norm": 41.86888122558594,
|
142 |
"learning_rate": 7.124444444444445e-06,
|
143 |
+
"loss": 1.4123,
|
144 |
"step": 1800
|
145 |
},
|
146 |
{
|
147 |
"epoch": 1.9289340101522843,
|
148 |
+
"grad_norm": 40.24543380737305,
|
149 |
"learning_rate": 6.902222222222223e-06,
|
150 |
+
"loss": 1.286,
|
151 |
"step": 1900
|
152 |
},
|
153 |
{
|
154 |
"epoch": 2.030456852791878,
|
155 |
+
"grad_norm": 29.812484741210938,
|
156 |
"learning_rate": 6.680000000000001e-06,
|
157 |
+
"loss": 1.1741,
|
158 |
"step": 2000
|
159 |
},
|
160 |
{
|
161 |
"epoch": 2.030456852791878,
|
162 |
+
"eval_loss": 1.998580813407898,
|
163 |
+
"eval_runtime": 146.0006,
|
164 |
+
"eval_samples_per_second": 3.425,
|
165 |
+
"eval_steps_per_second": 1.712,
|
166 |
+
"eval_wer": 98.70609981515712,
|
167 |
"step": 2000
|
168 |
},
|
169 |
{
|
170 |
"epoch": 2.1319796954314723,
|
171 |
+
"grad_norm": 33.02311325073242,
|
172 |
"learning_rate": 6.457777777777778e-06,
|
173 |
+
"loss": 0.6344,
|
174 |
"step": 2100
|
175 |
},
|
176 |
{
|
177 |
"epoch": 2.233502538071066,
|
178 |
+
"grad_norm": 30.681121826171875,
|
179 |
"learning_rate": 6.235555555555556e-06,
|
180 |
+
"loss": 0.7145,
|
181 |
"step": 2200
|
182 |
},
|
183 |
{
|
184 |
"epoch": 2.33502538071066,
|
185 |
+
"grad_norm": 26.669538497924805,
|
186 |
"learning_rate": 6.013333333333335e-06,
|
187 |
+
"loss": 0.7052,
|
188 |
"step": 2300
|
189 |
},
|
190 |
{
|
191 |
"epoch": 2.436548223350254,
|
192 |
+
"grad_norm": 52.27409362792969,
|
193 |
"learning_rate": 5.791111111111112e-06,
|
194 |
+
"loss": 0.7299,
|
195 |
"step": 2400
|
196 |
},
|
197 |
{
|
198 |
"epoch": 2.5380710659898478,
|
199 |
+
"grad_norm": 31.124650955200195,
|
200 |
"learning_rate": 5.56888888888889e-06,
|
201 |
+
"loss": 0.7692,
|
202 |
"step": 2500
|
203 |
},
|
204 |
{
|
205 |
"epoch": 2.6395939086294415,
|
206 |
+
"grad_norm": 44.71974182128906,
|
207 |
"learning_rate": 5.346666666666667e-06,
|
208 |
+
"loss": 0.6751,
|
209 |
"step": 2600
|
210 |
},
|
211 |
{
|
212 |
"epoch": 2.7411167512690353,
|
213 |
+
"grad_norm": 41.48170852661133,
|
214 |
"learning_rate": 5.124444444444445e-06,
|
215 |
+
"loss": 0.7676,
|
216 |
"step": 2700
|
217 |
},
|
218 |
{
|
219 |
"epoch": 2.8426395939086295,
|
220 |
+
"grad_norm": 26.747577667236328,
|
221 |
"learning_rate": 4.902222222222222e-06,
|
222 |
+
"loss": 0.7761,
|
223 |
"step": 2800
|
224 |
},
|
225 |
{
|
226 |
"epoch": 2.9441624365482233,
|
227 |
+
"grad_norm": 32.772315979003906,
|
228 |
"learning_rate": 4.680000000000001e-06,
|
229 |
+
"loss": 0.7118,
|
230 |
"step": 2900
|
231 |
},
|
232 |
{
|
233 |
"epoch": 3.045685279187817,
|
234 |
+
"grad_norm": 21.70656394958496,
|
235 |
"learning_rate": 4.457777777777778e-06,
|
236 |
+
"loss": 0.5248,
|
237 |
"step": 3000
|
238 |
},
|
239 |
{
|
240 |
"epoch": 3.045685279187817,
|
241 |
+
"eval_loss": 2.0790176391601562,
|
242 |
+
"eval_runtime": 144.8403,
|
243 |
+
"eval_samples_per_second": 3.452,
|
244 |
+
"eval_steps_per_second": 1.726,
|
245 |
+
"eval_wer": 102.40295748613678,
|
246 |
"step": 3000
|
247 |
},
|
248 |
{
|
249 |
"epoch": 3.1472081218274113,
|
250 |
+
"grad_norm": 9.982170104980469,
|
251 |
"learning_rate": 4.235555555555556e-06,
|
252 |
+
"loss": 0.3301,
|
253 |
"step": 3100
|
254 |
},
|
255 |
{
|
256 |
"epoch": 3.248730964467005,
|
257 |
+
"grad_norm": 24.30455780029297,
|
258 |
"learning_rate": 4.013333333333334e-06,
|
259 |
+
"loss": 0.3816,
|
260 |
"step": 3200
|
261 |
},
|
262 |
{
|
263 |
"epoch": 3.350253807106599,
|
264 |
+
"grad_norm": 24.113746643066406,
|
265 |
"learning_rate": 3.7911111111111114e-06,
|
266 |
+
"loss": 0.3361,
|
267 |
"step": 3300
|
268 |
},
|
269 |
{
|
270 |
"epoch": 3.451776649746193,
|
271 |
+
"grad_norm": 22.453857421875,
|
272 |
"learning_rate": 3.568888888888889e-06,
|
273 |
+
"loss": 0.3467,
|
274 |
"step": 3400
|
275 |
},
|
276 |
{
|
277 |
"epoch": 3.553299492385787,
|
278 |
+
"grad_norm": 24.7720890045166,
|
279 |
"learning_rate": 3.346666666666667e-06,
|
280 |
+
"loss": 0.3482,
|
281 |
"step": 3500
|
282 |
},
|
283 |
{
|
284 |
"epoch": 3.6548223350253806,
|
285 |
+
"grad_norm": 43.4873046875,
|
286 |
"learning_rate": 3.124444444444445e-06,
|
287 |
+
"loss": 0.3478,
|
288 |
"step": 3600
|
289 |
},
|
290 |
{
|
291 |
"epoch": 3.7563451776649748,
|
292 |
+
"grad_norm": 3.814992666244507,
|
293 |
"learning_rate": 2.9022222222222223e-06,
|
294 |
+
"loss": 0.3032,
|
295 |
"step": 3700
|
296 |
},
|
297 |
{
|
298 |
"epoch": 3.8578680203045685,
|
299 |
+
"grad_norm": 37.81534194946289,
|
300 |
"learning_rate": 2.68e-06,
|
301 |
+
"loss": 0.345,
|
302 |
"step": 3800
|
303 |
},
|
304 |
{
|
305 |
"epoch": 3.9593908629441623,
|
306 |
+
"grad_norm": 19.950551986694336,
|
307 |
"learning_rate": 2.457777777777778e-06,
|
308 |
+
"loss": 0.3034,
|
309 |
"step": 3900
|
310 |
},
|
311 |
{
|
312 |
"epoch": 4.060913705583756,
|
313 |
+
"grad_norm": 16.985504150390625,
|
314 |
"learning_rate": 2.235555555555556e-06,
|
315 |
+
"loss": 0.2094,
|
316 |
"step": 4000
|
317 |
},
|
318 |
{
|
319 |
"epoch": 4.060913705583756,
|
320 |
+
"eval_loss": 2.170118570327759,
|
321 |
+
"eval_runtime": 149.7563,
|
322 |
+
"eval_samples_per_second": 3.339,
|
323 |
+
"eval_steps_per_second": 1.669,
|
324 |
+
"eval_wer": 104.25138632162663,
|
325 |
"step": 4000
|
326 |
},
|
327 |
{
|
328 |
"epoch": 4.16243654822335,
|
329 |
+
"grad_norm": 2.7009530067443848,
|
330 |
"learning_rate": 2.0133333333333337e-06,
|
331 |
+
"loss": 0.1653,
|
332 |
"step": 4100
|
333 |
},
|
334 |
{
|
335 |
"epoch": 4.2639593908629445,
|
336 |
+
"grad_norm": 13.782865524291992,
|
337 |
"learning_rate": 1.7911111111111113e-06,
|
338 |
+
"loss": 0.1452,
|
339 |
"step": 4200
|
340 |
},
|
341 |
{
|
342 |
"epoch": 4.365482233502538,
|
343 |
+
"grad_norm": 1.5806851387023926,
|
344 |
"learning_rate": 1.568888888888889e-06,
|
345 |
+
"loss": 0.1592,
|
346 |
"step": 4300
|
347 |
},
|
348 |
{
|
349 |
"epoch": 4.467005076142132,
|
350 |
+
"grad_norm": 24.59062385559082,
|
351 |
"learning_rate": 1.3466666666666668e-06,
|
352 |
+
"loss": 0.1237,
|
353 |
"step": 4400
|
354 |
},
|
355 |
{
|
356 |
"epoch": 4.568527918781726,
|
357 |
+
"grad_norm": 2.7841851711273193,
|
358 |
"learning_rate": 1.1244444444444446e-06,
|
359 |
+
"loss": 0.1769,
|
360 |
"step": 4500
|
361 |
},
|
362 |
{
|
363 |
"epoch": 4.67005076142132,
|
364 |
+
"grad_norm": 28.819316864013672,
|
365 |
"learning_rate": 9.022222222222222e-07,
|
366 |
+
"loss": 0.1924,
|
367 |
"step": 4600
|
368 |
},
|
369 |
{
|
370 |
"epoch": 4.771573604060913,
|
371 |
+
"grad_norm": 3.3646578788757324,
|
372 |
"learning_rate": 6.800000000000001e-07,
|
373 |
+
"loss": 0.1519,
|
374 |
"step": 4700
|
375 |
},
|
376 |
{
|
377 |
"epoch": 4.873096446700508,
|
378 |
+
"grad_norm": 2.5224194526672363,
|
379 |
"learning_rate": 4.5777777777777784e-07,
|
380 |
+
"loss": 0.1475,
|
381 |
"step": 4800
|
382 |
},
|
383 |
{
|
384 |
"epoch": 4.974619289340102,
|
385 |
+
"grad_norm": 16.98265266418457,
|
386 |
"learning_rate": 2.3555555555555556e-07,
|
387 |
+
"loss": 0.1399,
|
388 |
"step": 4900
|
389 |
},
|
390 |
{
|
391 |
"epoch": 5.0761421319796955,
|
392 |
+
"grad_norm": 1.581084132194519,
|
393 |
"learning_rate": 1.3333333333333334e-08,
|
394 |
+
"loss": 0.086,
|
395 |
"step": 5000
|
396 |
},
|
397 |
{
|
398 |
"epoch": 5.0761421319796955,
|
399 |
+
"eval_loss": 2.2253828048706055,
|
400 |
+
"eval_runtime": 370.0172,
|
401 |
+
"eval_samples_per_second": 1.351,
|
402 |
+
"eval_steps_per_second": 0.676,
|
403 |
+
"eval_wer": 106.28465804066542,
|
404 |
"step": 5000
|
405 |
},
|
406 |
{
|
407 |
"epoch": 5.0761421319796955,
|
408 |
"step": 5000,
|
409 |
"total_flos": 2.8844110761984e+18,
|
410 |
+
"train_loss": 0.9472008905410767,
|
411 |
+
"train_runtime": 3309.5787,
|
412 |
+
"train_samples_per_second": 3.022,
|
413 |
+
"train_steps_per_second": 1.511
|
414 |
}
|
415 |
],
|
416 |
"logging_steps": 100,
|