DewiBrynJones
commited on
Commit
•
fe8fd2a
1
Parent(s):
196288f
End of training
Browse files- README.md +3 -1
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/May28_06-22-08_5cce808c63ba/events.out.tfevents.1716913381.5cce808c63ba.722.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +810 -290
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/wav2vec2-large-xlsr-53
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- wer
|
@@ -15,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# wav2vec2-xlsr-53-ft-btb-ccv-cy
|
17 |
|
18 |
-
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 2.8074
|
21 |
- Wer: 0.9983
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/wav2vec2-large-xlsr-53
|
4 |
tags:
|
5 |
+
- automatic-speech-recognition
|
6 |
+
- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- wer
|
|
|
17 |
|
18 |
# wav2vec2-xlsr-53-ft-btb-ccv-cy
|
19 |
|
20 |
+
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
- Loss: 2.8074
|
23 |
- Wer: 0.9983
|
all_results.json
CHANGED
@@ -1,15 +1,15 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 5656,
|
6 |
-
"eval_samples_per_second": 36.
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
-
"eval_wer": 0.
|
9 |
-
"total_flos":
|
10 |
-
"train_loss":
|
11 |
-
"train_runtime":
|
12 |
"train_samples": 112985,
|
13 |
-
"train_samples_per_second": 16.
|
14 |
-
"train_steps_per_second": 0.
|
15 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.662514156285391,
|
3 |
+
"eval_loss": 2.807446241378784,
|
4 |
+
"eval_runtime": 152.9951,
|
5 |
"eval_samples": 5656,
|
6 |
+
"eval_samples_per_second": 36.968,
|
7 |
+
"eval_steps_per_second": 4.621,
|
8 |
+
"eval_wer": 0.998266758678243,
|
9 |
+
"total_flos": 9.138710330328565e+19,
|
10 |
+
"train_loss": 1.1088516311645509,
|
11 |
+
"train_runtime": 39423.4073,
|
12 |
"train_samples": 112985,
|
13 |
+
"train_samples_per_second": 16.234,
|
14 |
+
"train_steps_per_second": 0.254
|
15 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 5656,
|
6 |
-
"eval_samples_per_second": 36.
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
-
"eval_wer": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.662514156285391,
|
3 |
+
"eval_loss": 2.807446241378784,
|
4 |
+
"eval_runtime": 152.9951,
|
5 |
"eval_samples": 5656,
|
6 |
+
"eval_samples_per_second": 36.968,
|
7 |
+
"eval_steps_per_second": 4.621,
|
8 |
+
"eval_wer": 0.998266758678243
|
9 |
}
|
runs/May28_06-22-08_5cce808c63ba/events.out.tfevents.1716913381.5cce808c63ba.722.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c2f562d657b935478e0770e132f4a3fc213931aeca640f4420911659814b360
|
3 |
+
size 406
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 112985,
|
7 |
-
"train_samples_per_second": 16.
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 5.662514156285391,
|
3 |
+
"total_flos": 9.138710330328565e+19,
|
4 |
+
"train_loss": 1.1088516311645509,
|
5 |
+
"train_runtime": 39423.4073,
|
6 |
"train_samples": 112985,
|
7 |
+
"train_samples_per_second": 16.234,
|
8 |
+
"train_steps_per_second": 0.254
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,549 +1,1069 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.056625141562853906,
|
13 |
-
"eval_loss":
|
14 |
-
"eval_runtime":
|
15 |
-
"eval_samples_per_second": 37.
|
16 |
-
"eval_steps_per_second": 4.
|
17 |
"eval_wer": 1.0,
|
18 |
"step": 100
|
19 |
},
|
20 |
{
|
21 |
"epoch": 0.11325028312570781,
|
22 |
-
"eval_loss": 3.
|
23 |
-
"eval_runtime":
|
24 |
-
"eval_samples_per_second":
|
25 |
-
"eval_steps_per_second": 4.
|
26 |
"eval_wer": 1.0,
|
27 |
"step": 200
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.16987542468856173,
|
31 |
-
"eval_loss":
|
32 |
-
"eval_runtime":
|
33 |
-
"eval_samples_per_second":
|
34 |
-
"eval_steps_per_second": 4.
|
35 |
-
"eval_wer": 0
|
36 |
"step": 300
|
37 |
},
|
38 |
{
|
39 |
"epoch": 0.22650056625141562,
|
40 |
-
"eval_loss":
|
41 |
-
"eval_runtime":
|
42 |
-
"eval_samples_per_second": 37.
|
43 |
-
"eval_steps_per_second": 4.
|
44 |
-
"eval_wer": 0.
|
45 |
"step": 400
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.28312570781426954,
|
49 |
-
"grad_norm": 1.
|
50 |
-
"learning_rate": 0.
|
51 |
-
"loss":
|
52 |
"step": 500
|
53 |
},
|
54 |
{
|
55 |
"epoch": 0.28312570781426954,
|
56 |
-
"eval_loss":
|
57 |
-
"eval_runtime":
|
58 |
-
"eval_samples_per_second": 37.
|
59 |
-
"eval_steps_per_second": 4.
|
60 |
-
"eval_wer": 0.
|
61 |
"step": 500
|
62 |
},
|
63 |
{
|
64 |
"epoch": 0.33975084937712347,
|
65 |
-
"eval_loss": 0.
|
66 |
-
"eval_runtime":
|
67 |
-
"eval_samples_per_second": 37.
|
68 |
-
"eval_steps_per_second": 4.
|
69 |
-
"eval_wer": 0.
|
70 |
"step": 600
|
71 |
},
|
72 |
{
|
73 |
"epoch": 0.39637599093997733,
|
74 |
-
"eval_loss": 0.
|
75 |
-
"eval_runtime":
|
76 |
-
"eval_samples_per_second":
|
77 |
-
"eval_steps_per_second": 4.
|
78 |
-
"eval_wer": 0.
|
79 |
"step": 700
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.45300113250283125,
|
83 |
-
"eval_loss": 0.
|
84 |
-
"eval_runtime":
|
85 |
-
"eval_samples_per_second":
|
86 |
-
"eval_steps_per_second": 4.
|
87 |
-
"eval_wer": 0.
|
88 |
"step": 800
|
89 |
},
|
90 |
{
|
91 |
"epoch": 0.5096262740656852,
|
92 |
-
"eval_loss": 0.
|
93 |
-
"eval_runtime":
|
94 |
-
"eval_samples_per_second":
|
95 |
-
"eval_steps_per_second": 4.
|
96 |
-
"eval_wer": 0.
|
97 |
"step": 900
|
98 |
},
|
99 |
{
|
100 |
"epoch": 0.5662514156285391,
|
101 |
-
"grad_norm": 1.
|
102 |
-
"learning_rate": 0.
|
103 |
-
"loss": 0.
|
104 |
"step": 1000
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.5662514156285391,
|
108 |
-
"eval_loss": 0.
|
109 |
-
"eval_runtime": 152.
|
110 |
-
"eval_samples_per_second": 36.
|
111 |
-
"eval_steps_per_second": 4.
|
112 |
-
"eval_wer": 0.
|
113 |
"step": 1000
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.622876557191393,
|
117 |
-
"eval_loss": 0.
|
118 |
-
"eval_runtime":
|
119 |
-
"eval_samples_per_second":
|
120 |
-
"eval_steps_per_second": 4.
|
121 |
-
"eval_wer": 0.
|
122 |
"step": 1100
|
123 |
},
|
124 |
{
|
125 |
"epoch": 0.6795016987542469,
|
126 |
-
"eval_loss": 0.
|
127 |
-
"eval_runtime":
|
128 |
-
"eval_samples_per_second":
|
129 |
-
"eval_steps_per_second": 4.
|
130 |
-
"eval_wer": 0.
|
131 |
"step": 1200
|
132 |
},
|
133 |
{
|
134 |
"epoch": 0.7361268403171007,
|
135 |
-
"eval_loss": 0.
|
136 |
-
"eval_runtime":
|
137 |
-
"eval_samples_per_second":
|
138 |
-
"eval_steps_per_second": 4.
|
139 |
-
"eval_wer": 0.
|
140 |
"step": 1300
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.7927519818799547,
|
144 |
-
"eval_loss": 0.
|
145 |
-
"eval_runtime":
|
146 |
-
"eval_samples_per_second": 36.
|
147 |
-
"eval_steps_per_second": 4.
|
148 |
-
"eval_wer": 0.
|
149 |
"step": 1400
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.8493771234428086,
|
153 |
-
"grad_norm": 1.
|
154 |
-
"learning_rate": 0.
|
155 |
-
"loss": 0.
|
156 |
"step": 1500
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.8493771234428086,
|
160 |
-
"eval_loss": 0.
|
161 |
-
"eval_runtime":
|
162 |
-
"eval_samples_per_second": 36.
|
163 |
-
"eval_steps_per_second": 4.
|
164 |
-
"eval_wer": 0.
|
165 |
"step": 1500
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.9060022650056625,
|
169 |
-
"eval_loss": 0.
|
170 |
-
"eval_runtime":
|
171 |
-
"eval_samples_per_second":
|
172 |
-
"eval_steps_per_second": 4.
|
173 |
-
"eval_wer": 0.
|
174 |
"step": 1600
|
175 |
},
|
176 |
{
|
177 |
"epoch": 0.9626274065685164,
|
178 |
-
"eval_loss": 0.
|
179 |
-
"eval_runtime":
|
180 |
-
"eval_samples_per_second":
|
181 |
-
"eval_steps_per_second": 4.
|
182 |
-
"eval_wer": 0.
|
183 |
"step": 1700
|
184 |
},
|
185 |
{
|
186 |
"epoch": 1.0192525481313703,
|
187 |
-
"eval_loss": 0.
|
188 |
-
"eval_runtime":
|
189 |
-
"eval_samples_per_second":
|
190 |
-
"eval_steps_per_second": 4.
|
191 |
-
"eval_wer": 0.
|
192 |
"step": 1800
|
193 |
},
|
194 |
{
|
195 |
"epoch": 1.0758776896942241,
|
196 |
-
"eval_loss": 0.
|
197 |
-
"eval_runtime":
|
198 |
-
"eval_samples_per_second": 36.
|
199 |
-
"eval_steps_per_second": 4.
|
200 |
-
"eval_wer": 0.
|
201 |
"step": 1900
|
202 |
},
|
203 |
{
|
204 |
"epoch": 1.1325028312570782,
|
205 |
-
"grad_norm": 0.
|
206 |
-
"learning_rate": 0.
|
207 |
-
"loss": 0.
|
208 |
"step": 2000
|
209 |
},
|
210 |
{
|
211 |
"epoch": 1.1325028312570782,
|
212 |
-
"eval_loss": 0.
|
213 |
-
"eval_runtime": 153.
|
214 |
-
"eval_samples_per_second": 36.
|
215 |
-
"eval_steps_per_second": 4.
|
216 |
-
"eval_wer": 0.
|
217 |
"step": 2000
|
218 |
},
|
219 |
{
|
220 |
"epoch": 1.189127972819932,
|
221 |
-
"eval_loss": 0.
|
222 |
-
"eval_runtime": 153.
|
223 |
-
"eval_samples_per_second": 36.
|
224 |
-
"eval_steps_per_second": 4.
|
225 |
-
"eval_wer": 0.
|
226 |
"step": 2100
|
227 |
},
|
228 |
{
|
229 |
"epoch": 1.245753114382786,
|
230 |
-
"eval_loss": 0.
|
231 |
-
"eval_runtime": 152.
|
232 |
-
"eval_samples_per_second":
|
233 |
-
"eval_steps_per_second": 4.
|
234 |
-
"eval_wer": 0.
|
235 |
"step": 2200
|
236 |
},
|
237 |
{
|
238 |
"epoch": 1.3023782559456398,
|
239 |
-
"eval_loss": 0.
|
240 |
-
"eval_runtime":
|
241 |
-
"eval_samples_per_second":
|
242 |
-
"eval_steps_per_second": 4.
|
243 |
-
"eval_wer": 0.
|
244 |
"step": 2300
|
245 |
},
|
246 |
{
|
247 |
"epoch": 1.3590033975084936,
|
248 |
-
"eval_loss": 0.
|
249 |
-
"eval_runtime":
|
250 |
-
"eval_samples_per_second":
|
251 |
-
"eval_steps_per_second": 4.
|
252 |
-
"eval_wer": 0.
|
253 |
"step": 2400
|
254 |
},
|
255 |
{
|
256 |
"epoch": 1.4156285390713477,
|
257 |
-
"grad_norm": 0.
|
258 |
-
"learning_rate": 0.
|
259 |
-
"loss": 0.
|
260 |
"step": 2500
|
261 |
},
|
262 |
{
|
263 |
"epoch": 1.4156285390713477,
|
264 |
-
"eval_loss": 0.
|
265 |
-
"eval_runtime":
|
266 |
-
"eval_samples_per_second":
|
267 |
-
"eval_steps_per_second": 4.
|
268 |
-
"eval_wer": 0.
|
269 |
"step": 2500
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.4722536806342017,
|
273 |
-
"eval_loss": 0.
|
274 |
-
"eval_runtime":
|
275 |
-
"eval_samples_per_second":
|
276 |
-
"eval_steps_per_second": 4.
|
277 |
-
"eval_wer": 0.
|
278 |
"step": 2600
|
279 |
},
|
280 |
{
|
281 |
"epoch": 1.5288788221970555,
|
282 |
-
"eval_loss": 0.
|
283 |
-
"eval_runtime":
|
284 |
-
"eval_samples_per_second":
|
285 |
-
"eval_steps_per_second": 4.
|
286 |
-
"eval_wer": 0.
|
287 |
"step": 2700
|
288 |
},
|
289 |
{
|
290 |
"epoch": 1.5855039637599093,
|
291 |
-
"eval_loss": 0.
|
292 |
-
"eval_runtime":
|
293 |
-
"eval_samples_per_second":
|
294 |
-
"eval_steps_per_second": 4.
|
295 |
-
"eval_wer": 0.
|
296 |
"step": 2800
|
297 |
},
|
298 |
{
|
299 |
"epoch": 1.6421291053227633,
|
300 |
-
"eval_loss": 0.
|
301 |
-
"eval_runtime":
|
302 |
-
"eval_samples_per_second":
|
303 |
-
"eval_steps_per_second": 4.
|
304 |
-
"eval_wer": 0.
|
305 |
"step": 2900
|
306 |
},
|
307 |
{
|
308 |
"epoch": 1.6987542468856174,
|
309 |
-
"grad_norm":
|
310 |
-
"learning_rate": 0.
|
311 |
-
"loss": 0.
|
312 |
"step": 3000
|
313 |
},
|
314 |
{
|
315 |
"epoch": 1.6987542468856174,
|
316 |
-
"eval_loss": 0.
|
317 |
-
"eval_runtime": 152.
|
318 |
-
"eval_samples_per_second": 37.
|
319 |
-
"eval_steps_per_second": 4.
|
320 |
-
"eval_wer": 0.
|
321 |
"step": 3000
|
322 |
},
|
323 |
{
|
324 |
"epoch": 1.7553793884484712,
|
325 |
-
"eval_loss": 0.
|
326 |
-
"eval_runtime":
|
327 |
-
"eval_samples_per_second":
|
328 |
-
"eval_steps_per_second": 4.
|
329 |
-
"eval_wer": 0.
|
330 |
"step": 3100
|
331 |
},
|
332 |
{
|
333 |
"epoch": 1.812004530011325,
|
334 |
-
"eval_loss": 0.
|
335 |
-
"eval_runtime":
|
336 |
-
"eval_samples_per_second":
|
337 |
-
"eval_steps_per_second": 4.
|
338 |
-
"eval_wer": 0.
|
339 |
"step": 3200
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.8686296715741788,
|
343 |
-
"eval_loss": 0.
|
344 |
-
"eval_runtime":
|
345 |
-
"eval_samples_per_second": 37.
|
346 |
-
"eval_steps_per_second": 4.
|
347 |
-
"eval_wer": 0.
|
348 |
"step": 3300
|
349 |
},
|
350 |
{
|
351 |
"epoch": 1.9252548131370328,
|
352 |
-
"eval_loss": 0.
|
353 |
-
"eval_runtime":
|
354 |
-
"eval_samples_per_second":
|
355 |
-
"eval_steps_per_second": 4.
|
356 |
-
"eval_wer": 0.
|
357 |
"step": 3400
|
358 |
},
|
359 |
{
|
360 |
"epoch": 1.9818799546998869,
|
361 |
-
"grad_norm":
|
362 |
-
"learning_rate": 0.
|
363 |
-
"loss": 0.
|
364 |
"step": 3500
|
365 |
},
|
366 |
{
|
367 |
"epoch": 1.9818799546998869,
|
368 |
-
"eval_loss": 0.
|
369 |
-
"eval_runtime":
|
370 |
-
"eval_samples_per_second": 37.
|
371 |
-
"eval_steps_per_second": 4.
|
372 |
-
"eval_wer": 0.
|
373 |
"step": 3500
|
374 |
},
|
375 |
{
|
376 |
"epoch": 2.0385050962627407,
|
377 |
-
"eval_loss": 0.
|
378 |
-
"eval_runtime":
|
379 |
-
"eval_samples_per_second": 37.
|
380 |
-
"eval_steps_per_second": 4.
|
381 |
-
"eval_wer": 0.
|
382 |
"step": 3600
|
383 |
},
|
384 |
{
|
385 |
"epoch": 2.0951302378255945,
|
386 |
-
"eval_loss": 0.
|
387 |
-
"eval_runtime":
|
388 |
-
"eval_samples_per_second": 37.
|
389 |
-
"eval_steps_per_second": 4.
|
390 |
-
"eval_wer": 0.
|
391 |
"step": 3700
|
392 |
},
|
393 |
{
|
394 |
"epoch": 2.1517553793884483,
|
395 |
-
"eval_loss": 0.
|
396 |
-
"eval_runtime":
|
397 |
-
"eval_samples_per_second": 37.
|
398 |
-
"eval_steps_per_second": 4.
|
399 |
-
"eval_wer": 0.
|
400 |
"step": 3800
|
401 |
},
|
402 |
{
|
403 |
"epoch": 2.2083805209513026,
|
404 |
-
"eval_loss": 0.
|
405 |
-
"eval_runtime": 151.
|
406 |
-
"eval_samples_per_second": 37.
|
407 |
-
"eval_steps_per_second": 4.
|
408 |
-
"eval_wer": 0.
|
409 |
"step": 3900
|
410 |
},
|
411 |
{
|
412 |
"epoch": 2.2650056625141564,
|
413 |
-
"grad_norm":
|
414 |
-
"learning_rate":
|
415 |
-
"loss": 0.
|
416 |
"step": 4000
|
417 |
},
|
418 |
{
|
419 |
"epoch": 2.2650056625141564,
|
420 |
-
"eval_loss": 0.
|
421 |
-
"eval_runtime": 151.
|
422 |
-
"eval_samples_per_second": 37.
|
423 |
-
"eval_steps_per_second": 4.
|
424 |
-
"eval_wer": 0.
|
425 |
"step": 4000
|
426 |
},
|
427 |
{
|
428 |
"epoch": 2.32163080407701,
|
429 |
-
"eval_loss": 0.
|
430 |
-
"eval_runtime": 151.
|
431 |
-
"eval_samples_per_second": 37.
|
432 |
-
"eval_steps_per_second": 4.
|
433 |
-
"eval_wer": 0.
|
434 |
"step": 4100
|
435 |
},
|
436 |
{
|
437 |
"epoch": 2.378255945639864,
|
438 |
-
"eval_loss": 0.
|
439 |
-
"eval_runtime": 151.
|
440 |
-
"eval_samples_per_second": 37.
|
441 |
-
"eval_steps_per_second": 4.
|
442 |
-
"eval_wer": 0.
|
443 |
"step": 4200
|
444 |
},
|
445 |
{
|
446 |
"epoch": 2.434881087202718,
|
447 |
-
"eval_loss": 0.
|
448 |
-
"eval_runtime": 151.
|
449 |
-
"eval_samples_per_second": 37.
|
450 |
-
"eval_steps_per_second": 4.
|
451 |
-
"eval_wer": 0.
|
452 |
"step": 4300
|
453 |
},
|
454 |
{
|
455 |
"epoch": 2.491506228765572,
|
456 |
-
"eval_loss": 0.
|
457 |
-
"eval_runtime":
|
458 |
-
"eval_samples_per_second": 37.
|
459 |
-
"eval_steps_per_second": 4.
|
460 |
-
"eval_wer": 0.
|
461 |
"step": 4400
|
462 |
},
|
463 |
{
|
464 |
"epoch": 2.548131370328426,
|
465 |
-
"grad_norm": 1.
|
466 |
-
"learning_rate":
|
467 |
-
"loss": 0.
|
468 |
"step": 4500
|
469 |
},
|
470 |
{
|
471 |
"epoch": 2.548131370328426,
|
472 |
-
"eval_loss": 0.
|
473 |
-
"eval_runtime":
|
474 |
-
"eval_samples_per_second":
|
475 |
-
"eval_steps_per_second": 4.
|
476 |
-
"eval_wer": 0.
|
477 |
"step": 4500
|
478 |
},
|
479 |
{
|
480 |
"epoch": 2.6047565118912797,
|
481 |
-
"eval_loss": 0.
|
482 |
-
"eval_runtime": 151.
|
483 |
-
"eval_samples_per_second": 37.
|
484 |
-
"eval_steps_per_second": 4.
|
485 |
-
"eval_wer": 0.
|
486 |
"step": 4600
|
487 |
},
|
488 |
{
|
489 |
"epoch": 2.661381653454134,
|
490 |
-
"eval_loss": 0.
|
491 |
-
"eval_runtime": 151.
|
492 |
-
"eval_samples_per_second": 37.
|
493 |
-
"eval_steps_per_second": 4.
|
494 |
-
"eval_wer": 0.
|
495 |
"step": 4700
|
496 |
},
|
497 |
{
|
498 |
"epoch": 2.7180067950169873,
|
499 |
-
"eval_loss": 0.
|
500 |
-
"eval_runtime": 152.
|
501 |
-
"eval_samples_per_second": 37.
|
502 |
-
"eval_steps_per_second": 4.
|
503 |
-
"eval_wer": 0.
|
504 |
"step": 4800
|
505 |
},
|
506 |
{
|
507 |
"epoch": 2.7746319365798415,
|
508 |
-
"eval_loss": 0.
|
509 |
-
"eval_runtime": 152.
|
510 |
-
"eval_samples_per_second": 37.
|
511 |
-
"eval_steps_per_second": 4.
|
512 |
-
"eval_wer": 0.
|
513 |
"step": 4900
|
514 |
},
|
515 |
{
|
516 |
"epoch": 2.8312570781426953,
|
517 |
-
"grad_norm": 0.
|
518 |
-
"learning_rate":
|
519 |
-
"loss": 0.
|
520 |
"step": 5000
|
521 |
},
|
522 |
{
|
523 |
"epoch": 2.8312570781426953,
|
524 |
-
"eval_loss": 0.
|
525 |
-
"eval_runtime":
|
526 |
-
"eval_samples_per_second": 37.
|
527 |
-
"eval_steps_per_second": 4.
|
528 |
-
"eval_wer": 0.
|
529 |
"step": 5000
|
530 |
},
|
531 |
{
|
532 |
-
"epoch": 2.
|
533 |
-
"
|
534 |
-
"
|
535 |
-
"
|
536 |
-
"
|
537 |
-
"
|
538 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
539 |
}
|
540 |
],
|
541 |
"logging_steps": 500,
|
542 |
-
"max_steps":
|
543 |
"num_input_tokens_seen": 0,
|
544 |
-
"num_train_epochs":
|
545 |
"save_steps": 400,
|
546 |
-
"total_flos":
|
547 |
"train_batch_size": 64,
|
548 |
"trial_name": null,
|
549 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.662514156285391,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 10000,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.056625141562853906,
|
13 |
+
"eval_loss": 4.158196449279785,
|
14 |
+
"eval_runtime": 151.6577,
|
15 |
+
"eval_samples_per_second": 37.295,
|
16 |
+
"eval_steps_per_second": 4.662,
|
17 |
"eval_wer": 1.0,
|
18 |
"step": 100
|
19 |
},
|
20 |
{
|
21 |
"epoch": 0.11325028312570781,
|
22 |
+
"eval_loss": 3.127609968185425,
|
23 |
+
"eval_runtime": 148.7785,
|
24 |
+
"eval_samples_per_second": 38.016,
|
25 |
+
"eval_steps_per_second": 4.752,
|
26 |
"eval_wer": 1.0,
|
27 |
"step": 200
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.16987542468856173,
|
31 |
+
"eval_loss": 3.407195568084717,
|
32 |
+
"eval_runtime": 152.9346,
|
33 |
+
"eval_samples_per_second": 36.983,
|
34 |
+
"eval_steps_per_second": 4.623,
|
35 |
+
"eval_wer": 1.0,
|
36 |
"step": 300
|
37 |
},
|
38 |
{
|
39 |
"epoch": 0.22650056625141562,
|
40 |
+
"eval_loss": 2.1966774463653564,
|
41 |
+
"eval_runtime": 150.1881,
|
42 |
+
"eval_samples_per_second": 37.659,
|
43 |
+
"eval_steps_per_second": 4.707,
|
44 |
+
"eval_wer": 0.9898733770923271,
|
45 |
"step": 400
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.28312570781426954,
|
49 |
+
"grad_norm": 1.805786371231079,
|
50 |
+
"learning_rate": 0.0001491,
|
51 |
+
"loss": 4.6703,
|
52 |
"step": 500
|
53 |
},
|
54 |
{
|
55 |
"epoch": 0.28312570781426954,
|
56 |
+
"eval_loss": 1.0575733184814453,
|
57 |
+
"eval_runtime": 149.8633,
|
58 |
+
"eval_samples_per_second": 37.741,
|
59 |
+
"eval_steps_per_second": 4.718,
|
60 |
+
"eval_wer": 0.7174335189613391,
|
61 |
"step": 500
|
62 |
},
|
63 |
{
|
64 |
"epoch": 0.33975084937712347,
|
65 |
+
"eval_loss": 0.8877128958702087,
|
66 |
+
"eval_runtime": 152.3639,
|
67 |
+
"eval_samples_per_second": 37.122,
|
68 |
+
"eval_steps_per_second": 4.64,
|
69 |
+
"eval_wer": 0.640464765450723,
|
70 |
"step": 600
|
71 |
},
|
72 |
{
|
73 |
"epoch": 0.39637599093997733,
|
74 |
+
"eval_loss": 0.7894217371940613,
|
75 |
+
"eval_runtime": 156.1616,
|
76 |
+
"eval_samples_per_second": 36.219,
|
77 |
+
"eval_steps_per_second": 4.527,
|
78 |
+
"eval_wer": 0.5861244403074899,
|
79 |
"step": 700
|
80 |
},
|
81 |
{
|
82 |
"epoch": 0.45300113250283125,
|
83 |
+
"eval_loss": 0.7698957324028015,
|
84 |
+
"eval_runtime": 153.3515,
|
85 |
+
"eval_samples_per_second": 36.883,
|
86 |
+
"eval_steps_per_second": 4.61,
|
87 |
+
"eval_wer": 0.5876650992601627,
|
88 |
"step": 800
|
89 |
},
|
90 |
{
|
91 |
"epoch": 0.5096262740656852,
|
92 |
+
"eval_loss": 0.7604610919952393,
|
93 |
+
"eval_runtime": 153.0775,
|
94 |
+
"eval_samples_per_second": 36.949,
|
95 |
+
"eval_steps_per_second": 4.619,
|
96 |
+
"eval_wer": 0.5402577394039576,
|
97 |
"step": 900
|
98 |
},
|
99 |
{
|
100 |
"epoch": 0.5662514156285391,
|
101 |
+
"grad_norm": 1.723030686378479,
|
102 |
+
"learning_rate": 0.0002988,
|
103 |
+
"loss": 0.5242,
|
104 |
"step": 1000
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.5662514156285391,
|
108 |
+
"eval_loss": 0.742854654788971,
|
109 |
+
"eval_runtime": 152.8719,
|
110 |
+
"eval_samples_per_second": 36.998,
|
111 |
+
"eval_steps_per_second": 4.625,
|
112 |
+
"eval_wer": 0.5494856445892379,
|
113 |
"step": 1000
|
114 |
},
|
115 |
{
|
116 |
"epoch": 0.622876557191393,
|
117 |
+
"eval_loss": 0.6761639714241028,
|
118 |
+
"eval_runtime": 152.3166,
|
119 |
+
"eval_samples_per_second": 37.133,
|
120 |
+
"eval_steps_per_second": 4.642,
|
121 |
+
"eval_wer": 0.5081125322976682,
|
122 |
"step": 1100
|
123 |
},
|
124 |
{
|
125 |
"epoch": 0.6795016987542469,
|
126 |
+
"eval_loss": 0.67025226354599,
|
127 |
+
"eval_runtime": 153.9119,
|
128 |
+
"eval_samples_per_second": 36.748,
|
129 |
+
"eval_steps_per_second": 4.594,
|
130 |
+
"eval_wer": 0.5071977660445186,
|
131 |
"step": 1200
|
132 |
},
|
133 |
{
|
134 |
"epoch": 0.7361268403171007,
|
135 |
+
"eval_loss": 0.6186646223068237,
|
136 |
+
"eval_runtime": 155.1162,
|
137 |
+
"eval_samples_per_second": 36.463,
|
138 |
+
"eval_steps_per_second": 4.558,
|
139 |
+
"eval_wer": 0.4623421225786779,
|
140 |
"step": 1300
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.7927519818799547,
|
144 |
+
"eval_loss": 0.6205167174339294,
|
145 |
+
"eval_runtime": 155.3219,
|
146 |
+
"eval_samples_per_second": 36.415,
|
147 |
+
"eval_steps_per_second": 4.552,
|
148 |
+
"eval_wer": 0.4741698897465937,
|
149 |
"step": 1400
|
150 |
},
|
151 |
{
|
152 |
"epoch": 0.8493771234428086,
|
153 |
+
"grad_norm": 1.6596413850784302,
|
154 |
+
"learning_rate": 0.00028349999999999995,
|
155 |
+
"loss": 0.4093,
|
156 |
"step": 1500
|
157 |
},
|
158 |
{
|
159 |
"epoch": 0.8493771234428086,
|
160 |
+
"eval_loss": 0.6089454889297485,
|
161 |
+
"eval_runtime": 156.2384,
|
162 |
+
"eval_samples_per_second": 36.201,
|
163 |
+
"eval_steps_per_second": 4.525,
|
164 |
+
"eval_wer": 0.46065702684919196,
|
165 |
"step": 1500
|
166 |
},
|
167 |
{
|
168 |
"epoch": 0.9060022650056625,
|
169 |
+
"eval_loss": 0.6079407334327698,
|
170 |
+
"eval_runtime": 151.5221,
|
171 |
+
"eval_samples_per_second": 37.328,
|
172 |
+
"eval_steps_per_second": 4.666,
|
173 |
+
"eval_wer": 0.4563720691370705,
|
174 |
"step": 1600
|
175 |
},
|
176 |
{
|
177 |
"epoch": 0.9626274065685164,
|
178 |
+
"eval_loss": 0.5751839280128479,
|
179 |
+
"eval_runtime": 157.3729,
|
180 |
+
"eval_samples_per_second": 35.94,
|
181 |
+
"eval_steps_per_second": 4.493,
|
182 |
+
"eval_wer": 0.4487169199659771,
|
183 |
"step": 1700
|
184 |
},
|
185 |
{
|
186 |
"epoch": 1.0192525481313703,
|
187 |
+
"eval_loss": 0.5519313812255859,
|
188 |
+
"eval_runtime": 157.5034,
|
189 |
+
"eval_samples_per_second": 35.91,
|
190 |
+
"eval_steps_per_second": 4.489,
|
191 |
+
"eval_wer": 0.41742228498980916,
|
192 |
"step": 1800
|
193 |
},
|
194 |
{
|
195 |
"epoch": 1.0758776896942241,
|
196 |
+
"eval_loss": 0.5467554926872253,
|
197 |
+
"eval_runtime": 156.3131,
|
198 |
+
"eval_samples_per_second": 36.184,
|
199 |
+
"eval_steps_per_second": 4.523,
|
200 |
+
"eval_wer": 0.41071399913337936,
|
201 |
"step": 1900
|
202 |
},
|
203 |
{
|
204 |
"epoch": 1.1325028312570782,
|
205 |
+
"grad_norm": 0.5150347352027893,
|
206 |
+
"learning_rate": 0.0002669,
|
207 |
+
"loss": 0.3366,
|
208 |
"step": 2000
|
209 |
},
|
210 |
{
|
211 |
"epoch": 1.1325028312570782,
|
212 |
+
"eval_loss": 0.5371935963630676,
|
213 |
+
"eval_runtime": 153.7972,
|
214 |
+
"eval_samples_per_second": 36.776,
|
215 |
+
"eval_steps_per_second": 4.597,
|
216 |
+
"eval_wer": 0.4080338944969588,
|
217 |
"step": 2000
|
218 |
},
|
219 |
{
|
220 |
"epoch": 1.189127972819932,
|
221 |
+
"eval_loss": 0.53590327501297,
|
222 |
+
"eval_runtime": 153.8993,
|
223 |
+
"eval_samples_per_second": 36.751,
|
224 |
+
"eval_steps_per_second": 4.594,
|
225 |
+
"eval_wer": 0.40715122530532327,
|
226 |
"step": 2100
|
227 |
},
|
228 |
{
|
229 |
"epoch": 1.245753114382786,
|
230 |
+
"eval_loss": 0.530412495136261,
|
231 |
+
"eval_runtime": 152.2809,
|
232 |
+
"eval_samples_per_second": 37.142,
|
233 |
+
"eval_steps_per_second": 4.643,
|
234 |
+
"eval_wer": 0.4022885204859495,
|
235 |
"step": 2200
|
236 |
},
|
237 |
{
|
238 |
"epoch": 1.3023782559456398,
|
239 |
+
"eval_loss": 0.5311455130577087,
|
240 |
+
"eval_runtime": 152.7946,
|
241 |
+
"eval_samples_per_second": 37.017,
|
242 |
+
"eval_steps_per_second": 4.627,
|
243 |
+
"eval_wer": 0.40111697774068783,
|
244 |
"step": 2300
|
245 |
},
|
246 |
{
|
247 |
"epoch": 1.3590033975084936,
|
248 |
+
"eval_loss": 0.5186213254928589,
|
249 |
+
"eval_runtime": 152.2204,
|
250 |
+
"eval_samples_per_second": 37.157,
|
251 |
+
"eval_steps_per_second": 4.645,
|
252 |
+
"eval_wer": 0.38644862062878144,
|
253 |
"step": 2400
|
254 |
},
|
255 |
{
|
256 |
"epoch": 1.4156285390713477,
|
257 |
+
"grad_norm": 0.7118180394172668,
|
258 |
+
"learning_rate": 0.00025026666666666666,
|
259 |
+
"loss": 0.2939,
|
260 |
"step": 2500
|
261 |
},
|
262 |
{
|
263 |
"epoch": 1.4156285390713477,
|
264 |
+
"eval_loss": 0.5234143733978271,
|
265 |
+
"eval_runtime": 153.4973,
|
266 |
+
"eval_samples_per_second": 36.848,
|
267 |
+
"eval_steps_per_second": 4.606,
|
268 |
+
"eval_wer": 0.3934297315080804,
|
269 |
"step": 2500
|
270 |
},
|
271 |
{
|
272 |
"epoch": 1.4722536806342017,
|
273 |
+
"eval_loss": 0.5212889909744263,
|
274 |
+
"eval_runtime": 153.2132,
|
275 |
+
"eval_samples_per_second": 36.916,
|
276 |
+
"eval_steps_per_second": 4.614,
|
277 |
+
"eval_wer": 0.39726533035900563,
|
278 |
"step": 2600
|
279 |
},
|
280 |
{
|
281 |
"epoch": 1.5288788221970555,
|
282 |
+
"eval_loss": 0.5155624151229858,
|
283 |
+
"eval_runtime": 153.779,
|
284 |
+
"eval_samples_per_second": 36.78,
|
285 |
+
"eval_steps_per_second": 4.598,
|
286 |
+
"eval_wer": 0.3876522604355571,
|
287 |
"step": 2700
|
288 |
},
|
289 |
{
|
290 |
"epoch": 1.5855039637599093,
|
291 |
+
"eval_loss": 0.5052253007888794,
|
292 |
+
"eval_runtime": 153.3545,
|
293 |
+
"eval_samples_per_second": 36.882,
|
294 |
+
"eval_steps_per_second": 4.61,
|
295 |
+
"eval_wer": 0.3897546179647253,
|
296 |
"step": 2800
|
297 |
},
|
298 |
{
|
299 |
"epoch": 1.6421291053227633,
|
300 |
+
"eval_loss": 0.49809539318084717,
|
301 |
+
"eval_runtime": 154.1154,
|
302 |
+
"eval_samples_per_second": 36.7,
|
303 |
+
"eval_steps_per_second": 4.587,
|
304 |
+
"eval_wer": 0.38331915713116466,
|
305 |
"step": 2900
|
306 |
},
|
307 |
{
|
308 |
"epoch": 1.6987542468856174,
|
309 |
+
"grad_norm": 0.7669665217399597,
|
310 |
+
"learning_rate": 0.00023359999999999996,
|
311 |
+
"loss": 0.2838,
|
312 |
"step": 3000
|
313 |
},
|
314 |
{
|
315 |
"epoch": 1.6987542468856174,
|
316 |
+
"eval_loss": 0.49897971749305725,
|
317 |
+
"eval_runtime": 152.4639,
|
318 |
+
"eval_samples_per_second": 37.097,
|
319 |
+
"eval_steps_per_second": 4.637,
|
320 |
+
"eval_wer": 0.380414373064146,
|
321 |
"step": 3000
|
322 |
},
|
323 |
{
|
324 |
"epoch": 1.7553793884484712,
|
325 |
+
"eval_loss": 0.49996882677078247,
|
326 |
+
"eval_runtime": 151.3476,
|
327 |
+
"eval_samples_per_second": 37.371,
|
328 |
+
"eval_steps_per_second": 4.671,
|
329 |
+
"eval_wer": 0.38070324661777216,
|
330 |
"step": 3100
|
331 |
},
|
332 |
{
|
333 |
"epoch": 1.812004530011325,
|
334 |
+
"eval_loss": 0.49606603384017944,
|
335 |
+
"eval_runtime": 151.8767,
|
336 |
+
"eval_samples_per_second": 37.241,
|
337 |
+
"eval_steps_per_second": 4.655,
|
338 |
+
"eval_wer": 0.37513440644508994,
|
339 |
"step": 3200
|
340 |
},
|
341 |
{
|
342 |
"epoch": 1.8686296715741788,
|
343 |
+
"eval_loss": 0.48593518137931824,
|
344 |
+
"eval_runtime": 150.9613,
|
345 |
+
"eval_samples_per_second": 37.467,
|
346 |
+
"eval_steps_per_second": 4.683,
|
347 |
+
"eval_wer": 0.3730962430389498,
|
348 |
"step": 3300
|
349 |
},
|
350 |
{
|
351 |
"epoch": 1.9252548131370328,
|
352 |
+
"eval_loss": 0.481240451335907,
|
353 |
+
"eval_runtime": 151.7124,
|
354 |
+
"eval_samples_per_second": 37.281,
|
355 |
+
"eval_steps_per_second": 4.66,
|
356 |
+
"eval_wer": 0.3657139188907256,
|
357 |
"step": 3400
|
358 |
},
|
359 |
{
|
360 |
"epoch": 1.9818799546998869,
|
361 |
+
"grad_norm": 1.395547866821289,
|
362 |
+
"learning_rate": 0.00021696666666666664,
|
363 |
+
"loss": 0.2694,
|
364 |
"step": 3500
|
365 |
},
|
366 |
{
|
367 |
"epoch": 1.9818799546998869,
|
368 |
+
"eval_loss": 0.47789159417152405,
|
369 |
+
"eval_runtime": 151.9051,
|
370 |
+
"eval_samples_per_second": 37.234,
|
371 |
+
"eval_steps_per_second": 4.654,
|
372 |
+
"eval_wer": 0.36197461122434244,
|
373 |
"step": 3500
|
374 |
},
|
375 |
{
|
376 |
"epoch": 2.0385050962627407,
|
377 |
+
"eval_loss": 0.4943128526210785,
|
378 |
+
"eval_runtime": 152.1624,
|
379 |
+
"eval_samples_per_second": 37.171,
|
380 |
+
"eval_steps_per_second": 4.646,
|
381 |
+
"eval_wer": 0.36325849368490315,
|
382 |
"step": 3600
|
383 |
},
|
384 |
{
|
385 |
"epoch": 2.0951302378255945,
|
386 |
+
"eval_loss": 0.48801928758621216,
|
387 |
+
"eval_runtime": 151.6345,
|
388 |
+
"eval_samples_per_second": 37.3,
|
389 |
+
"eval_steps_per_second": 4.663,
|
390 |
+
"eval_wer": 0.3677360337661087,
|
391 |
"step": 3700
|
392 |
},
|
393 |
{
|
394 |
"epoch": 2.1517553793884483,
|
395 |
+
"eval_loss": 0.49899762868881226,
|
396 |
+
"eval_runtime": 151.9237,
|
397 |
+
"eval_samples_per_second": 37.229,
|
398 |
+
"eval_steps_per_second": 4.654,
|
399 |
+
"eval_wer": 0.3661632777519218,
|
400 |
"step": 3800
|
401 |
},
|
402 |
{
|
403 |
"epoch": 2.2083805209513026,
|
404 |
+
"eval_loss": 0.5101335644721985,
|
405 |
+
"eval_runtime": 151.3463,
|
406 |
+
"eval_samples_per_second": 37.371,
|
407 |
+
"eval_steps_per_second": 4.671,
|
408 |
+
"eval_wer": 0.36991863394906194,
|
409 |
"step": 3900
|
410 |
},
|
411 |
{
|
412 |
"epoch": 2.2650056625141564,
|
413 |
+
"grad_norm": 1.0641744136810303,
|
414 |
+
"learning_rate": 0.00020036666666666664,
|
415 |
+
"loss": 0.2419,
|
416 |
"step": 4000
|
417 |
},
|
418 |
{
|
419 |
"epoch": 2.2650056625141564,
|
420 |
+
"eval_loss": 0.5392731428146362,
|
421 |
+
"eval_runtime": 151.0047,
|
422 |
+
"eval_samples_per_second": 37.456,
|
423 |
+
"eval_steps_per_second": 4.682,
|
424 |
+
"eval_wer": 0.3901718797644076,
|
425 |
"step": 4000
|
426 |
},
|
427 |
{
|
428 |
"epoch": 2.32163080407701,
|
429 |
+
"eval_loss": 0.6454418301582336,
|
430 |
+
"eval_runtime": 151.5484,
|
431 |
+
"eval_samples_per_second": 37.321,
|
432 |
+
"eval_steps_per_second": 4.665,
|
433 |
+
"eval_wer": 0.4513328304793696,
|
434 |
"step": 4100
|
435 |
},
|
436 |
{
|
437 |
"epoch": 2.378255945639864,
|
438 |
+
"eval_loss": 0.989225447177887,
|
439 |
+
"eval_runtime": 151.0915,
|
440 |
+
"eval_samples_per_second": 37.434,
|
441 |
+
"eval_steps_per_second": 4.679,
|
442 |
+
"eval_wer": 0.5936672497632842,
|
443 |
"step": 4200
|
444 |
},
|
445 |
{
|
446 |
"epoch": 2.434881087202718,
|
447 |
+
"eval_loss": 0.7711612582206726,
|
448 |
+
"eval_runtime": 151.4711,
|
449 |
+
"eval_samples_per_second": 37.34,
|
450 |
+
"eval_steps_per_second": 4.668,
|
451 |
+
"eval_wer": 0.5166984962526681,
|
452 |
"step": 4300
|
453 |
},
|
454 |
{
|
455 |
"epoch": 2.491506228765572,
|
456 |
+
"eval_loss": 0.6337701678276062,
|
457 |
+
"eval_runtime": 152.602,
|
458 |
+
"eval_samples_per_second": 37.064,
|
459 |
+
"eval_steps_per_second": 4.633,
|
460 |
+
"eval_wer": 0.47877581807385533,
|
461 |
"step": 4400
|
462 |
},
|
463 |
{
|
464 |
"epoch": 2.548131370328426,
|
465 |
+
"grad_norm": 1.0334250926971436,
|
466 |
+
"learning_rate": 0.00018373333333333332,
|
467 |
+
"loss": 0.46,
|
468 |
"step": 4500
|
469 |
},
|
470 |
{
|
471 |
"epoch": 2.548131370328426,
|
472 |
+
"eval_loss": 0.5562150478363037,
|
473 |
+
"eval_runtime": 152.8682,
|
474 |
+
"eval_samples_per_second": 36.999,
|
475 |
+
"eval_steps_per_second": 4.625,
|
476 |
+
"eval_wer": 0.4155606554219961,
|
477 |
"step": 4500
|
478 |
},
|
479 |
{
|
480 |
"epoch": 2.6047565118912797,
|
481 |
+
"eval_loss": 0.5376870036125183,
|
482 |
+
"eval_runtime": 151.9955,
|
483 |
+
"eval_samples_per_second": 37.212,
|
484 |
+
"eval_steps_per_second": 4.651,
|
485 |
+
"eval_wer": 0.3905730930333328,
|
486 |
"step": 4600
|
487 |
},
|
488 |
{
|
489 |
"epoch": 2.661381653454134,
|
490 |
+
"eval_loss": 0.5686676502227783,
|
491 |
+
"eval_runtime": 151.879,
|
492 |
+
"eval_samples_per_second": 37.24,
|
493 |
+
"eval_steps_per_second": 4.655,
|
494 |
+
"eval_wer": 0.4008120556563047,
|
495 |
"step": 4700
|
496 |
},
|
497 |
{
|
498 |
"epoch": 2.7180067950169873,
|
499 |
+
"eval_loss": 0.6321017742156982,
|
500 |
+
"eval_runtime": 152.7183,
|
501 |
+
"eval_samples_per_second": 37.036,
|
502 |
+
"eval_steps_per_second": 4.629,
|
503 |
+
"eval_wer": 0.42905746978864084,
|
504 |
"step": 4800
|
505 |
},
|
506 |
{
|
507 |
"epoch": 2.7746319365798415,
|
508 |
+
"eval_loss": 0.5834416151046753,
|
509 |
+
"eval_runtime": 152.1246,
|
510 |
+
"eval_samples_per_second": 37.18,
|
511 |
+
"eval_steps_per_second": 4.648,
|
512 |
+
"eval_wer": 0.4202789234645568,
|
513 |
"step": 4900
|
514 |
},
|
515 |
{
|
516 |
"epoch": 2.8312570781426953,
|
517 |
+
"grad_norm": 0.5010664463043213,
|
518 |
+
"learning_rate": 0.00016706666666666664,
|
519 |
+
"loss": 0.299,
|
520 |
"step": 5000
|
521 |
},
|
522 |
{
|
523 |
"epoch": 2.8312570781426953,
|
524 |
+
"eval_loss": 0.5302273631095886,
|
525 |
+
"eval_runtime": 152.1036,
|
526 |
+
"eval_samples_per_second": 37.185,
|
527 |
+
"eval_steps_per_second": 4.648,
|
528 |
+
"eval_wer": 0.3929643241161272,
|
529 |
"step": 5000
|
530 |
},
|
531 |
{
|
532 |
+
"epoch": 2.887882219705549,
|
533 |
+
"eval_loss": 0.5315878987312317,
|
534 |
+
"eval_runtime": 151.9165,
|
535 |
+
"eval_samples_per_second": 37.231,
|
536 |
+
"eval_steps_per_second": 4.654,
|
537 |
+
"eval_wer": 0.3860153102983422,
|
538 |
+
"step": 5100
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 2.9445073612684034,
|
542 |
+
"eval_loss": 0.5343597531318665,
|
543 |
+
"eval_runtime": 163.0683,
|
544 |
+
"eval_samples_per_second": 34.685,
|
545 |
+
"eval_steps_per_second": 4.336,
|
546 |
+
"eval_wer": 0.38002920832597775,
|
547 |
+
"step": 5200
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 3.001132502831257,
|
551 |
+
"eval_loss": 0.534857451915741,
|
552 |
+
"eval_runtime": 153.2271,
|
553 |
+
"eval_samples_per_second": 36.913,
|
554 |
+
"eval_steps_per_second": 4.614,
|
555 |
+
"eval_wer": 0.38415368073052913,
|
556 |
+
"step": 5300
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 3.057757644394111,
|
560 |
+
"eval_loss": 0.5775672793388367,
|
561 |
+
"eval_runtime": 151.3492,
|
562 |
+
"eval_samples_per_second": 37.371,
|
563 |
+
"eval_steps_per_second": 4.671,
|
564 |
+
"eval_wer": 0.4182728571199307,
|
565 |
+
"step": 5400
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 3.114382785956965,
|
569 |
+
"grad_norm": 1.614545226097107,
|
570 |
+
"learning_rate": 0.00015039999999999997,
|
571 |
+
"loss": 0.2839,
|
572 |
+
"step": 5500
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 3.114382785956965,
|
576 |
+
"eval_loss": 0.5882839560508728,
|
577 |
+
"eval_runtime": 150.3863,
|
578 |
+
"eval_samples_per_second": 37.61,
|
579 |
+
"eval_steps_per_second": 4.701,
|
580 |
+
"eval_wer": 0.41002391231082796,
|
581 |
+
"step": 5500
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 3.1710079275198186,
|
585 |
+
"eval_loss": 0.5722731947898865,
|
586 |
+
"eval_runtime": 154.6093,
|
587 |
+
"eval_samples_per_second": 36.583,
|
588 |
+
"eval_steps_per_second": 4.573,
|
589 |
+
"eval_wer": 0.4043587809536037,
|
590 |
+
"step": 5600
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 3.227633069082673,
|
594 |
+
"eval_loss": 0.5630057454109192,
|
595 |
+
"eval_runtime": 153.3174,
|
596 |
+
"eval_samples_per_second": 36.891,
|
597 |
+
"eval_steps_per_second": 4.611,
|
598 |
+
"eval_wer": 0.40779316653560366,
|
599 |
+
"step": 5700
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 3.2842582106455267,
|
603 |
+
"eval_loss": 0.5810334086418152,
|
604 |
+
"eval_runtime": 153.0372,
|
605 |
+
"eval_samples_per_second": 36.958,
|
606 |
+
"eval_steps_per_second": 4.62,
|
607 |
+
"eval_wer": 0.4191394777808092,
|
608 |
+
"step": 5800
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 3.3408833522083805,
|
612 |
+
"eval_loss": 0.5995615720748901,
|
613 |
+
"eval_runtime": 152.3384,
|
614 |
+
"eval_samples_per_second": 37.128,
|
615 |
+
"eval_steps_per_second": 4.641,
|
616 |
+
"eval_wer": 0.4228306398549213,
|
617 |
+
"step": 5900
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 3.3975084937712343,
|
621 |
+
"grad_norm": 9.246959686279297,
|
622 |
+
"learning_rate": 0.00013373333333333332,
|
623 |
+
"loss": 0.3019,
|
624 |
+
"step": 6000
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 3.3975084937712343,
|
628 |
+
"eval_loss": 0.5681526064872742,
|
629 |
+
"eval_runtime": 153.1128,
|
630 |
+
"eval_samples_per_second": 36.94,
|
631 |
+
"eval_steps_per_second": 4.618,
|
632 |
+
"eval_wer": 0.4015502880711271,
|
633 |
+
"step": 6000
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 3.454133635334088,
|
637 |
+
"eval_loss": 0.5560505390167236,
|
638 |
+
"eval_runtime": 152.0848,
|
639 |
+
"eval_samples_per_second": 37.19,
|
640 |
+
"eval_steps_per_second": 4.649,
|
641 |
+
"eval_wer": 0.40569080900643545,
|
642 |
+
"step": 6100
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 3.5107587768969424,
|
646 |
+
"eval_loss": 0.5905264616012573,
|
647 |
+
"eval_runtime": 152.0038,
|
648 |
+
"eval_samples_per_second": 37.21,
|
649 |
+
"eval_steps_per_second": 4.651,
|
650 |
+
"eval_wer": 0.41458169504581854,
|
651 |
+
"step": 6200
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 3.567383918459796,
|
655 |
+
"eval_loss": 0.5875168442726135,
|
656 |
+
"eval_runtime": 151.4059,
|
657 |
+
"eval_samples_per_second": 37.357,
|
658 |
+
"eval_steps_per_second": 4.67,
|
659 |
+
"eval_wer": 0.4190271380655101,
|
660 |
+
"step": 6300
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 3.62400906002265,
|
664 |
+
"eval_loss": 0.5877885818481445,
|
665 |
+
"eval_runtime": 150.4489,
|
666 |
+
"eval_samples_per_second": 37.594,
|
667 |
+
"eval_steps_per_second": 4.699,
|
668 |
+
"eval_wer": 0.44462454462293977,
|
669 |
+
"step": 6400
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 3.680634201585504,
|
673 |
+
"grad_norm": 1.084346890449524,
|
674 |
+
"learning_rate": 0.00011709999999999999,
|
675 |
+
"loss": 0.2944,
|
676 |
+
"step": 6500
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 3.680634201585504,
|
680 |
+
"eval_loss": 0.5938708782196045,
|
681 |
+
"eval_runtime": 150.586,
|
682 |
+
"eval_samples_per_second": 37.56,
|
683 |
+
"eval_steps_per_second": 4.695,
|
684 |
+
"eval_wer": 0.4403877325030893,
|
685 |
+
"step": 6500
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 3.7372593431483576,
|
689 |
+
"eval_loss": 0.590270459651947,
|
690 |
+
"eval_runtime": 150.087,
|
691 |
+
"eval_samples_per_second": 37.685,
|
692 |
+
"eval_steps_per_second": 4.711,
|
693 |
+
"eval_wer": 0.4183049541814447,
|
694 |
+
"step": 6600
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 3.793884484711212,
|
698 |
+
"eval_loss": 0.5807533264160156,
|
699 |
+
"eval_runtime": 149.6534,
|
700 |
+
"eval_samples_per_second": 37.794,
|
701 |
+
"eval_steps_per_second": 4.724,
|
702 |
+
"eval_wer": 0.4059475854985476,
|
703 |
+
"step": 6700
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 3.8505096262740657,
|
707 |
+
"eval_loss": 0.6154611706733704,
|
708 |
+
"eval_runtime": 150.8194,
|
709 |
+
"eval_samples_per_second": 37.502,
|
710 |
+
"eval_steps_per_second": 4.688,
|
711 |
+
"eval_wer": 0.410056009372342,
|
712 |
+
"step": 6800
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 3.9071347678369195,
|
716 |
+
"eval_loss": 0.7987228631973267,
|
717 |
+
"eval_runtime": 151.5296,
|
718 |
+
"eval_samples_per_second": 37.326,
|
719 |
+
"eval_steps_per_second": 4.666,
|
720 |
+
"eval_wer": 0.5822727929258077,
|
721 |
+
"step": 6900
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 3.9637599093997737,
|
725 |
+
"grad_norm": 9.350592613220215,
|
726 |
+
"learning_rate": 0.0001005,
|
727 |
+
"loss": 0.3918,
|
728 |
+
"step": 7000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 3.9637599093997737,
|
732 |
+
"eval_loss": 0.9750258326530457,
|
733 |
+
"eval_runtime": 151.1967,
|
734 |
+
"eval_samples_per_second": 37.408,
|
735 |
+
"eval_steps_per_second": 4.676,
|
736 |
+
"eval_wer": 0.5545409317776957,
|
737 |
+
"step": 7000
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 4.020385050962627,
|
741 |
+
"eval_loss": 1.0540127754211426,
|
742 |
+
"eval_runtime": 150.2681,
|
743 |
+
"eval_samples_per_second": 37.639,
|
744 |
+
"eval_steps_per_second": 4.705,
|
745 |
+
"eval_wer": 0.5689043668052189,
|
746 |
+
"step": 7100
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 4.077010192525481,
|
750 |
+
"eval_loss": 0.6850923299789429,
|
751 |
+
"eval_runtime": 150.3993,
|
752 |
+
"eval_samples_per_second": 37.607,
|
753 |
+
"eval_steps_per_second": 4.701,
|
754 |
+
"eval_wer": 0.4396013544959959,
|
755 |
+
"step": 7200
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 4.133635334088336,
|
759 |
+
"eval_loss": 0.7331786155700684,
|
760 |
+
"eval_runtime": 151.5017,
|
761 |
+
"eval_samples_per_second": 37.333,
|
762 |
+
"eval_steps_per_second": 4.667,
|
763 |
+
"eval_wer": 0.49731187109820096,
|
764 |
+
"step": 7300
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 4.190260475651189,
|
768 |
+
"eval_loss": 0.9466453194618225,
|
769 |
+
"eval_runtime": 150.2633,
|
770 |
+
"eval_samples_per_second": 37.641,
|
771 |
+
"eval_steps_per_second": 4.705,
|
772 |
+
"eval_wer": 0.6394697565437885,
|
773 |
+
"step": 7400
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 4.246885617214043,
|
777 |
+
"grad_norm": 4.335416793823242,
|
778 |
+
"learning_rate": 8.386666666666665e-05,
|
779 |
+
"loss": 0.5378,
|
780 |
+
"step": 7500
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 4.246885617214043,
|
784 |
+
"eval_loss": 0.8257068991661072,
|
785 |
+
"eval_runtime": 151.0198,
|
786 |
+
"eval_samples_per_second": 37.452,
|
787 |
+
"eval_steps_per_second": 4.682,
|
788 |
+
"eval_wer": 0.485147084784388,
|
789 |
+
"step": 7500
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 4.303510758776897,
|
793 |
+
"eval_loss": 0.8490071296691895,
|
794 |
+
"eval_runtime": 150.818,
|
795 |
+
"eval_samples_per_second": 37.502,
|
796 |
+
"eval_steps_per_second": 4.688,
|
797 |
+
"eval_wer": 0.4867037922678179,
|
798 |
+
"step": 7600
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 4.360135900339751,
|
802 |
+
"eval_loss": 0.8716742396354675,
|
803 |
+
"eval_runtime": 150.797,
|
804 |
+
"eval_samples_per_second": 37.507,
|
805 |
+
"eval_steps_per_second": 4.688,
|
806 |
+
"eval_wer": 0.47112066890276194,
|
807 |
+
"step": 7700
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 4.416761041902605,
|
811 |
+
"eval_loss": 0.883883535861969,
|
812 |
+
"eval_runtime": 150.6157,
|
813 |
+
"eval_samples_per_second": 37.553,
|
814 |
+
"eval_steps_per_second": 4.694,
|
815 |
+
"eval_wer": 0.5860281491229478,
|
816 |
+
"step": 7800
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 4.4733861834654585,
|
820 |
+
"eval_loss": 2.911261558532715,
|
821 |
+
"eval_runtime": 150.8548,
|
822 |
+
"eval_samples_per_second": 37.493,
|
823 |
+
"eval_steps_per_second": 4.687,
|
824 |
+
"eval_wer": 1.0,
|
825 |
+
"step": 7900
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 4.530011325028313,
|
829 |
+
"grad_norm": 0.2805318534374237,
|
830 |
+
"learning_rate": 6.723333333333333e-05,
|
831 |
+
"loss": 1.3847,
|
832 |
+
"step": 8000
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 4.530011325028313,
|
836 |
+
"eval_loss": 2.8575596809387207,
|
837 |
+
"eval_runtime": 151.2637,
|
838 |
+
"eval_samples_per_second": 37.392,
|
839 |
+
"eval_steps_per_second": 4.674,
|
840 |
+
"eval_wer": 1.0,
|
841 |
+
"step": 8000
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 4.586636466591166,
|
845 |
+
"eval_loss": 2.83913516998291,
|
846 |
+
"eval_runtime": 151.4914,
|
847 |
+
"eval_samples_per_second": 37.335,
|
848 |
+
"eval_steps_per_second": 4.667,
|
849 |
+
"eval_wer": 1.0,
|
850 |
+
"step": 8100
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 4.64326160815402,
|
854 |
+
"eval_loss": 2.840644121170044,
|
855 |
+
"eval_runtime": 150.8361,
|
856 |
+
"eval_samples_per_second": 37.498,
|
857 |
+
"eval_steps_per_second": 4.687,
|
858 |
+
"eval_wer": 1.0,
|
859 |
+
"step": 8200
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 4.699886749716875,
|
863 |
+
"eval_loss": 2.856635093688965,
|
864 |
+
"eval_runtime": 150.3023,
|
865 |
+
"eval_samples_per_second": 37.631,
|
866 |
+
"eval_steps_per_second": 4.704,
|
867 |
+
"eval_wer": 1.0,
|
868 |
+
"step": 8300
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 4.756511891279728,
|
872 |
+
"eval_loss": 2.8454244136810303,
|
873 |
+
"eval_runtime": 150.6924,
|
874 |
+
"eval_samples_per_second": 37.533,
|
875 |
+
"eval_steps_per_second": 4.692,
|
876 |
+
"eval_wer": 0.999823466161673,
|
877 |
+
"step": 8400
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 4.813137032842582,
|
881 |
+
"grad_norm": 0.4468824863433838,
|
882 |
+
"learning_rate": 5.06e-05,
|
883 |
+
"loss": 2.8136,
|
884 |
+
"step": 8500
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 4.813137032842582,
|
888 |
+
"eval_loss": 2.8339831829071045,
|
889 |
+
"eval_runtime": 151.2056,
|
890 |
+
"eval_samples_per_second": 37.406,
|
891 |
+
"eval_steps_per_second": 4.676,
|
892 |
+
"eval_wer": 0.999919757346215,
|
893 |
+
"step": 8500
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 4.869762174405436,
|
897 |
+
"eval_loss": 2.836662530899048,
|
898 |
+
"eval_runtime": 152.389,
|
899 |
+
"eval_samples_per_second": 37.116,
|
900 |
+
"eval_steps_per_second": 4.639,
|
901 |
+
"eval_wer": 0.999935805876972,
|
902 |
+
"step": 8600
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 4.92638731596829,
|
906 |
+
"eval_loss": 2.833369016647339,
|
907 |
+
"eval_runtime": 151.3614,
|
908 |
+
"eval_samples_per_second": 37.368,
|
909 |
+
"eval_steps_per_second": 4.671,
|
910 |
+
"eval_wer": 0.9998876602847009,
|
911 |
+
"step": 8700
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 4.983012457531144,
|
915 |
+
"eval_loss": 2.8321285247802734,
|
916 |
+
"eval_runtime": 157.5502,
|
917 |
+
"eval_samples_per_second": 35.9,
|
918 |
+
"eval_steps_per_second": 4.487,
|
919 |
+
"eval_wer": 0.999935805876972,
|
920 |
+
"step": 8800
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 5.0396375990939974,
|
924 |
+
"eval_loss": 2.802509307861328,
|
925 |
+
"eval_runtime": 151.5865,
|
926 |
+
"eval_samples_per_second": 37.312,
|
927 |
+
"eval_steps_per_second": 4.664,
|
928 |
+
"eval_wer": 0.9982186130859719,
|
929 |
+
"step": 8900
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 5.096262740656852,
|
933 |
+
"grad_norm": 0.3411979377269745,
|
934 |
+
"learning_rate": 3.393333333333333e-05,
|
935 |
+
"loss": 2.8007,
|
936 |
+
"step": 9000
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 5.096262740656852,
|
940 |
+
"eval_loss": 2.8024423122406006,
|
941 |
+
"eval_runtime": 151.6682,
|
942 |
+
"eval_samples_per_second": 37.292,
|
943 |
+
"eval_steps_per_second": 4.661,
|
944 |
+
"eval_wer": 0.9974964292019066,
|
945 |
+
"step": 9000
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 5.152887882219706,
|
949 |
+
"eval_loss": 2.8043477535247803,
|
950 |
+
"eval_runtime": 153.1811,
|
951 |
+
"eval_samples_per_second": 36.924,
|
952 |
+
"eval_steps_per_second": 4.615,
|
953 |
+
"eval_wer": 0.9981062733706729,
|
954 |
+
"step": 9100
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 5.209513023782559,
|
958 |
+
"eval_loss": 2.810584783554077,
|
959 |
+
"eval_runtime": 151.6694,
|
960 |
+
"eval_samples_per_second": 37.292,
|
961 |
+
"eval_steps_per_second": 4.661,
|
962 |
+
"eval_wer": 0.9992457190544206,
|
963 |
+
"step": 9200
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 5.266138165345414,
|
967 |
+
"eval_loss": 2.8066723346710205,
|
968 |
+
"eval_runtime": 151.6427,
|
969 |
+
"eval_samples_per_second": 37.298,
|
970 |
+
"eval_steps_per_second": 4.662,
|
971 |
+
"eval_wer": 0.9993259617082056,
|
972 |
+
"step": 9300
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 5.322763306908267,
|
976 |
+
"eval_loss": 2.805284023284912,
|
977 |
+
"eval_runtime": 151.8566,
|
978 |
+
"eval_samples_per_second": 37.246,
|
979 |
+
"eval_steps_per_second": 4.656,
|
980 |
+
"eval_wer": 0.9985877292933832,
|
981 |
+
"step": 9400
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 5.379388448471121,
|
985 |
+
"grad_norm": 0.15991327166557312,
|
986 |
+
"learning_rate": 1.7299999999999997e-05,
|
987 |
+
"loss": 2.7935,
|
988 |
+
"step": 9500
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 5.379388448471121,
|
992 |
+
"eval_loss": 2.807739734649658,
|
993 |
+
"eval_runtime": 152.8905,
|
994 |
+
"eval_samples_per_second": 36.994,
|
995 |
+
"eval_steps_per_second": 4.624,
|
996 |
+
"eval_wer": 0.9978173998170468,
|
997 |
+
"step": 9500
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 5.436013590033975,
|
1001 |
+
"eval_loss": 2.8082854747772217,
|
1002 |
+
"eval_runtime": 151.7494,
|
1003 |
+
"eval_samples_per_second": 37.272,
|
1004 |
+
"eval_steps_per_second": 4.659,
|
1005 |
+
"eval_wer": 0.9987161175394392,
|
1006 |
+
"step": 9600
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 5.492638731596829,
|
1010 |
+
"eval_loss": 2.8080484867095947,
|
1011 |
+
"eval_runtime": 151.6292,
|
1012 |
+
"eval_samples_per_second": 37.302,
|
1013 |
+
"eval_steps_per_second": 4.663,
|
1014 |
+
"eval_wer": 0.9988926513777664,
|
1015 |
+
"step": 9700
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 5.549263873159683,
|
1019 |
+
"eval_loss": 2.808607578277588,
|
1020 |
+
"eval_runtime": 153.2376,
|
1021 |
+
"eval_samples_per_second": 36.91,
|
1022 |
+
"eval_steps_per_second": 4.614,
|
1023 |
+
"eval_wer": 0.9986037778241402,
|
1024 |
+
"step": 9800
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 5.605889014722536,
|
1028 |
+
"eval_loss": 2.8079216480255127,
|
1029 |
+
"eval_runtime": 151.6181,
|
1030 |
+
"eval_samples_per_second": 37.304,
|
1031 |
+
"eval_steps_per_second": 4.663,
|
1032 |
+
"eval_wer": 0.998186516024458,
|
1033 |
+
"step": 9900
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 5.662514156285391,
|
1037 |
+
"grad_norm": 0.3985973000526428,
|
1038 |
+
"learning_rate": 7e-07,
|
1039 |
+
"loss": 2.7861,
|
1040 |
+
"step": 10000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 5.662514156285391,
|
1044 |
+
"eval_loss": 2.807446241378784,
|
1045 |
+
"eval_runtime": 151.2977,
|
1046 |
+
"eval_samples_per_second": 37.383,
|
1047 |
+
"eval_steps_per_second": 4.673,
|
1048 |
+
"eval_wer": 0.998266758678243,
|
1049 |
+
"step": 10000
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 5.662514156285391,
|
1053 |
+
"step": 10000,
|
1054 |
+
"total_flos": 9.138710330328565e+19,
|
1055 |
+
"train_loss": 1.1088516311645509,
|
1056 |
+
"train_runtime": 39423.4073,
|
1057 |
+
"train_samples_per_second": 16.234,
|
1058 |
+
"train_steps_per_second": 0.254
|
1059 |
}
|
1060 |
],
|
1061 |
"logging_steps": 500,
|
1062 |
+
"max_steps": 10000,
|
1063 |
"num_input_tokens_seen": 0,
|
1064 |
+
"num_train_epochs": 6,
|
1065 |
"save_steps": 400,
|
1066 |
+
"total_flos": 9.138710330328565e+19,
|
1067 |
"train_batch_size": 64,
|
1068 |
"trial_name": null,
|
1069 |
"trial_params": null
|