DewiBrynJones
commited on
Commit
•
e069dc3
1
Parent(s):
ff51815
End of training
Browse files- README.md +3 -1
- all_results.json +10 -10
- eval_results.json +5 -5
- runs/Aug12_16-36-55_940cfb8ec62d/events.out.tfevents.1723489570.940cfb8ec62d.1888.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +204 -204
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: inf
|
21 |
- Wer: 0.5238
|
|
|
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: inf
|
23 |
- Wer: 0.5238
|
all_results.json
CHANGED
@@ -1,15 +1,15 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_loss": Infinity,
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 7022,
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
-
"eval_wer": 0.
|
9 |
-
"total_flos":
|
10 |
-
"train_loss": 0.
|
11 |
-
"train_runtime":
|
12 |
"train_samples": 41435,
|
13 |
-
"train_samples_per_second":
|
14 |
-
"train_steps_per_second": 0.
|
15 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.633204633204633,
|
3 |
"eval_loss": Infinity,
|
4 |
+
"eval_runtime": 188.2056,
|
5 |
"eval_samples": 7022,
|
6 |
+
"eval_samples_per_second": 37.31,
|
7 |
+
"eval_steps_per_second": 4.665,
|
8 |
+
"eval_wer": 0.5237557295521535,
|
9 |
+
"total_flos": 2.5308493485736165e+19,
|
10 |
+
"train_loss": 0.9557839482625325,
|
11 |
+
"train_runtime": 12299.0724,
|
12 |
"train_samples": 41435,
|
13 |
+
"train_samples_per_second": 15.611,
|
14 |
+
"train_steps_per_second": 0.488
|
15 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_loss": Infinity,
|
4 |
-
"eval_runtime":
|
5 |
"eval_samples": 7022,
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
-
"eval_wer": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.633204633204633,
|
3 |
"eval_loss": Infinity,
|
4 |
+
"eval_runtime": 188.2056,
|
5 |
"eval_samples": 7022,
|
6 |
+
"eval_samples_per_second": 37.31,
|
7 |
+
"eval_steps_per_second": 4.665,
|
8 |
+
"eval_wer": 0.5237557295521535
|
9 |
}
|
runs/Aug12_16-36-55_940cfb8ec62d/events.out.tfevents.1723489570.940cfb8ec62d.1888.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e21ca93c58a036acf1a23d94dade2f3d05b93b4ea1e19a6c5ffa78196b71981d
|
3 |
+
size 406
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 41435,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.633204633204633,
|
3 |
+
"total_flos": 2.5308493485736165e+19,
|
4 |
+
"train_loss": 0.9557839482625325,
|
5 |
+
"train_runtime": 12299.0724,
|
6 |
"train_samples": 41435,
|
7 |
+
"train_samples_per_second": 15.611,
|
8 |
+
"train_steps_per_second": 0.488
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 200,
|
6 |
"global_step": 6000,
|
7 |
"is_hyper_param_search": false,
|
@@ -9,373 +9,373 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
"eval_loss": Infinity,
|
14 |
-
"eval_runtime":
|
15 |
-
"eval_samples_per_second":
|
16 |
-
"eval_steps_per_second": 4.
|
17 |
"eval_wer": 1.0,
|
18 |
"step": 200
|
19 |
},
|
20 |
{
|
21 |
-
"epoch": 0.
|
22 |
"eval_loss": Infinity,
|
23 |
-
"eval_runtime": 187.
|
24 |
-
"eval_samples_per_second": 37.
|
25 |
-
"eval_steps_per_second": 4.
|
26 |
-
"eval_wer": 0.
|
27 |
"step": 400
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
-
"grad_norm":
|
32 |
"learning_rate": 0.00029699999999999996,
|
33 |
-
"loss": 3.
|
34 |
"step": 500
|
35 |
},
|
36 |
{
|
37 |
-
"epoch": 0.
|
38 |
"eval_loss": Infinity,
|
39 |
-
"eval_runtime":
|
40 |
-
"eval_samples_per_second":
|
41 |
-
"eval_steps_per_second": 4.
|
42 |
-
"eval_wer": 0.
|
43 |
"step": 600
|
44 |
},
|
45 |
{
|
46 |
-
"epoch": 0.
|
47 |
"eval_loss": Infinity,
|
48 |
-
"eval_runtime":
|
49 |
-
"eval_samples_per_second":
|
50 |
-
"eval_steps_per_second": 4.
|
51 |
-
"eval_wer": 0.
|
52 |
"step": 800
|
53 |
},
|
54 |
{
|
55 |
-
"epoch": 0.
|
56 |
-
"grad_norm":
|
57 |
-
"learning_rate": 0.
|
58 |
-
"loss": 0.
|
59 |
"step": 1000
|
60 |
},
|
61 |
{
|
62 |
-
"epoch": 0.
|
63 |
"eval_loss": Infinity,
|
64 |
-
"eval_runtime":
|
65 |
-
"eval_samples_per_second":
|
66 |
-
"eval_steps_per_second": 4.
|
67 |
-
"eval_wer": 0.
|
68 |
"step": 1000
|
69 |
},
|
70 |
{
|
71 |
-
"epoch": 0.
|
72 |
"eval_loss": Infinity,
|
73 |
-
"eval_runtime":
|
74 |
-
"eval_samples_per_second":
|
75 |
-
"eval_steps_per_second": 4.
|
76 |
-
"eval_wer": 0.
|
77 |
"step": 1200
|
78 |
},
|
79 |
{
|
80 |
-
"epoch":
|
81 |
"eval_loss": Infinity,
|
82 |
-
"eval_runtime":
|
83 |
-
"eval_samples_per_second":
|
84 |
-
"eval_steps_per_second": 4.
|
85 |
-
"eval_wer": 0.
|
86 |
"step": 1400
|
87 |
},
|
88 |
{
|
89 |
-
"epoch":
|
90 |
-
"grad_norm":
|
91 |
"learning_rate": 0.0002458363636363636,
|
92 |
-
"loss": 0.
|
93 |
"step": 1500
|
94 |
},
|
95 |
{
|
96 |
-
"epoch":
|
97 |
"eval_loss": Infinity,
|
98 |
-
"eval_runtime":
|
99 |
-
"eval_samples_per_second":
|
100 |
-
"eval_steps_per_second": 4.
|
101 |
-
"eval_wer": 0.
|
102 |
"step": 1600
|
103 |
},
|
104 |
{
|
105 |
-
"epoch":
|
106 |
"eval_loss": Infinity,
|
107 |
-
"eval_runtime":
|
108 |
-
"eval_samples_per_second":
|
109 |
-
"eval_steps_per_second": 4.
|
110 |
-
"eval_wer": 0.
|
111 |
"step": 1800
|
112 |
},
|
113 |
{
|
114 |
-
"epoch":
|
115 |
-
"grad_norm":
|
116 |
"learning_rate": 0.0002186181818181818,
|
117 |
-
"loss": 0.
|
118 |
"step": 2000
|
119 |
},
|
120 |
{
|
121 |
-
"epoch":
|
122 |
"eval_loss": Infinity,
|
123 |
-
"eval_runtime":
|
124 |
-
"eval_samples_per_second":
|
125 |
-
"eval_steps_per_second": 4.
|
126 |
-
"eval_wer": 0.
|
127 |
"step": 2000
|
128 |
},
|
129 |
{
|
130 |
-
"epoch":
|
131 |
"eval_loss": Infinity,
|
132 |
-
"eval_runtime":
|
133 |
-
"eval_samples_per_second":
|
134 |
-
"eval_steps_per_second": 4.
|
135 |
-
"eval_wer": 0.
|
136 |
"step": 2200
|
137 |
},
|
138 |
{
|
139 |
-
"epoch":
|
140 |
"eval_loss": Infinity,
|
141 |
-
"eval_runtime":
|
142 |
-
"eval_samples_per_second":
|
143 |
-
"eval_steps_per_second": 4.
|
144 |
-
"eval_wer": 0.
|
145 |
"step": 2400
|
146 |
},
|
147 |
{
|
148 |
-
"epoch":
|
149 |
-
"grad_norm":
|
150 |
-
"learning_rate": 0.
|
151 |
-
"loss": 0.
|
152 |
"step": 2500
|
153 |
},
|
154 |
{
|
155 |
-
"epoch":
|
156 |
"eval_loss": Infinity,
|
157 |
-
"eval_runtime":
|
158 |
-
"eval_samples_per_second":
|
159 |
-
"eval_steps_per_second": 4.
|
160 |
-
"eval_wer": 0.
|
161 |
"step": 2600
|
162 |
},
|
163 |
{
|
164 |
-
"epoch":
|
165 |
"eval_loss": Infinity,
|
166 |
-
"eval_runtime":
|
167 |
-
"eval_samples_per_second":
|
168 |
-
"eval_steps_per_second": 4.
|
169 |
-
"eval_wer": 0.
|
170 |
"step": 2800
|
171 |
},
|
172 |
{
|
173 |
-
"epoch":
|
174 |
-
"grad_norm": 0.
|
175 |
-
"learning_rate": 0.
|
176 |
-
"loss": 0.
|
177 |
"step": 3000
|
178 |
},
|
179 |
{
|
180 |
-
"epoch":
|
181 |
"eval_loss": Infinity,
|
182 |
-
"eval_runtime":
|
183 |
-
"eval_samples_per_second":
|
184 |
-
"eval_steps_per_second": 4.
|
185 |
-
"eval_wer": 0.
|
186 |
"step": 3000
|
187 |
},
|
188 |
{
|
189 |
-
"epoch":
|
190 |
"eval_loss": Infinity,
|
191 |
-
"eval_runtime":
|
192 |
-
"eval_samples_per_second":
|
193 |
-
"eval_steps_per_second": 4.
|
194 |
-
"eval_wer": 0.
|
195 |
"step": 3200
|
196 |
},
|
197 |
{
|
198 |
-
"epoch":
|
199 |
"eval_loss": Infinity,
|
200 |
-
"eval_runtime":
|
201 |
-
"eval_samples_per_second":
|
202 |
-
"eval_steps_per_second": 4.
|
203 |
-
"eval_wer": 0.
|
204 |
"step": 3400
|
205 |
},
|
206 |
{
|
207 |
-
"epoch":
|
208 |
-
"grad_norm":
|
209 |
-
"learning_rate": 0.
|
210 |
-
"loss": 0.
|
211 |
"step": 3500
|
212 |
},
|
213 |
{
|
214 |
-
"epoch":
|
215 |
"eval_loss": Infinity,
|
216 |
-
"eval_runtime":
|
217 |
-
"eval_samples_per_second":
|
218 |
-
"eval_steps_per_second": 4.
|
219 |
-
"eval_wer": 0.
|
220 |
"step": 3600
|
221 |
},
|
222 |
{
|
223 |
-
"epoch":
|
224 |
"eval_loss": Infinity,
|
225 |
-
"eval_runtime":
|
226 |
-
"eval_samples_per_second":
|
227 |
-
"eval_steps_per_second": 4.
|
228 |
-
"eval_wer": 0.
|
229 |
"step": 3800
|
230 |
},
|
231 |
{
|
232 |
-
"epoch":
|
233 |
-
"grad_norm":
|
234 |
-
"learning_rate": 0.
|
235 |
-
"loss": 0.
|
236 |
"step": 4000
|
237 |
},
|
238 |
{
|
239 |
-
"epoch":
|
240 |
"eval_loss": Infinity,
|
241 |
-
"eval_runtime":
|
242 |
-
"eval_samples_per_second":
|
243 |
-
"eval_steps_per_second": 4.
|
244 |
-
"eval_wer": 0.
|
245 |
"step": 4000
|
246 |
},
|
247 |
{
|
248 |
-
"epoch":
|
249 |
"eval_loss": Infinity,
|
250 |
-
"eval_runtime":
|
251 |
-
"eval_samples_per_second":
|
252 |
-
"eval_steps_per_second": 4.
|
253 |
-
"eval_wer": 0.
|
254 |
"step": 4200
|
255 |
},
|
256 |
{
|
257 |
-
"epoch":
|
258 |
"eval_loss": Infinity,
|
259 |
-
"eval_runtime":
|
260 |
-
"eval_samples_per_second":
|
261 |
-
"eval_steps_per_second": 4.
|
262 |
-
"eval_wer": 0.
|
263 |
"step": 4400
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
-
"grad_norm":
|
268 |
-
"learning_rate": 8.
|
269 |
-
"loss": 0.
|
270 |
"step": 4500
|
271 |
},
|
272 |
{
|
273 |
-
"epoch":
|
274 |
"eval_loss": Infinity,
|
275 |
-
"eval_runtime":
|
276 |
-
"eval_samples_per_second":
|
277 |
-
"eval_steps_per_second": 4.
|
278 |
-
"eval_wer": 0.
|
279 |
"step": 4600
|
280 |
},
|
281 |
{
|
282 |
-
"epoch":
|
283 |
"eval_loss": Infinity,
|
284 |
-
"eval_runtime":
|
285 |
-
"eval_samples_per_second":
|
286 |
-
"eval_steps_per_second": 4.
|
287 |
-
"eval_wer": 0.
|
288 |
"step": 4800
|
289 |
},
|
290 |
{
|
291 |
-
"epoch":
|
292 |
-
"grad_norm":
|
293 |
-
"learning_rate": 5.
|
294 |
-
"loss": 0.
|
295 |
"step": 5000
|
296 |
},
|
297 |
{
|
298 |
-
"epoch":
|
299 |
"eval_loss": Infinity,
|
300 |
-
"eval_runtime":
|
301 |
-
"eval_samples_per_second":
|
302 |
-
"eval_steps_per_second": 4.
|
303 |
-
"eval_wer": 0.
|
304 |
"step": 5000
|
305 |
},
|
306 |
{
|
307 |
-
"epoch":
|
308 |
"eval_loss": Infinity,
|
309 |
-
"eval_runtime":
|
310 |
-
"eval_samples_per_second":
|
311 |
-
"eval_steps_per_second": 4.
|
312 |
-
"eval_wer": 0.
|
313 |
"step": 5200
|
314 |
},
|
315 |
{
|
316 |
-
"epoch":
|
317 |
"eval_loss": Infinity,
|
318 |
-
"eval_runtime":
|
319 |
-
"eval_samples_per_second":
|
320 |
-
"eval_steps_per_second": 4.
|
321 |
-
"eval_wer": 0.
|
322 |
"step": 5400
|
323 |
},
|
324 |
{
|
325 |
-
"epoch":
|
326 |
-
"grad_norm":
|
327 |
-
"learning_rate": 2.
|
328 |
-
"loss": 0.
|
329 |
"step": 5500
|
330 |
},
|
331 |
{
|
332 |
-
"epoch":
|
333 |
"eval_loss": Infinity,
|
334 |
-
"eval_runtime":
|
335 |
-
"eval_samples_per_second":
|
336 |
-
"eval_steps_per_second": 4.
|
337 |
-
"eval_wer": 0.
|
338 |
"step": 5600
|
339 |
},
|
340 |
{
|
341 |
-
"epoch":
|
342 |
"eval_loss": Infinity,
|
343 |
-
"eval_runtime":
|
344 |
-
"eval_samples_per_second":
|
345 |
-
"eval_steps_per_second": 4.
|
346 |
-
"eval_wer": 0.
|
347 |
"step": 5800
|
348 |
},
|
349 |
{
|
350 |
-
"epoch":
|
351 |
-
"grad_norm":
|
352 |
-
"learning_rate":
|
353 |
-
"loss": 0.
|
354 |
"step": 6000
|
355 |
},
|
356 |
{
|
357 |
-
"epoch":
|
358 |
"eval_loss": Infinity,
|
359 |
-
"eval_runtime":
|
360 |
-
"eval_samples_per_second":
|
361 |
-
"eval_steps_per_second": 4.
|
362 |
-
"eval_wer": 0.
|
363 |
"step": 6000
|
364 |
},
|
365 |
{
|
366 |
-
"epoch":
|
367 |
"step": 6000,
|
368 |
-
"total_flos":
|
369 |
-
"train_loss": 0.
|
370 |
-
"train_runtime":
|
371 |
-
"train_samples_per_second":
|
372 |
-
"train_steps_per_second": 0.
|
373 |
}
|
374 |
],
|
375 |
"logging_steps": 500,
|
376 |
"max_steps": 6000,
|
377 |
"num_input_tokens_seen": 0,
|
378 |
-
"num_train_epochs":
|
379 |
"save_steps": 500,
|
380 |
"stateful_callbacks": {
|
381 |
"TrainerControl": {
|
@@ -389,8 +389,8 @@
|
|
389 |
"attributes": {}
|
390 |
}
|
391 |
},
|
392 |
-
"total_flos":
|
393 |
-
"train_batch_size":
|
394 |
"trial_name": null,
|
395 |
"trial_params": null
|
396 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 4.633204633204633,
|
5 |
"eval_steps": 200,
|
6 |
"global_step": 6000,
|
7 |
"is_hyper_param_search": false,
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.15444015444015444,
|
13 |
"eval_loss": Infinity,
|
14 |
+
"eval_runtime": 188.4417,
|
15 |
+
"eval_samples_per_second": 37.264,
|
16 |
+
"eval_steps_per_second": 4.659,
|
17 |
"eval_wer": 1.0,
|
18 |
"step": 200
|
19 |
},
|
20 |
{
|
21 |
+
"epoch": 0.3088803088803089,
|
22 |
"eval_loss": Infinity,
|
23 |
+
"eval_runtime": 187.0753,
|
24 |
+
"eval_samples_per_second": 37.536,
|
25 |
+
"eval_steps_per_second": 4.693,
|
26 |
+
"eval_wer": 0.8660615740199706,
|
27 |
"step": 400
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.3861003861003861,
|
31 |
+
"grad_norm": 2.7789804935455322,
|
32 |
"learning_rate": 0.00029699999999999996,
|
33 |
+
"loss": 3.7305,
|
34 |
"step": 500
|
35 |
},
|
36 |
{
|
37 |
+
"epoch": 0.46332046332046334,
|
38 |
"eval_loss": Infinity,
|
39 |
+
"eval_runtime": 186.9186,
|
40 |
+
"eval_samples_per_second": 37.567,
|
41 |
+
"eval_steps_per_second": 4.697,
|
42 |
+
"eval_wer": 0.7040110111279914,
|
43 |
"step": 600
|
44 |
},
|
45 |
{
|
46 |
+
"epoch": 0.6177606177606177,
|
47 |
"eval_loss": Infinity,
|
48 |
+
"eval_runtime": 187.3522,
|
49 |
+
"eval_samples_per_second": 37.48,
|
50 |
+
"eval_steps_per_second": 4.686,
|
51 |
+
"eval_wer": 0.5505953540311376,
|
52 |
"step": 800
|
53 |
},
|
54 |
{
|
55 |
+
"epoch": 0.7722007722007722,
|
56 |
+
"grad_norm": 11.684309959411621,
|
57 |
+
"learning_rate": 0.0002731090909090909,
|
58 |
+
"loss": 0.8464,
|
59 |
"step": 1000
|
60 |
},
|
61 |
{
|
62 |
+
"epoch": 0.7722007722007722,
|
63 |
"eval_loss": Infinity,
|
64 |
+
"eval_runtime": 187.5603,
|
65 |
+
"eval_samples_per_second": 37.439,
|
66 |
+
"eval_steps_per_second": 4.681,
|
67 |
+
"eval_wer": 0.5168088504538195,
|
68 |
"step": 1000
|
69 |
},
|
70 |
{
|
71 |
+
"epoch": 0.9266409266409267,
|
72 |
"eval_loss": Infinity,
|
73 |
+
"eval_runtime": 187.4249,
|
74 |
+
"eval_samples_per_second": 37.466,
|
75 |
+
"eval_steps_per_second": 4.685,
|
76 |
+
"eval_wer": 0.4824769844052303,
|
77 |
"step": 1200
|
78 |
},
|
79 |
{
|
80 |
+
"epoch": 1.0810810810810811,
|
81 |
"eval_loss": Infinity,
|
82 |
+
"eval_runtime": 188.7764,
|
83 |
+
"eval_samples_per_second": 37.197,
|
84 |
+
"eval_steps_per_second": 4.651,
|
85 |
+
"eval_wer": 0.46011712308311586,
|
86 |
"step": 1400
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 1.1583011583011582,
|
90 |
+
"grad_norm": 0.6005635261535645,
|
91 |
"learning_rate": 0.0002458363636363636,
|
92 |
+
"loss": 0.6629,
|
93 |
"step": 1500
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 1.2355212355212355,
|
97 |
"eval_loss": Infinity,
|
98 |
+
"eval_runtime": 188.0077,
|
99 |
+
"eval_samples_per_second": 37.35,
|
100 |
+
"eval_steps_per_second": 4.67,
|
101 |
+
"eval_wer": 0.4445483230104008,
|
102 |
"step": 1600
|
103 |
},
|
104 |
{
|
105 |
+
"epoch": 1.3899613899613898,
|
106 |
"eval_loss": Infinity,
|
107 |
+
"eval_runtime": 188.204,
|
108 |
+
"eval_samples_per_second": 37.311,
|
109 |
+
"eval_steps_per_second": 4.665,
|
110 |
+
"eval_wer": 0.41425473621336656,
|
111 |
"step": 1800
|
112 |
},
|
113 |
{
|
114 |
+
"epoch": 1.5444015444015444,
|
115 |
+
"grad_norm": 0.4440418481826782,
|
116 |
"learning_rate": 0.0002186181818181818,
|
117 |
+
"loss": 0.5655,
|
118 |
"step": 2000
|
119 |
},
|
120 |
{
|
121 |
+
"epoch": 1.5444015444015444,
|
122 |
"eval_loss": Infinity,
|
123 |
+
"eval_runtime": 188.2865,
|
124 |
+
"eval_samples_per_second": 37.294,
|
125 |
+
"eval_steps_per_second": 4.663,
|
126 |
+
"eval_wer": 0.41700751821121107,
|
127 |
"step": 2000
|
128 |
},
|
129 |
{
|
130 |
+
"epoch": 1.698841698841699,
|
131 |
"eval_loss": Infinity,
|
132 |
+
"eval_runtime": 189.1618,
|
133 |
+
"eval_samples_per_second": 37.122,
|
134 |
+
"eval_steps_per_second": 4.642,
|
135 |
+
"eval_wer": 0.4047108929661226,
|
136 |
"step": 2200
|
137 |
},
|
138 |
{
|
139 |
+
"epoch": 1.8532818532818531,
|
140 |
"eval_loss": Infinity,
|
141 |
+
"eval_runtime": 188.2544,
|
142 |
+
"eval_samples_per_second": 37.301,
|
143 |
+
"eval_steps_per_second": 4.664,
|
144 |
+
"eval_wer": 0.3966213496422682,
|
145 |
"step": 2400
|
146 |
},
|
147 |
{
|
148 |
+
"epoch": 1.9305019305019306,
|
149 |
+
"grad_norm": 0.9740249514579773,
|
150 |
+
"learning_rate": 0.00019150909090909088,
|
151 |
+
"loss": 0.5524,
|
152 |
"step": 2500
|
153 |
},
|
154 |
{
|
155 |
+
"epoch": 2.0077220077220077,
|
156 |
"eval_loss": Infinity,
|
157 |
+
"eval_runtime": 189.1265,
|
158 |
+
"eval_samples_per_second": 37.129,
|
159 |
+
"eval_steps_per_second": 4.642,
|
160 |
+
"eval_wer": 0.37794917741160583,
|
161 |
"step": 2600
|
162 |
},
|
163 |
{
|
164 |
+
"epoch": 2.1621621621621623,
|
165 |
"eval_loss": Infinity,
|
166 |
+
"eval_runtime": 188.7855,
|
167 |
+
"eval_samples_per_second": 37.196,
|
168 |
+
"eval_steps_per_second": 4.651,
|
169 |
+
"eval_wer": 0.37366418656590444,
|
170 |
"step": 2800
|
171 |
},
|
172 |
{
|
173 |
+
"epoch": 2.3166023166023164,
|
174 |
+
"grad_norm": 0.5873022675514221,
|
175 |
+
"learning_rate": 0.00016429090909090907,
|
176 |
+
"loss": 0.4773,
|
177 |
"step": 3000
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 2.3166023166023164,
|
181 |
"eval_loss": Infinity,
|
182 |
+
"eval_runtime": 189.7378,
|
183 |
+
"eval_samples_per_second": 37.009,
|
184 |
+
"eval_steps_per_second": 4.627,
|
185 |
+
"eval_wer": 0.3698336644462623,
|
186 |
"step": 3000
|
187 |
},
|
188 |
{
|
189 |
+
"epoch": 2.471042471042471,
|
190 |
"eval_loss": Infinity,
|
191 |
+
"eval_runtime": 189.8812,
|
192 |
+
"eval_samples_per_second": 36.981,
|
193 |
+
"eval_steps_per_second": 4.624,
|
194 |
+
"eval_wer": 0.37235271967070493,
|
195 |
"step": 3200
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 2.6254826254826256,
|
199 |
"eval_loss": Infinity,
|
200 |
+
"eval_runtime": 189.4769,
|
201 |
+
"eval_samples_per_second": 37.06,
|
202 |
+
"eval_steps_per_second": 4.634,
|
203 |
+
"eval_wer": 0.3583940373703141,
|
204 |
"step": 3400
|
205 |
},
|
206 |
{
|
207 |
+
"epoch": 2.7027027027027026,
|
208 |
+
"grad_norm": 1.4725390672683716,
|
209 |
+
"learning_rate": 0.00013712727272727272,
|
210 |
+
"loss": 0.4694,
|
211 |
"step": 3500
|
212 |
},
|
213 |
{
|
214 |
+
"epoch": 2.7799227799227797,
|
215 |
"eval_loss": Infinity,
|
216 |
+
"eval_runtime": 189.6126,
|
217 |
+
"eval_samples_per_second": 37.033,
|
218 |
+
"eval_steps_per_second": 4.63,
|
219 |
+
"eval_wer": 0.3820783504083726,
|
220 |
"step": 3600
|
221 |
},
|
222 |
{
|
223 |
+
"epoch": 2.9343629343629343,
|
224 |
"eval_loss": Infinity,
|
225 |
+
"eval_runtime": 190.0131,
|
226 |
+
"eval_samples_per_second": 36.955,
|
227 |
+
"eval_steps_per_second": 4.621,
|
228 |
+
"eval_wer": 0.4729850804409645,
|
229 |
"step": 3800
|
230 |
},
|
231 |
{
|
232 |
+
"epoch": 3.088803088803089,
|
233 |
+
"grad_norm": 14.039852142333984,
|
234 |
+
"learning_rate": 0.0001099090909090909,
|
235 |
+
"loss": 0.6537,
|
236 |
"step": 4000
|
237 |
},
|
238 |
{
|
239 |
+
"epoch": 3.088803088803089,
|
240 |
"eval_loss": Infinity,
|
241 |
+
"eval_runtime": 189.7145,
|
242 |
+
"eval_samples_per_second": 37.014,
|
243 |
+
"eval_steps_per_second": 4.628,
|
244 |
+
"eval_wer": 0.4753613026372171,
|
245 |
"step": 4000
|
246 |
},
|
247 |
{
|
248 |
+
"epoch": 3.2432432432432434,
|
249 |
"eval_loss": Infinity,
|
250 |
+
"eval_runtime": 189.6267,
|
251 |
+
"eval_samples_per_second": 37.031,
|
252 |
+
"eval_steps_per_second": 4.63,
|
253 |
+
"eval_wer": 0.5899263760663784,
|
254 |
"step": 4200
|
255 |
},
|
256 |
{
|
257 |
+
"epoch": 3.3976833976833976,
|
258 |
"eval_loss": Infinity,
|
259 |
+
"eval_runtime": 189.2072,
|
260 |
+
"eval_samples_per_second": 37.113,
|
261 |
+
"eval_steps_per_second": 4.64,
|
262 |
+
"eval_wer": 0.5957565605806812,
|
263 |
"step": 4400
|
264 |
},
|
265 |
{
|
266 |
+
"epoch": 3.474903474903475,
|
267 |
+
"grad_norm": 15.850507736206055,
|
268 |
+
"learning_rate": 8.269090909090907e-05,
|
269 |
+
"loss": 0.8238,
|
270 |
"step": 4500
|
271 |
},
|
272 |
{
|
273 |
+
"epoch": 3.552123552123552,
|
274 |
"eval_loss": Infinity,
|
275 |
+
"eval_runtime": 188.9868,
|
276 |
+
"eval_samples_per_second": 37.156,
|
277 |
+
"eval_steps_per_second": 4.646,
|
278 |
+
"eval_wer": 0.633646267513277,
|
279 |
"step": 4600
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 3.7065637065637067,
|
283 |
"eval_loss": Infinity,
|
284 |
+
"eval_runtime": 190.0461,
|
285 |
+
"eval_samples_per_second": 36.949,
|
286 |
+
"eval_steps_per_second": 4.62,
|
287 |
+
"eval_wer": 0.6025865762923143,
|
288 |
"step": 4800
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 3.861003861003861,
|
292 |
+
"grad_norm": 6.711777687072754,
|
293 |
+
"learning_rate": 5.547272727272727e-05,
|
294 |
+
"loss": 0.8682,
|
295 |
"step": 5000
|
296 |
},
|
297 |
{
|
298 |
+
"epoch": 3.861003861003861,
|
299 |
"eval_loss": Infinity,
|
300 |
+
"eval_runtime": 189.1358,
|
301 |
+
"eval_samples_per_second": 37.127,
|
302 |
+
"eval_steps_per_second": 4.642,
|
303 |
+
"eval_wer": 0.5671380156596938,
|
304 |
"step": 5000
|
305 |
},
|
306 |
{
|
307 |
+
"epoch": 4.015444015444015,
|
308 |
"eval_loss": Infinity,
|
309 |
+
"eval_runtime": 190.8009,
|
310 |
+
"eval_samples_per_second": 36.803,
|
311 |
+
"eval_steps_per_second": 4.602,
|
312 |
+
"eval_wer": 0.5377923207770117,
|
313 |
"step": 5200
|
314 |
},
|
315 |
{
|
316 |
+
"epoch": 4.1698841698841695,
|
317 |
"eval_loss": Infinity,
|
318 |
+
"eval_runtime": 189.3706,
|
319 |
+
"eval_samples_per_second": 37.081,
|
320 |
+
"eval_steps_per_second": 4.636,
|
321 |
+
"eval_wer": 0.5373638216924416,
|
322 |
"step": 5400
|
323 |
},
|
324 |
{
|
325 |
+
"epoch": 4.2471042471042475,
|
326 |
+
"grad_norm": 6.047791957855225,
|
327 |
+
"learning_rate": 2.8309090909090903e-05,
|
328 |
+
"loss": 0.855,
|
329 |
"step": 5500
|
330 |
},
|
331 |
{
|
332 |
+
"epoch": 4.324324324324325,
|
333 |
"eval_loss": Infinity,
|
334 |
+
"eval_runtime": 189.8451,
|
335 |
+
"eval_samples_per_second": 36.988,
|
336 |
+
"eval_steps_per_second": 4.625,
|
337 |
+
"eval_wer": 0.5328451040733383,
|
338 |
"step": 5600
|
339 |
},
|
340 |
{
|
341 |
+
"epoch": 4.478764478764479,
|
342 |
"eval_loss": Infinity,
|
343 |
+
"eval_runtime": 190.1917,
|
344 |
+
"eval_samples_per_second": 36.921,
|
345 |
+
"eval_steps_per_second": 4.616,
|
346 |
+
"eval_wer": 0.5225351564021659,
|
347 |
"step": 5800
|
348 |
},
|
349 |
{
|
350 |
+
"epoch": 4.633204633204633,
|
351 |
+
"grad_norm": 9.171218872070312,
|
352 |
+
"learning_rate": 1.0363636363636363e-06,
|
353 |
+
"loss": 0.9644,
|
354 |
"step": 6000
|
355 |
},
|
356 |
{
|
357 |
+
"epoch": 4.633204633204633,
|
358 |
"eval_loss": Infinity,
|
359 |
+
"eval_runtime": 190.3777,
|
360 |
+
"eval_samples_per_second": 36.885,
|
361 |
+
"eval_steps_per_second": 4.612,
|
362 |
+
"eval_wer": 0.5237557295521535,
|
363 |
"step": 6000
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 4.633204633204633,
|
367 |
"step": 6000,
|
368 |
+
"total_flos": 2.5308493485736165e+19,
|
369 |
+
"train_loss": 0.9557839482625325,
|
370 |
+
"train_runtime": 12299.0724,
|
371 |
+
"train_samples_per_second": 15.611,
|
372 |
+
"train_steps_per_second": 0.488
|
373 |
}
|
374 |
],
|
375 |
"logging_steps": 500,
|
376 |
"max_steps": 6000,
|
377 |
"num_input_tokens_seen": 0,
|
378 |
+
"num_train_epochs": 5,
|
379 |
"save_steps": 500,
|
380 |
"stateful_callbacks": {
|
381 |
"TrainerControl": {
|
|
|
389 |
"attributes": {}
|
390 |
}
|
391 |
},
|
392 |
+
"total_flos": 2.5308493485736165e+19,
|
393 |
+
"train_batch_size": 32,
|
394 |
"trial_name": null,
|
395 |
"trial_params": null
|
396 |
}
|