DewiBrynJones
commited on
Commit
•
f0086d4
1
Parent(s):
19c2f80
End of training
Browse files- README.md +3 -1
- all_results.json +15 -0
- eval_results.json +9 -0
- runs/Jun18_09-27-31_e5e1c7749807/events.out.tfevents.1718706726.e5e1c7749807.197.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +311 -0
README.md
CHANGED
@@ -1,6 +1,8 @@
|
|
1 |
---
|
2 |
base_model: DewiBrynJones/wav2vec2-cpt-base-cy
|
3 |
tags:
|
|
|
|
|
4 |
- generated_from_trainer
|
5 |
metrics:
|
6 |
- wer
|
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# wav2vec2-cpt-base-cy-ft-btb-cy
|
16 |
|
17 |
-
This model is a fine-tuned version of [DewiBrynJones/wav2vec2-cpt-base-cy](https://huggingface.co/DewiBrynJones/wav2vec2-cpt-base-cy) on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
- Loss: 2.9537
|
20 |
- Wer: 1.0
|
|
|
1 |
---
|
2 |
base_model: DewiBrynJones/wav2vec2-cpt-base-cy
|
3 |
tags:
|
4 |
+
- automatic-speech-recognition
|
5 |
+
- DewiBrynJones/banc-trawsgrifiadau-bangor-normalized
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- wer
|
|
|
16 |
|
17 |
# wav2vec2-cpt-base-cy-ft-btb-cy
|
18 |
|
19 |
+
This model is a fine-tuned version of [DewiBrynJones/wav2vec2-cpt-base-cy](https://huggingface.co/DewiBrynJones/wav2vec2-cpt-base-cy) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-NORMALIZED - DEFAULT dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 2.9537
|
22 |
- Wer: 1.0
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.6775106082036775,
|
3 |
+
"eval_loss": 2.9536802768707275,
|
4 |
+
"eval_runtime": 154.1471,
|
5 |
+
"eval_samples": 5656,
|
6 |
+
"eval_samples_per_second": 36.692,
|
7 |
+
"eval_steps_per_second": 4.587,
|
8 |
+
"eval_wer": 1.0,
|
9 |
+
"total_flos": 9.931497341662648e+18,
|
10 |
+
"train_loss": 3.129935314471905,
|
11 |
+
"train_runtime": 6863.5717,
|
12 |
+
"train_samples": 22621,
|
13 |
+
"train_samples_per_second": 12.122,
|
14 |
+
"train_steps_per_second": 0.379
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.6775106082036775,
|
3 |
+
"eval_loss": 2.9536802768707275,
|
4 |
+
"eval_runtime": 154.1471,
|
5 |
+
"eval_samples": 5656,
|
6 |
+
"eval_samples_per_second": 36.692,
|
7 |
+
"eval_steps_per_second": 4.587,
|
8 |
+
"eval_wer": 1.0
|
9 |
+
}
|
runs/Jun18_09-27-31_e5e1c7749807/events.out.tfevents.1718706726.e5e1c7749807.197.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bdfe4fea55d6e483ec3ec62ee7da206650e6221251ff8d2e7ac7bb7816264a91
|
3 |
+
size 406
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.6775106082036775,
|
3 |
+
"total_flos": 9.931497341662648e+18,
|
4 |
+
"train_loss": 3.129935314471905,
|
5 |
+
"train_runtime": 6863.5717,
|
6 |
+
"train_samples": 22621,
|
7 |
+
"train_samples_per_second": 12.122,
|
8 |
+
"train_steps_per_second": 0.379
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,311 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.6775106082036775,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 2600,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.14144271570014144,
|
13 |
+
"eval_loss": 4.10262393951416,
|
14 |
+
"eval_runtime": 154.9611,
|
15 |
+
"eval_samples_per_second": 36.499,
|
16 |
+
"eval_steps_per_second": 4.562,
|
17 |
+
"eval_wer": 1.0,
|
18 |
+
"step": 100
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 0.2828854314002829,
|
22 |
+
"eval_loss": 3.3531899452209473,
|
23 |
+
"eval_runtime": 152.1716,
|
24 |
+
"eval_samples_per_second": 37.169,
|
25 |
+
"eval_steps_per_second": 4.646,
|
26 |
+
"eval_wer": 1.0,
|
27 |
+
"step": 200
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.4243281471004243,
|
31 |
+
"eval_loss": 3.2421672344207764,
|
32 |
+
"eval_runtime": 153.7959,
|
33 |
+
"eval_samples_per_second": 36.776,
|
34 |
+
"eval_steps_per_second": 4.597,
|
35 |
+
"eval_wer": 1.0,
|
36 |
+
"step": 300
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.5657708628005658,
|
40 |
+
"eval_loss": 3.0640172958374023,
|
41 |
+
"eval_runtime": 153.0843,
|
42 |
+
"eval_samples_per_second": 36.947,
|
43 |
+
"eval_steps_per_second": 4.618,
|
44 |
+
"eval_wer": 1.0,
|
45 |
+
"step": 400
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.7072135785007072,
|
49 |
+
"grad_norm": 5.922334671020508,
|
50 |
+
"learning_rate": 0.0002964,
|
51 |
+
"loss": 3.608,
|
52 |
+
"step": 500
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.7072135785007072,
|
56 |
+
"eval_loss": 3.2418580055236816,
|
57 |
+
"eval_runtime": 154.0057,
|
58 |
+
"eval_samples_per_second": 36.726,
|
59 |
+
"eval_steps_per_second": 4.591,
|
60 |
+
"eval_wer": 1.0,
|
61 |
+
"step": 500
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.8486562942008486,
|
65 |
+
"eval_loss": 3.225853204727173,
|
66 |
+
"eval_runtime": 154.2356,
|
67 |
+
"eval_samples_per_second": 36.671,
|
68 |
+
"eval_steps_per_second": 4.584,
|
69 |
+
"eval_wer": 1.0,
|
70 |
+
"step": 600
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 0.9900990099009901,
|
74 |
+
"eval_loss": 3.090954303741455,
|
75 |
+
"eval_runtime": 152.9981,
|
76 |
+
"eval_samples_per_second": 36.968,
|
77 |
+
"eval_steps_per_second": 4.621,
|
78 |
+
"eval_wer": 1.0,
|
79 |
+
"step": 700
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.1315417256011315,
|
83 |
+
"eval_loss": 2.974919557571411,
|
84 |
+
"eval_runtime": 154.1252,
|
85 |
+
"eval_samples_per_second": 36.697,
|
86 |
+
"eval_steps_per_second": 4.587,
|
87 |
+
"eval_wer": 1.0,
|
88 |
+
"step": 800
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 1.272984441301273,
|
92 |
+
"eval_loss": 2.970212697982788,
|
93 |
+
"eval_runtime": 154.8782,
|
94 |
+
"eval_samples_per_second": 36.519,
|
95 |
+
"eval_steps_per_second": 4.565,
|
96 |
+
"eval_wer": 1.0,
|
97 |
+
"step": 900
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 1.4144271570014144,
|
101 |
+
"grad_norm": 1.7771501541137695,
|
102 |
+
"learning_rate": 0.0002294285714285714,
|
103 |
+
"loss": 3.0077,
|
104 |
+
"step": 1000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.4144271570014144,
|
108 |
+
"eval_loss": 2.977414846420288,
|
109 |
+
"eval_runtime": 154.2248,
|
110 |
+
"eval_samples_per_second": 36.674,
|
111 |
+
"eval_steps_per_second": 4.584,
|
112 |
+
"eval_wer": 1.0,
|
113 |
+
"step": 1000
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.5558698727015559,
|
117 |
+
"eval_loss": 2.9689409732818604,
|
118 |
+
"eval_runtime": 154.7038,
|
119 |
+
"eval_samples_per_second": 36.56,
|
120 |
+
"eval_steps_per_second": 4.57,
|
121 |
+
"eval_wer": 1.0,
|
122 |
+
"step": 1100
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.6973125884016973,
|
126 |
+
"eval_loss": 2.96563458442688,
|
127 |
+
"eval_runtime": 155.7804,
|
128 |
+
"eval_samples_per_second": 36.308,
|
129 |
+
"eval_steps_per_second": 4.538,
|
130 |
+
"eval_wer": 1.0,
|
131 |
+
"step": 1200
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.8387553041018387,
|
135 |
+
"eval_loss": 2.998167037963867,
|
136 |
+
"eval_runtime": 154.8051,
|
137 |
+
"eval_samples_per_second": 36.536,
|
138 |
+
"eval_steps_per_second": 4.567,
|
139 |
+
"eval_wer": 1.0,
|
140 |
+
"step": 1300
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.9801980198019802,
|
144 |
+
"eval_loss": 2.9851789474487305,
|
145 |
+
"eval_runtime": 157.281,
|
146 |
+
"eval_samples_per_second": 35.961,
|
147 |
+
"eval_steps_per_second": 4.495,
|
148 |
+
"eval_wer": 1.0,
|
149 |
+
"step": 1400
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 2.1216407355021216,
|
153 |
+
"grad_norm": 1.3770530223846436,
|
154 |
+
"learning_rate": 0.0001584285714285714,
|
155 |
+
"loss": 2.9933,
|
156 |
+
"step": 1500
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 2.1216407355021216,
|
160 |
+
"eval_loss": 2.983766555786133,
|
161 |
+
"eval_runtime": 154.5498,
|
162 |
+
"eval_samples_per_second": 36.597,
|
163 |
+
"eval_steps_per_second": 4.575,
|
164 |
+
"eval_wer": 1.0,
|
165 |
+
"step": 1500
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 2.263083451202263,
|
169 |
+
"eval_loss": 2.9718267917633057,
|
170 |
+
"eval_runtime": 154.4047,
|
171 |
+
"eval_samples_per_second": 36.631,
|
172 |
+
"eval_steps_per_second": 4.579,
|
173 |
+
"eval_wer": 1.0,
|
174 |
+
"step": 1600
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 2.4045261669024045,
|
178 |
+
"eval_loss": 2.9711246490478516,
|
179 |
+
"eval_runtime": 156.2998,
|
180 |
+
"eval_samples_per_second": 36.187,
|
181 |
+
"eval_steps_per_second": 4.523,
|
182 |
+
"eval_wer": 1.0,
|
183 |
+
"step": 1700
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 2.545968882602546,
|
187 |
+
"eval_loss": 2.9617552757263184,
|
188 |
+
"eval_runtime": 156.1331,
|
189 |
+
"eval_samples_per_second": 36.226,
|
190 |
+
"eval_steps_per_second": 4.528,
|
191 |
+
"eval_wer": 1.0,
|
192 |
+
"step": 1800
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 2.6874115983026874,
|
196 |
+
"eval_loss": 2.9542484283447266,
|
197 |
+
"eval_runtime": 155.1742,
|
198 |
+
"eval_samples_per_second": 36.449,
|
199 |
+
"eval_steps_per_second": 4.556,
|
200 |
+
"eval_wer": 1.0,
|
201 |
+
"step": 1900
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2.828854314002829,
|
205 |
+
"grad_norm": 2.6072192192077637,
|
206 |
+
"learning_rate": 8.742857142857142e-05,
|
207 |
+
"loss": 3.0924,
|
208 |
+
"step": 2000
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 2.828854314002829,
|
212 |
+
"eval_loss": 2.9699807167053223,
|
213 |
+
"eval_runtime": 156.7707,
|
214 |
+
"eval_samples_per_second": 36.078,
|
215 |
+
"eval_steps_per_second": 4.51,
|
216 |
+
"eval_wer": 1.0,
|
217 |
+
"step": 2000
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 2.9702970297029703,
|
221 |
+
"eval_loss": 2.9556074142456055,
|
222 |
+
"eval_runtime": 156.4942,
|
223 |
+
"eval_samples_per_second": 36.142,
|
224 |
+
"eval_steps_per_second": 4.518,
|
225 |
+
"eval_wer": 1.0,
|
226 |
+
"step": 2100
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 3.1117397454031117,
|
230 |
+
"eval_loss": 2.947584629058838,
|
231 |
+
"eval_runtime": 156.7459,
|
232 |
+
"eval_samples_per_second": 36.084,
|
233 |
+
"eval_steps_per_second": 4.51,
|
234 |
+
"eval_wer": 1.0,
|
235 |
+
"step": 2200
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 3.253182461103253,
|
239 |
+
"eval_loss": 2.9511587619781494,
|
240 |
+
"eval_runtime": 156.6674,
|
241 |
+
"eval_samples_per_second": 36.102,
|
242 |
+
"eval_steps_per_second": 4.513,
|
243 |
+
"eval_wer": 1.0,
|
244 |
+
"step": 2300
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 3.3946251768033946,
|
248 |
+
"eval_loss": 2.949030637741089,
|
249 |
+
"eval_runtime": 156.7295,
|
250 |
+
"eval_samples_per_second": 36.088,
|
251 |
+
"eval_steps_per_second": 4.511,
|
252 |
+
"eval_wer": 1.0,
|
253 |
+
"step": 2400
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 3.536067892503536,
|
257 |
+
"grad_norm": 5.350417613983154,
|
258 |
+
"learning_rate": 1.6285714285714283e-05,
|
259 |
+
"loss": 2.9765,
|
260 |
+
"step": 2500
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.536067892503536,
|
264 |
+
"eval_loss": 2.9975638389587402,
|
265 |
+
"eval_runtime": 157.876,
|
266 |
+
"eval_samples_per_second": 35.826,
|
267 |
+
"eval_steps_per_second": 4.478,
|
268 |
+
"eval_wer": 1.0,
|
269 |
+
"step": 2500
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3.6775106082036775,
|
273 |
+
"eval_loss": 2.9536802768707275,
|
274 |
+
"eval_runtime": 157.8256,
|
275 |
+
"eval_samples_per_second": 35.837,
|
276 |
+
"eval_steps_per_second": 4.48,
|
277 |
+
"eval_wer": 1.0,
|
278 |
+
"step": 2600
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 3.6775106082036775,
|
282 |
+
"step": 2600,
|
283 |
+
"total_flos": 9.931497341662648e+18,
|
284 |
+
"train_loss": 3.129935314471905,
|
285 |
+
"train_runtime": 6863.5717,
|
286 |
+
"train_samples_per_second": 12.122,
|
287 |
+
"train_steps_per_second": 0.379
|
288 |
+
}
|
289 |
+
],
|
290 |
+
"logging_steps": 500,
|
291 |
+
"max_steps": 2600,
|
292 |
+
"num_input_tokens_seen": 0,
|
293 |
+
"num_train_epochs": 4,
|
294 |
+
"save_steps": 400,
|
295 |
+
"stateful_callbacks": {
|
296 |
+
"TrainerControl": {
|
297 |
+
"args": {
|
298 |
+
"should_epoch_stop": false,
|
299 |
+
"should_evaluate": false,
|
300 |
+
"should_log": false,
|
301 |
+
"should_save": true,
|
302 |
+
"should_training_stop": false
|
303 |
+
},
|
304 |
+
"attributes": {}
|
305 |
+
}
|
306 |
+
},
|
307 |
+
"total_flos": 9.931497341662648e+18,
|
308 |
+
"train_batch_size": 16,
|
309 |
+
"trial_name": null,
|
310 |
+
"trial_params": null
|
311 |
+
}
|