End of training
Browse files- README.md +5 -3
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +295 -0
README.md
CHANGED
@@ -3,6 +3,8 @@ library_name: transformers
|
|
3 |
license: apache-2.0
|
4 |
base_model: facebook/wav2vec2-xls-r-1b
|
5 |
tags:
|
|
|
|
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- wer
|
@@ -16,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# xls-r-1b-bem-genbed-f-model
|
18 |
|
19 |
-
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
-
- Wer: 0.
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: facebook/wav2vec2-xls-r-1b
|
5 |
tags:
|
6 |
+
- automatic-speech-recognition
|
7 |
+
- genbed
|
8 |
- generated_from_trainer
|
9 |
metrics:
|
10 |
- wer
|
|
|
18 |
|
19 |
# xls-r-1b-bem-genbed-f-model
|
20 |
|
21 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the GENBED - BEM dataset.
|
22 |
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 0.3137
|
24 |
+
- Wer: 0.5529
|
25 |
|
26 |
## Model description
|
27 |
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.575342465753424,
|
3 |
+
"eval_loss": 0.31370314955711365,
|
4 |
+
"eval_runtime": 63.3736,
|
5 |
+
"eval_samples": 970,
|
6 |
+
"eval_samples_per_second": 15.306,
|
7 |
+
"eval_steps_per_second": 1.925,
|
8 |
+
"eval_wer": 0.5529057900956064,
|
9 |
+
"total_flos": 1.1217868566953175e+19,
|
10 |
+
"train_loss": 0.6952082284291585,
|
11 |
+
"train_runtime": 4252.7781,
|
12 |
+
"train_samples": 2917,
|
13 |
+
"train_samples_per_second": 20.577,
|
14 |
+
"train_steps_per_second": 2.575
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.575342465753424,
|
3 |
+
"eval_loss": 0.31370314955711365,
|
4 |
+
"eval_runtime": 63.3736,
|
5 |
+
"eval_samples": 970,
|
6 |
+
"eval_samples_per_second": 15.306,
|
7 |
+
"eval_steps_per_second": 1.925,
|
8 |
+
"eval_wer": 0.5529057900956064
|
9 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 6.575342465753424,
|
3 |
+
"total_flos": 1.1217868566953175e+19,
|
4 |
+
"train_loss": 0.6952082284291585,
|
5 |
+
"train_runtime": 4252.7781,
|
6 |
+
"train_samples": 2917,
|
7 |
+
"train_samples_per_second": 20.577,
|
8 |
+
"train_steps_per_second": 2.575
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,295 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.31370314955711365,
|
3 |
+
"best_model_checkpoint": "/scratch/skscla001/results/xls-r-1b-bem-genbed-f-model/checkpoint-2000",
|
4 |
+
"epoch": 6.575342465753424,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 2400,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.273972602739726,
|
13 |
+
"eval_loss": 3.0377819538116455,
|
14 |
+
"eval_runtime": 63.0932,
|
15 |
+
"eval_samples_per_second": 15.374,
|
16 |
+
"eval_steps_per_second": 1.934,
|
17 |
+
"eval_wer": 1.0,
|
18 |
+
"step": 100
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 0.547945205479452,
|
22 |
+
"eval_loss": 0.8302333950996399,
|
23 |
+
"eval_runtime": 63.0983,
|
24 |
+
"eval_samples_per_second": 15.373,
|
25 |
+
"eval_steps_per_second": 1.933,
|
26 |
+
"eval_wer": 0.9818455258352132,
|
27 |
+
"step": 200
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.821917808219178,
|
31 |
+
"eval_loss": 0.6783275008201599,
|
32 |
+
"eval_runtime": 63.062,
|
33 |
+
"eval_samples_per_second": 15.382,
|
34 |
+
"eval_steps_per_second": 1.935,
|
35 |
+
"eval_wer": 0.9103018584165861,
|
36 |
+
"step": 300
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 1.095890410958904,
|
40 |
+
"eval_loss": 0.5512491464614868,
|
41 |
+
"eval_runtime": 62.9709,
|
42 |
+
"eval_samples_per_second": 15.404,
|
43 |
+
"eval_steps_per_second": 1.937,
|
44 |
+
"eval_wer": 0.8720592974540767,
|
45 |
+
"step": 400
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 1.36986301369863,
|
49 |
+
"grad_norm": 1.8127524852752686,
|
50 |
+
"learning_rate": 0.0002982,
|
51 |
+
"loss": 1.8782,
|
52 |
+
"step": 500
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 1.36986301369863,
|
56 |
+
"eval_loss": 0.5296033024787903,
|
57 |
+
"eval_runtime": 62.9931,
|
58 |
+
"eval_samples_per_second": 15.399,
|
59 |
+
"eval_steps_per_second": 1.937,
|
60 |
+
"eval_wer": 0.8568052422386937,
|
61 |
+
"step": 500
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 1.643835616438356,
|
65 |
+
"eval_loss": 0.44133469462394714,
|
66 |
+
"eval_runtime": 63.0857,
|
67 |
+
"eval_samples_per_second": 15.376,
|
68 |
+
"eval_steps_per_second": 1.934,
|
69 |
+
"eval_wer": 0.7332688795789022,
|
70 |
+
"step": 600
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 1.9178082191780823,
|
74 |
+
"eval_loss": 0.4747186303138733,
|
75 |
+
"eval_runtime": 62.7711,
|
76 |
+
"eval_samples_per_second": 15.453,
|
77 |
+
"eval_steps_per_second": 1.944,
|
78 |
+
"eval_wer": 0.7614136856805243,
|
79 |
+
"step": 700
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 2.191780821917808,
|
83 |
+
"eval_loss": 0.38835805654525757,
|
84 |
+
"eval_runtime": 62.8716,
|
85 |
+
"eval_samples_per_second": 15.428,
|
86 |
+
"eval_steps_per_second": 1.94,
|
87 |
+
"eval_wer": 0.6666666666666666,
|
88 |
+
"step": 800
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 2.4657534246575343,
|
92 |
+
"eval_loss": 0.35773810744285583,
|
93 |
+
"eval_runtime": 63.1283,
|
94 |
+
"eval_samples_per_second": 15.366,
|
95 |
+
"eval_steps_per_second": 1.933,
|
96 |
+
"eval_wer": 0.6355140186915887,
|
97 |
+
"step": 900
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 2.73972602739726,
|
101 |
+
"grad_norm": 0.8247061371803284,
|
102 |
+
"learning_rate": 0.0002857320574162679,
|
103 |
+
"loss": 0.5114,
|
104 |
+
"step": 1000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 2.73972602739726,
|
108 |
+
"eval_loss": 0.35849785804748535,
|
109 |
+
"eval_runtime": 63.6369,
|
110 |
+
"eval_samples_per_second": 15.243,
|
111 |
+
"eval_steps_per_second": 1.917,
|
112 |
+
"eval_wer": 0.632076485121925,
|
113 |
+
"step": 1000
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 3.0136986301369864,
|
117 |
+
"eval_loss": 0.3641321659088135,
|
118 |
+
"eval_runtime": 64.0158,
|
119 |
+
"eval_samples_per_second": 15.153,
|
120 |
+
"eval_steps_per_second": 1.906,
|
121 |
+
"eval_wer": 0.6606509829197551,
|
122 |
+
"step": 1100
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 3.287671232876712,
|
126 |
+
"eval_loss": 0.3812738358974457,
|
127 |
+
"eval_runtime": 63.4185,
|
128 |
+
"eval_samples_per_second": 15.295,
|
129 |
+
"eval_steps_per_second": 1.924,
|
130 |
+
"eval_wer": 0.7282200021484585,
|
131 |
+
"step": 1200
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 3.5616438356164384,
|
135 |
+
"eval_loss": 0.38292980194091797,
|
136 |
+
"eval_runtime": 63.3868,
|
137 |
+
"eval_samples_per_second": 15.303,
|
138 |
+
"eval_steps_per_second": 1.925,
|
139 |
+
"eval_wer": 0.7085616070469438,
|
140 |
+
"step": 1300
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 3.8356164383561646,
|
144 |
+
"eval_loss": 0.36824819445610046,
|
145 |
+
"eval_runtime": 64.0552,
|
146 |
+
"eval_samples_per_second": 15.143,
|
147 |
+
"eval_steps_per_second": 1.905,
|
148 |
+
"eval_wer": 0.6413148565903964,
|
149 |
+
"step": 1400
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 4.109589041095891,
|
153 |
+
"grad_norm": 0.8130350112915039,
|
154 |
+
"learning_rate": 0.000271377990430622,
|
155 |
+
"loss": 0.3931,
|
156 |
+
"step": 1500
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 4.109589041095891,
|
160 |
+
"eval_loss": 0.3526601195335388,
|
161 |
+
"eval_runtime": 63.2057,
|
162 |
+
"eval_samples_per_second": 15.347,
|
163 |
+
"eval_steps_per_second": 1.93,
|
164 |
+
"eval_wer": 0.6220861531850898,
|
165 |
+
"step": 1500
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 4.383561643835616,
|
169 |
+
"eval_loss": 0.34812936186790466,
|
170 |
+
"eval_runtime": 63.2206,
|
171 |
+
"eval_samples_per_second": 15.343,
|
172 |
+
"eval_steps_per_second": 1.93,
|
173 |
+
"eval_wer": 0.6297131807927812,
|
174 |
+
"step": 1600
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 4.657534246575342,
|
178 |
+
"eval_loss": 0.3540855944156647,
|
179 |
+
"eval_runtime": 63.557,
|
180 |
+
"eval_samples_per_second": 15.262,
|
181 |
+
"eval_steps_per_second": 1.92,
|
182 |
+
"eval_wer": 0.6192931571597379,
|
183 |
+
"step": 1700
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 4.931506849315069,
|
187 |
+
"eval_loss": 0.3354911208152771,
|
188 |
+
"eval_runtime": 63.9409,
|
189 |
+
"eval_samples_per_second": 15.17,
|
190 |
+
"eval_steps_per_second": 1.908,
|
191 |
+
"eval_wer": 0.6242346116661296,
|
192 |
+
"step": 1800
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 5.205479452054795,
|
196 |
+
"eval_loss": 0.3339410722255707,
|
197 |
+
"eval_runtime": 64.696,
|
198 |
+
"eval_samples_per_second": 14.993,
|
199 |
+
"eval_steps_per_second": 1.886,
|
200 |
+
"eval_wer": 0.5800837898807606,
|
201 |
+
"step": 1900
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 5.47945205479452,
|
205 |
+
"grad_norm": 0.5992590188980103,
|
206 |
+
"learning_rate": 0.0002570239234449761,
|
207 |
+
"loss": 0.3293,
|
208 |
+
"step": 2000
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 5.47945205479452,
|
212 |
+
"eval_loss": 0.31370314955711365,
|
213 |
+
"eval_runtime": 64.3752,
|
214 |
+
"eval_samples_per_second": 15.068,
|
215 |
+
"eval_steps_per_second": 1.895,
|
216 |
+
"eval_wer": 0.5529057900956064,
|
217 |
+
"step": 2000
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 5.7534246575342465,
|
221 |
+
"eval_loss": 0.3132256865501404,
|
222 |
+
"eval_runtime": 63.6862,
|
223 |
+
"eval_samples_per_second": 15.231,
|
224 |
+
"eval_steps_per_second": 1.916,
|
225 |
+
"eval_wer": 0.5822322483618004,
|
226 |
+
"step": 2100
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 6.027397260273973,
|
230 |
+
"eval_loss": 0.31450605392456055,
|
231 |
+
"eval_runtime": 64.6472,
|
232 |
+
"eval_samples_per_second": 15.005,
|
233 |
+
"eval_steps_per_second": 1.887,
|
234 |
+
"eval_wer": 0.5676227306907294,
|
235 |
+
"step": 2200
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 6.301369863013699,
|
239 |
+
"eval_loss": 0.3282639682292938,
|
240 |
+
"eval_runtime": 63.5382,
|
241 |
+
"eval_samples_per_second": 15.266,
|
242 |
+
"eval_steps_per_second": 1.92,
|
243 |
+
"eval_wer": 0.5960898055645074,
|
244 |
+
"step": 2300
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 6.575342465753424,
|
248 |
+
"eval_loss": 0.32465773820877075,
|
249 |
+
"eval_runtime": 64.1901,
|
250 |
+
"eval_samples_per_second": 15.111,
|
251 |
+
"eval_steps_per_second": 1.901,
|
252 |
+
"eval_wer": 0.5987753786658073,
|
253 |
+
"step": 2400
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 6.575342465753424,
|
257 |
+
"step": 2400,
|
258 |
+
"total_flos": 1.1217868566953175e+19,
|
259 |
+
"train_loss": 0.6952082284291585,
|
260 |
+
"train_runtime": 4252.7781,
|
261 |
+
"train_samples_per_second": 20.577,
|
262 |
+
"train_steps_per_second": 2.575
|
263 |
+
}
|
264 |
+
],
|
265 |
+
"logging_steps": 500,
|
266 |
+
"max_steps": 10950,
|
267 |
+
"num_input_tokens_seen": 0,
|
268 |
+
"num_train_epochs": 30,
|
269 |
+
"save_steps": 400,
|
270 |
+
"stateful_callbacks": {
|
271 |
+
"EarlyStoppingCallback": {
|
272 |
+
"args": {
|
273 |
+
"early_stopping_patience": 3,
|
274 |
+
"early_stopping_threshold": 0.0
|
275 |
+
},
|
276 |
+
"attributes": {
|
277 |
+
"early_stopping_patience_counter": 3
|
278 |
+
}
|
279 |
+
},
|
280 |
+
"TrainerControl": {
|
281 |
+
"args": {
|
282 |
+
"should_epoch_stop": false,
|
283 |
+
"should_evaluate": false,
|
284 |
+
"should_log": false,
|
285 |
+
"should_save": true,
|
286 |
+
"should_training_stop": true
|
287 |
+
},
|
288 |
+
"attributes": {}
|
289 |
+
}
|
290 |
+
},
|
291 |
+
"total_flos": 1.1217868566953175e+19,
|
292 |
+
"train_batch_size": 4,
|
293 |
+
"trial_name": null,
|
294 |
+
"trial_params": null
|
295 |
+
}
|