nomnoos37/stt-turbo-1226-v1.4
Browse files- README.md +262 -0
- adapter_config.json +35 -0
- adapter_model.safetensors +3 -0
- preprocessor_config.json +14 -0
- runs/Dec29_08-32-47_gglabs-a6000/events.out.tfevents.1735479167.gglabs-a6000 +3 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,262 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
language:
|
4 |
+
- ko
|
5 |
+
license: mit
|
6 |
+
base_model: openai/whisper-large-v3-turbo
|
7 |
+
tags:
|
8 |
+
- generated_from_trainer
|
9 |
+
model-index:
|
10 |
+
- name: Whisper Small ko
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# Whisper Small ko
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom dataset.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.1904
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 0.0001
|
41 |
+
- train_batch_size: 64
|
42 |
+
- eval_batch_size: 256
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- lr_scheduler_warmup_steps: 200
|
47 |
+
- training_steps: 2000
|
48 |
+
- mixed_precision_training: Native AMP
|
49 |
+
|
50 |
+
### Training results
|
51 |
+
|
52 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
53 |
+
|:-------------:|:------:|:----:|:---------------:|
|
54 |
+
| 0.831 | 0.0319 | 10 | 1.5891 |
|
55 |
+
| 0.8371 | 0.0639 | 20 | 1.5741 |
|
56 |
+
| 0.8014 | 0.0958 | 30 | 1.5449 |
|
57 |
+
| 0.7445 | 0.1278 | 40 | 1.4933 |
|
58 |
+
| 0.6808 | 0.1597 | 50 | 1.3938 |
|
59 |
+
| 0.5229 | 0.1917 | 60 | 1.1658 |
|
60 |
+
| 0.3057 | 0.2236 | 70 | 0.9399 |
|
61 |
+
| 0.2167 | 0.2556 | 80 | 0.8860 |
|
62 |
+
| 0.1855 | 0.2875 | 90 | 0.8494 |
|
63 |
+
| 0.1614 | 0.3195 | 100 | 0.8240 |
|
64 |
+
| 0.1227 | 0.3514 | 110 | 0.7880 |
|
65 |
+
| 0.1179 | 0.3834 | 120 | 0.7530 |
|
66 |
+
| 0.0939 | 0.4153 | 130 | 0.7150 |
|
67 |
+
| 0.0857 | 0.4473 | 140 | 0.6848 |
|
68 |
+
| 0.0653 | 0.4792 | 150 | 0.6642 |
|
69 |
+
| 0.0779 | 0.5112 | 160 | 0.6487 |
|
70 |
+
| 0.0644 | 0.5431 | 170 | 0.6472 |
|
71 |
+
| 0.0701 | 0.5751 | 180 | 0.6389 |
|
72 |
+
| 0.0545 | 0.6070 | 190 | 0.6243 |
|
73 |
+
| 0.0606 | 0.6390 | 200 | 0.6031 |
|
74 |
+
| 0.0581 | 0.6709 | 210 | 0.5788 |
|
75 |
+
| 0.0582 | 0.7029 | 220 | 0.5645 |
|
76 |
+
| 0.0507 | 0.7348 | 230 | 0.5589 |
|
77 |
+
| 0.0476 | 0.7668 | 240 | 0.5435 |
|
78 |
+
| 0.0431 | 0.7987 | 250 | 0.5336 |
|
79 |
+
| 0.0452 | 0.8307 | 260 | 0.5239 |
|
80 |
+
| 0.0425 | 0.8626 | 270 | 0.5211 |
|
81 |
+
| 0.035 | 0.8946 | 280 | 0.5237 |
|
82 |
+
| 0.0413 | 0.9265 | 290 | 0.5049 |
|
83 |
+
| 0.0642 | 0.9585 | 300 | 0.4803 |
|
84 |
+
| 0.0356 | 0.9904 | 310 | 0.4834 |
|
85 |
+
| 0.0461 | 1.0224 | 320 | 0.4719 |
|
86 |
+
| 0.0321 | 1.0543 | 330 | 0.4745 |
|
87 |
+
| 0.0384 | 1.0863 | 340 | 0.4579 |
|
88 |
+
| 0.0363 | 1.1182 | 350 | 0.4500 |
|
89 |
+
| 0.0301 | 1.1502 | 360 | 0.4383 |
|
90 |
+
| 0.0469 | 1.1821 | 370 | 0.4324 |
|
91 |
+
| 0.0347 | 1.2141 | 380 | 0.4253 |
|
92 |
+
| 0.0307 | 1.2460 | 390 | 0.4142 |
|
93 |
+
| 0.0341 | 1.2780 | 400 | 0.4111 |
|
94 |
+
| 0.0252 | 1.3099 | 410 | 0.4044 |
|
95 |
+
| 0.0372 | 1.3419 | 420 | 0.4048 |
|
96 |
+
| 0.0346 | 1.3738 | 430 | 0.4000 |
|
97 |
+
| 0.029 | 1.4058 | 440 | 0.3963 |
|
98 |
+
| 0.0277 | 1.4377 | 450 | 0.3899 |
|
99 |
+
| 0.0322 | 1.4696 | 460 | 0.3875 |
|
100 |
+
| 0.0241 | 1.5016 | 470 | 0.3878 |
|
101 |
+
| 0.0424 | 1.5335 | 480 | 0.3835 |
|
102 |
+
| 0.0323 | 1.5655 | 490 | 0.3781 |
|
103 |
+
| 0.0456 | 1.5974 | 500 | 0.3796 |
|
104 |
+
| 0.0326 | 1.6294 | 510 | 0.3735 |
|
105 |
+
| 0.0318 | 1.6613 | 520 | 0.3689 |
|
106 |
+
| 0.03 | 1.6933 | 530 | 0.3510 |
|
107 |
+
| 0.0307 | 1.7252 | 540 | 0.3461 |
|
108 |
+
| 0.0318 | 1.7572 | 550 | 0.3425 |
|
109 |
+
| 0.03 | 1.7891 | 560 | 0.3332 |
|
110 |
+
| 0.0299 | 1.8211 | 570 | 0.3359 |
|
111 |
+
| 0.0262 | 1.8530 | 580 | 0.3376 |
|
112 |
+
| 0.0337 | 1.8850 | 590 | 0.3369 |
|
113 |
+
| 0.0344 | 1.9169 | 600 | 0.3427 |
|
114 |
+
| 0.0236 | 1.9489 | 610 | 0.3365 |
|
115 |
+
| 0.0229 | 1.9808 | 620 | 0.3318 |
|
116 |
+
| 0.0211 | 2.0128 | 630 | 0.3369 |
|
117 |
+
| 0.0248 | 2.0447 | 640 | 0.3299 |
|
118 |
+
| 0.0346 | 2.0767 | 650 | 0.3179 |
|
119 |
+
| 0.0223 | 2.1086 | 660 | 0.3230 |
|
120 |
+
| 0.0251 | 2.1406 | 670 | 0.3253 |
|
121 |
+
| 0.0192 | 2.1725 | 680 | 0.3259 |
|
122 |
+
| 0.0219 | 2.2045 | 690 | 0.3240 |
|
123 |
+
| 0.0284 | 2.2364 | 700 | 0.3269 |
|
124 |
+
| 0.0246 | 2.2684 | 710 | 0.3208 |
|
125 |
+
| 0.0281 | 2.3003 | 720 | 0.3202 |
|
126 |
+
| 0.0277 | 2.3323 | 730 | 0.3147 |
|
127 |
+
| 0.0249 | 2.3642 | 740 | 0.3068 |
|
128 |
+
| 0.0184 | 2.3962 | 750 | 0.3018 |
|
129 |
+
| 0.0279 | 2.4281 | 760 | 0.2991 |
|
130 |
+
| 0.0178 | 2.4601 | 770 | 0.2980 |
|
131 |
+
| 0.0234 | 2.4920 | 780 | 0.2977 |
|
132 |
+
| 0.0231 | 2.5240 | 790 | 0.2951 |
|
133 |
+
| 0.0242 | 2.5559 | 800 | 0.2949 |
|
134 |
+
| 0.0279 | 2.5879 | 810 | 0.2947 |
|
135 |
+
| 0.0216 | 2.6198 | 820 | 0.2950 |
|
136 |
+
| 0.0192 | 2.6518 | 830 | 0.2924 |
|
137 |
+
| 0.0273 | 2.6837 | 840 | 0.2881 |
|
138 |
+
| 0.0192 | 2.7157 | 850 | 0.2865 |
|
139 |
+
| 0.0267 | 2.7476 | 860 | 0.2822 |
|
140 |
+
| 0.0276 | 2.7796 | 870 | 0.2771 |
|
141 |
+
| 0.0234 | 2.8115 | 880 | 0.2784 |
|
142 |
+
| 0.0236 | 2.8435 | 890 | 0.2826 |
|
143 |
+
| 0.0255 | 2.8754 | 900 | 0.2762 |
|
144 |
+
| 0.0306 | 2.9073 | 910 | 0.2703 |
|
145 |
+
| 0.0213 | 2.9393 | 920 | 0.2699 |
|
146 |
+
| 0.0242 | 2.9712 | 930 | 0.2692 |
|
147 |
+
| 0.0231 | 3.0032 | 940 | 0.2690 |
|
148 |
+
| 0.0184 | 3.0351 | 950 | 0.2697 |
|
149 |
+
| 0.0145 | 3.0671 | 960 | 0.2674 |
|
150 |
+
| 0.0196 | 3.0990 | 970 | 0.2671 |
|
151 |
+
| 0.0205 | 3.1310 | 980 | 0.2668 |
|
152 |
+
| 0.0212 | 3.1629 | 990 | 0.2666 |
|
153 |
+
| 0.0218 | 3.1949 | 1000 | 0.2618 |
|
154 |
+
| 0.0202 | 3.2268 | 1010 | 0.2658 |
|
155 |
+
| 0.0187 | 3.2588 | 1020 | 0.2593 |
|
156 |
+
| 0.0161 | 3.2907 | 1030 | 0.2588 |
|
157 |
+
| 0.0175 | 3.3227 | 1040 | 0.2603 |
|
158 |
+
| 0.0162 | 3.3546 | 1050 | 0.2572 |
|
159 |
+
| 0.0346 | 3.3866 | 1060 | 0.2437 |
|
160 |
+
| 0.0199 | 3.4185 | 1070 | 0.2499 |
|
161 |
+
| 0.0235 | 3.4505 | 1080 | 0.2497 |
|
162 |
+
| 0.0175 | 3.4824 | 1090 | 0.2467 |
|
163 |
+
| 0.0187 | 3.5144 | 1100 | 0.2458 |
|
164 |
+
| 0.0171 | 3.5463 | 1110 | 0.2461 |
|
165 |
+
| 0.0189 | 3.5783 | 1120 | 0.2446 |
|
166 |
+
| 0.0229 | 3.6102 | 1130 | 0.2440 |
|
167 |
+
| 0.021 | 3.6422 | 1140 | 0.2422 |
|
168 |
+
| 0.0163 | 3.6741 | 1150 | 0.2400 |
|
169 |
+
| 0.0223 | 3.7061 | 1160 | 0.2406 |
|
170 |
+
| 0.0241 | 3.7380 | 1170 | 0.2367 |
|
171 |
+
| 0.0166 | 3.7700 | 1180 | 0.2372 |
|
172 |
+
| 0.0187 | 3.8019 | 1190 | 0.2378 |
|
173 |
+
| 0.0286 | 3.8339 | 1200 | 0.2396 |
|
174 |
+
| 0.0244 | 3.8658 | 1210 | 0.2357 |
|
175 |
+
| 0.0239 | 3.8978 | 1220 | 0.2317 |
|
176 |
+
| 0.026 | 3.9297 | 1230 | 0.2311 |
|
177 |
+
| 0.0203 | 3.9617 | 1240 | 0.2312 |
|
178 |
+
| 0.0177 | 3.9936 | 1250 | 0.2275 |
|
179 |
+
| 0.0199 | 4.0256 | 1260 | 0.2284 |
|
180 |
+
| 0.0174 | 4.0575 | 1270 | 0.2299 |
|
181 |
+
| 0.0195 | 4.0895 | 1280 | 0.2284 |
|
182 |
+
| 0.0167 | 4.1214 | 1290 | 0.2288 |
|
183 |
+
| 0.0197 | 4.1534 | 1300 | 0.2278 |
|
184 |
+
| 0.0194 | 4.1853 | 1310 | 0.2258 |
|
185 |
+
| 0.0233 | 4.2173 | 1320 | 0.2188 |
|
186 |
+
| 0.018 | 4.2492 | 1330 | 0.2154 |
|
187 |
+
| 0.0181 | 4.2812 | 1340 | 0.2146 |
|
188 |
+
| 0.0177 | 4.3131 | 1350 | 0.2157 |
|
189 |
+
| 0.0172 | 4.3450 | 1360 | 0.2168 |
|
190 |
+
| 0.02 | 4.3770 | 1370 | 0.2166 |
|
191 |
+
| 0.0144 | 4.4089 | 1380 | 0.2127 |
|
192 |
+
| 0.0166 | 4.4409 | 1390 | 0.2121 |
|
193 |
+
| 0.0183 | 4.4728 | 1400 | 0.2131 |
|
194 |
+
| 0.0159 | 4.5048 | 1410 | 0.2126 |
|
195 |
+
| 0.0137 | 4.5367 | 1420 | 0.2128 |
|
196 |
+
| 0.0218 | 4.5687 | 1430 | 0.2130 |
|
197 |
+
| 0.0145 | 4.6006 | 1440 | 0.2106 |
|
198 |
+
| 0.0192 | 4.6326 | 1450 | 0.2061 |
|
199 |
+
| 0.0134 | 4.6645 | 1460 | 0.2058 |
|
200 |
+
| 0.0204 | 4.6965 | 1470 | 0.2062 |
|
201 |
+
| 0.0157 | 4.7284 | 1480 | 0.2050 |
|
202 |
+
| 0.0142 | 4.7604 | 1490 | 0.2054 |
|
203 |
+
| 0.0192 | 4.7923 | 1500 | 0.2051 |
|
204 |
+
| 0.0137 | 4.8243 | 1510 | 0.2047 |
|
205 |
+
| 0.0296 | 4.8562 | 1520 | 0.2062 |
|
206 |
+
| 0.0176 | 4.8882 | 1530 | 0.2060 |
|
207 |
+
| 0.0146 | 4.9201 | 1540 | 0.2050 |
|
208 |
+
| 0.0197 | 4.9521 | 1550 | 0.2036 |
|
209 |
+
| 0.0173 | 4.9840 | 1560 | 0.2026 |
|
210 |
+
| 0.0183 | 5.0160 | 1570 | 0.2031 |
|
211 |
+
| 0.0177 | 5.0479 | 1580 | 0.2034 |
|
212 |
+
| 0.0145 | 5.0799 | 1590 | 0.2035 |
|
213 |
+
| 0.015 | 5.1118 | 1600 | 0.2024 |
|
214 |
+
| 0.0173 | 5.1438 | 1610 | 0.2015 |
|
215 |
+
| 0.0201 | 5.1757 | 1620 | 0.2015 |
|
216 |
+
| 0.0138 | 5.2077 | 1630 | 0.2017 |
|
217 |
+
| 0.0141 | 5.2396 | 1640 | 0.2012 |
|
218 |
+
| 0.0164 | 5.2716 | 1650 | 0.2015 |
|
219 |
+
| 0.0166 | 5.3035 | 1660 | 0.2004 |
|
220 |
+
| 0.0147 | 5.3355 | 1670 | 0.1997 |
|
221 |
+
| 0.0216 | 5.3674 | 1680 | 0.1997 |
|
222 |
+
| 0.0132 | 5.3994 | 1690 | 0.1990 |
|
223 |
+
| 0.0113 | 5.4313 | 1700 | 0.1980 |
|
224 |
+
| 0.0159 | 5.4633 | 1710 | 0.1977 |
|
225 |
+
| 0.0125 | 5.4952 | 1720 | 0.1978 |
|
226 |
+
| 0.0138 | 5.5272 | 1730 | 0.1973 |
|
227 |
+
| 0.0099 | 5.5591 | 1740 | 0.1972 |
|
228 |
+
| 0.0296 | 5.5911 | 1750 | 0.1969 |
|
229 |
+
| 0.0224 | 5.6230 | 1760 | 0.1961 |
|
230 |
+
| 0.0156 | 5.6550 | 1770 | 0.1952 |
|
231 |
+
| 0.0238 | 5.6869 | 1780 | 0.1944 |
|
232 |
+
| 0.0112 | 5.7188 | 1790 | 0.1940 |
|
233 |
+
| 0.0133 | 5.7508 | 1800 | 0.1935 |
|
234 |
+
| 0.0261 | 5.7827 | 1810 | 0.1924 |
|
235 |
+
| 0.0146 | 5.8147 | 1820 | 0.1919 |
|
236 |
+
| 0.0136 | 5.8466 | 1830 | 0.1921 |
|
237 |
+
| 0.0118 | 5.8786 | 1840 | 0.1913 |
|
238 |
+
| 0.0163 | 5.9105 | 1850 | 0.1914 |
|
239 |
+
| 0.0199 | 5.9425 | 1860 | 0.1915 |
|
240 |
+
| 0.017 | 5.9744 | 1870 | 0.1914 |
|
241 |
+
| 0.0163 | 6.0064 | 1880 | 0.1912 |
|
242 |
+
| 0.0189 | 6.0383 | 1890 | 0.1910 |
|
243 |
+
| 0.0146 | 6.0703 | 1900 | 0.1910 |
|
244 |
+
| 0.0266 | 6.1022 | 1910 | 0.1909 |
|
245 |
+
| 0.0114 | 6.1342 | 1920 | 0.1908 |
|
246 |
+
| 0.017 | 6.1661 | 1930 | 0.1908 |
|
247 |
+
| 0.0147 | 6.1981 | 1940 | 0.1907 |
|
248 |
+
| 0.0125 | 6.2300 | 1950 | 0.1907 |
|
249 |
+
| 0.0201 | 6.2620 | 1960 | 0.1906 |
|
250 |
+
| 0.011 | 6.2939 | 1970 | 0.1905 |
|
251 |
+
| 0.0169 | 6.3259 | 1980 | 0.1905 |
|
252 |
+
| 0.0148 | 6.3578 | 1990 | 0.1904 |
|
253 |
+
| 0.0113 | 6.3898 | 2000 | 0.1904 |
|
254 |
+
|
255 |
+
|
256 |
+
### Framework versions
|
257 |
+
|
258 |
+
- PEFT 0.14.0
|
259 |
+
- Transformers 4.47.1
|
260 |
+
- Pytorch 2.5.1+cu124
|
261 |
+
- Datasets 3.2.0
|
262 |
+
- Tokenizers 0.21.0
|
adapter_config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "WhisperForConditionalGeneration",
|
5 |
+
"parent_library": "transformers.models.whisper.modeling_whisper"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": "openai/whisper-large-v3-turbo",
|
8 |
+
"bias": "none",
|
9 |
+
"eva_config": null,
|
10 |
+
"exclude_modules": null,
|
11 |
+
"fan_in_fan_out": false,
|
12 |
+
"inference_mode": true,
|
13 |
+
"init_lora_weights": true,
|
14 |
+
"layer_replication": null,
|
15 |
+
"layers_pattern": null,
|
16 |
+
"layers_to_transform": null,
|
17 |
+
"loftq_config": {},
|
18 |
+
"lora_alpha": 64,
|
19 |
+
"lora_bias": false,
|
20 |
+
"lora_dropout": 0.05,
|
21 |
+
"megatron_config": null,
|
22 |
+
"megatron_core": "megatron.core",
|
23 |
+
"modules_to_save": null,
|
24 |
+
"peft_type": "LORA",
|
25 |
+
"r": 64,
|
26 |
+
"rank_pattern": {},
|
27 |
+
"revision": null,
|
28 |
+
"target_modules": [
|
29 |
+
"q_proj",
|
30 |
+
"v_proj"
|
31 |
+
],
|
32 |
+
"task_type": null,
|
33 |
+
"use_dora": false,
|
34 |
+
"use_rslora": false
|
35 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b58f5de60ff5ccf096344c24f826a60d0dc8f99323ae10d18381f05548dd2d6e
|
3 |
+
size 52451624
|
preprocessor_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"chunk_length": 30,
|
3 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
4 |
+
"feature_size": 128,
|
5 |
+
"hop_length": 160,
|
6 |
+
"n_fft": 400,
|
7 |
+
"n_samples": 480000,
|
8 |
+
"nb_max_frames": 3000,
|
9 |
+
"padding_side": "right",
|
10 |
+
"padding_value": 0.0,
|
11 |
+
"processor_class": "WhisperProcessor",
|
12 |
+
"return_attention_mask": false,
|
13 |
+
"sampling_rate": 16000
|
14 |
+
}
|
runs/Dec29_08-32-47_gglabs-a6000/events.out.tfevents.1735479167.gglabs-a6000
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad3d0eeb487cc72793e802382212f12d3f39ee21d8bcd0a1b703e2eff67ef7cc
|
3 |
+
size 103012
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:050b6e380fddf882faf9ddde98fad22d9385b817ecb1c8efec1704c8411bcbae
|
3 |
+
size 5560
|