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exp20-M04-both
alexziweiwang/exp20-M04-both
exp20-M04-both is a automatic speech recognition model from alexziweiwang. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 24, 2022
- Updated
- Nov 24, 2022
- SHA
- 6e6a3695
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
exp20-M04-both
This model is a fine-tuned version of yongjian/wav2vec2-large-a on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3358
- Wer: 1.1374
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 37.2423 | 0.34 | 500 | 3.2577 | 1.0 |
| 3.1334 | 0.68 | 1000 | 3.0084 | 1.0 |
| 2.9616 | 1.02 | 1500 | 2.9946 | 1.0 |
| 2.8067 | 1.36 | 2000 | 2.6228 | 1.3130 |
| 2.732 | 1.7 | 2500 | 2.5059 | 1.5013 |
| 2.3673 | 2.04 | 3000 | 2.1828 | 1.4911 |
| 2.1378 | 2.38 | 3500 | 2.2066 | 1.4911 |
| 1.9853 | 2.72 | 4000 | 1.9877 | 1.4580 |
| 1.8574 | 3.06 | 4500 | 1.8850 | 1.4656 |
| 1.7085 | 3.4 | 5000 | 1.9121 | 1.4606 |
| 1.6161 | 3.74 | 5500 | 2.1036 | 1.4326 |
| 1.5304 | 4.08 | 6000 | 1.9807 | 1.4478 |
| 1.3531 | 4.42 | 6500 | 2.0211 | 1.4656 |
| 1.3269 | 4.77 | 7000 | 1.9231 | 1.3893 |
| 1.2312 | 5.11 | 7500 | 2.2652 | 1.4097 |
| 1.1161 | 5.45 | 8000 | 1.9543 | 1.4529 |
| 1.0305 | 5.79 | 8500 | 2.1463 | 1.4071 |
| 0.9403 | 6.13 | 9000 | 3.7872 | 1.4071 |
| 0.8723 | 6.47 | 9500 | 2.8466 | 1.4326 |
| 0.8752 | 6.81 | 10000 | 2.2215 | 1.3766 |
| 0.7774 | 7.15 | 10500 | 2.0462 | 1.3257 |
| 0.74 | 7.49 | 11000 | 2.1928 | 1.3333 |
| 0.7371 | 7.83 | 11500 | 2.8058 | 1.3410 |
| 0.7075 | 8.17 | 12000 | 2.3100 | 1.3308 |
| 0.6746 | 8.51 | 12500 | 2.6284 | 1.2875 |
| 0.6233 | 8.85 | 13000 | 2.2268 | 1.3003 |
| 0.7172 | 9.19 | 13500 | 2.1980 | 1.2926 |
| 0.5697 | 9.53 | 14000 | 2.1950 | 1.2468 |
| 0.5691 | 9.87 | 14500 | 2.1819 | 1.2316 |
| 0.5062 | 10.21 | 15000 | 2.1426 | 1.2621 |
| 0.4818 | 10.55 | 15500 | 2.2259 | 1.2545 |
| 0.5083 | 10.89 | 16000 | 2.1764 | 1.2214 |
| 0.3901 | 11.23 | 16500 | 2.2412 | 1.2341 |
| 0.4275 | 11.57 | 17000 | 2.3781 | 1.2290 |
| 0.4225 | 11.91 | 17500 | 2.1578 | 1.2443 |
| 0.4106 | 12.25 | 18000 | 2.5651 | 1.2341 |
| 0.3933 | 12.59 | 18500 | 2.1819 | 1.2265 |
| 0.3821 | 12.93 | 19000 | 2.0564 | 1.1934 |
| 0.3584 | 13.27 | 19500 | 2.5475 | 1.2290 |
| 0.3468 | 13.61 | 20000 | 2.5857 | 1.1781 |
| 0.3984 | 13.96 | 20500 | 2.2383 | 1.2239 |
| 0.308 | 14.3 | 21000 | 2.4947 | 1.2137 |
| 0.3356 | 14.64 | 21500 | 2.6563 | 1.2163 |
| 0.3406 | 14.98 | 22000 | 2.3337 | 1.2061 |
| 0.3297 | 15.32 | 22500 | 2.2793 | 1.1908 |
| 0.3028 | 15.66 | 23000 | 2.6462 | 1.1654 |
| 0.3226 | 16.0 | 23500 | 2.3785 | 1.1705 |
| 0.2605 | 16.34 | 24000 | 2.7212 | 1.1858 |
| 0.2669 | 16.68 | 24500 | 3.0365 | 1.2087 |
| 0.2967 | 17.02 | 25000 | 2.4898 | 1.1934 |
| 0.2547 | 17.36 | 25500 | 2.4020 | 1.1832 |
| 0.2779 | 17.7 | 26000 | 2.5558 | 1.1705 |
| 0.2341 | 18.04 | 26500 | 2.9406 | 1.1934 |
| 0.2304 | 18.38 | 27000 | 3.1528 | 1.1603 |
| 0.226 | 18.72 | 27500 | 3.0001 | 1.2163 |
| 0.2319 | 19.06 | 28000 | 3.0117 | 1.1603 |
| 0.1836 | 19.4 | 28500 | 2.8332 | 1.1858 |
| 0.2085 | 19.74 | 29000 | 2.8757 | 1.1603 |
| 0.2383 | 20.08 | 29500 | 3.2235 | 1.1934 |
| 0.2006 | 20.42 | 30000 | 3.0189 | 1.1603 |
| 0.1722 | 20.76 | 30500 | 2.8001 | 1.1527 |
| 0.1955 | 21.1 | 31000 | 3.0401 | 1.1578 |
| 0.1839 | 21.44 | 31500 | 3.2621 | 1.1578 |
| 0.1592 | 21.78 | 32000 | 3.1740 | 1.1552 |
| 0.1835 | 22.12 | 32500 | 3.3974 | 1.1934 |
| 0.197 | 22.46 | 33000 | 2.8283 | 1.1425 |
| 0.1788 | 22.8 | 33500 | 3.1983 | 1.1705 |
| 0.169 | 23.14 | 34000 | 3.1978 | 1.1425 |
| 0.1649 | 23.49 | 34500 | 3.1829 | 1.1552 |
| 0.1431 | 23.83 | 35000 | 3.0528 | 1.1272 |
| 0.1384 | 24.17 | 35500 | 3.3792 | 1.1196 |
| 0.1234 | 24.51 | 36000 | 3.3988 | 1.1425 |
| 0.1552 | 24.85 | 36500 | 3.1008 | 1.1170 |
| 0.124 | 25.19 | 37000 | 2.9486 | 1.1374 |
| 0.1439 | 25.53 | 37500 | 3.1028 | 1.1323 |
| 0.1612 | 25.87 | 38000 | 3.0209 | 1.1043 |
| 0.1456 | 26.21 | 38500 | 2.9466 | 1.1323 |
| 0.1333 | 26.55 | 39000 | 3.1298 | 1.1221 |
| 0.1368 | 26.89 | 39500 | 3.1051 | 1.1272 |
| 0.1263 | 27.23 | 40000 | 3.2888 | 1.1298 |
| 0.1198 | 27.57 | 40500 | 3.0984 | 1.1298 |
| 0.1202 | 27.91 | 41000 | 3.1653 | 1.1374 |
| 0.1252 | 28.25 | 41500 | 3.3016 | 1.1552 |
| 0.1177 | 28.59 | 42000 | 3.2566 | 1.1349 |
| 0.1072 | 28.93 | 42500 | 3.3303 | 1.1425 |
| 0.1497 | 29.27 | 43000 | 3.2549 | 1.1399 |
| 0.1089 | 29.61 | 43500 | 3.3121 | 1.1374 |
| 0.0936 | 29.95 | 44000 | 3.3358 | 1.1374 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Nov 24, 2022
- Updated
- Nov 24, 2022