Downloads · 30 days
28
8% of all-time downloads
korean-aihub-learning-math-8batch
jaeyeon/korean-aihub-learning-math-8batch
korean-aihub-learning-math-8batch is a automatic speech recognition model from jaeyeon. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
350
Public
Repo size
3.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jul 28, 2022
- Updated
- Jul 28, 2022
- SHA
- 9e32cad5
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. -->
korean-aihub-learning-math-8batch
This model is a fine-tuned version of kresnik/wav2vec2-large-xlsr-korean on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1867
- Wer: 0.5315
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 20 | 33.1529 | 1.0 |
| No log | 2.0 | 40 | 28.0161 | 1.0 |
| No log | 3.0 | 60 | 8.7324 | 1.0 |
| No log | 4.0 | 80 | 4.9786 | 1.0 |
| 21.6269 | 5.0 | 100 | 4.5335 | 1.0 |
| 21.6269 | 6.0 | 120 | 4.4517 | 1.0 |
| 21.6269 | 7.0 | 140 | 4.4068 | 1.0 |
| 21.6269 | 8.0 | 160 | 4.3210 | 1.0 |
| 21.6269 | 9.0 | 180 | 4.0041 | 0.9932 |
| 4.1788 | 10.0 | 200 | 3.0921 | 0.9712 |
| 4.1788 | 11.0 | 220 | 2.1650 | 0.8603 |
| 4.1788 | 12.0 | 240 | 1.6135 | 0.7192 |
| 4.1788 | 13.0 | 260 | 1.3842 | 0.6466 |
| 4.1788 | 14.0 | 280 | 1.2872 | 0.5918 |
| 1.205 | 15.0 | 300 | 1.2234 | 0.5808 |
| 1.205 | 16.0 | 320 | 1.2694 | 0.6 |
| 1.205 | 17.0 | 340 | 1.2287 | 0.5575 |
| 1.205 | 18.0 | 360 | 1.1776 | 0.5877 |
| 1.205 | 19.0 | 380 | 1.2418 | 0.5671 |
| 0.2825 | 20.0 | 400 | 1.2469 | 0.5616 |
| 0.2825 | 21.0 | 420 | 1.2203 | 0.5425 |
| 0.2825 | 22.0 | 440 | 1.2270 | 0.5863 |
| 0.2825 | 23.0 | 460 | 1.1930 | 0.5548 |
| 0.2825 | 24.0 | 480 | 1.1242 | 0.5521 |
| 0.1831 | 25.0 | 500 | 1.2245 | 0.5575 |
| 0.1831 | 26.0 | 520 | 1.2276 | 0.5342 |
| 0.1831 | 27.0 | 540 | 1.1641 | 0.5205 |
| 0.1831 | 28.0 | 560 | 1.1727 | 0.5329 |
| 0.1831 | 29.0 | 580 | 1.1885 | 0.5534 |
| 0.14 | 30.0 | 600 | 1.1867 | 0.5315 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jul 28, 2022
- Updated
- Jul 28, 2022