Downloads · 30 days
6
16% of all-time downloads
wav2vec2-base-timit-demo-colab
nawta/wav2vec2-base-timit-demo-colab
wav2vec2-base-timit-demo-colab is a automatic speech recognition model from nawta. 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
38
Public
Repo size
1.1 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin378 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 27, 2022
- Updated
- Jun 28, 2022
- SHA
- bd16e123
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. -->
wav2vec2-base-timit-demo-colab
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0403
- Wer: 0.0168
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: 64
- eval_batch_size: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.5738 | 2.82 | 500 | 2.8712 | 1.0 |
| 1.3905 | 5.65 | 1000 | 0.2342 | 0.2124 |
| 0.1868 | 8.47 | 1500 | 0.1023 | 0.0697 |
| 0.0831 | 11.3 | 2000 | 0.0603 | 0.0339 |
| 0.0512 | 14.12 | 2500 | 0.0519 | 0.0263 |
| 0.0363 | 16.95 | 3000 | 0.0478 | 0.0228 |
| 0.0267 | 19.77 | 3500 | 0.0490 | 0.0228 |
| 0.0205 | 22.6 | 4000 | 0.0390 | 0.0182 |
| 0.0163 | 25.42 | 4500 | 0.0418 | 0.0184 |
| 0.0145 | 28.25 | 5000 | 0.0403 | 0.0168 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.1+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 27, 2022
- Updated
- Jun 28, 2022