Downloads · 30 days
6
18% of all-time downloads
wav2vec2-base-100h-timit-demo-google-colab
kenchiayy/wav2vec2-base-100h-timit-demo-google-colab
wav2vec2-base-100h-timit-demo-google-colab is a automatic speech recognition model from kenchiayy. 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
33
Public
Parameters
94.4M
378 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 15, 2024
- Updated
- Mar 18, 2024
- SHA
- 79b798a2
Base models
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-100h-timit-demo-google-colab
This model is a fine-tuned version of facebook/wav2vec2-base-100h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2661
- Wer: 0.3003
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: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.002 | 2.01 | 500 | 3.8351 | 1.0 |
| 2.3505 | 4.02 | 1000 | 0.3927 | 0.4109 |
| 1.3738 | 6.02 | 1500 | 0.3139 | 0.3470 |
| 1.1562 | 8.03 | 2000 | 0.2850 | 0.3192 |
| 1.0548 | 10.04 | 2500 | 0.2677 | 0.3114 |
| 1.0112 | 12.05 | 3000 | 0.2758 | 0.3103 |
| 0.9481 | 14.06 | 3500 | 0.2806 | 0.3074 |
| 0.9109 | 16.06 | 4000 | 0.3118 | 0.3085 |
| 0.8542 | 18.07 | 4500 | 0.2772 | 0.3040 |
| 0.8117 | 20.08 | 5000 | 0.2650 | 0.3020 |
| 0.8058 | 22.09 | 5500 | 0.2848 | 0.3018 |
| 0.7619 | 24.1 | 6000 | 0.2686 | 0.3018 |
| 0.7529 | 26.1 | 6500 | 0.2713 | 0.3008 |
| 0.7172 | 28.11 | 7000 | 0.2661 | 0.3003 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 1.18.3
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 15, 2024
- Updated
- Mar 18, 2024