Downloads · 30 days
1
1% of all-time downloads
wav2vec2-wer-extension
adrianSauer/wav2vec2-wer-extension
wav2vec2-wer-extension is a automatic speech recognition model from adrianSauer. 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
158
Public
Parameters
315M
10.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 20, 2024
- SHA
- ffee101f
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. -->
Common Voice 16
This model is a fine-tuned version of glob-asr/wav2vec2-large-xls-r-300m-guarani-small on the Common Voice 16 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2438
- Wer: 39.8401
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- 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: constant_with_warmup
- lr_scheduler_warmup_steps: 3000
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.2579 | 0.4955 | 500 | 0.3710 | 53.4310 |
| 0.919 | 0.9911 | 1000 | 0.3295 | 49.9001 |
| 0.746 | 1.4866 | 1500 | 0.2902 | 45.1033 |
| 0.6767 | 1.9822 | 2000 | 0.2674 | 43.3711 |
| 0.574 | 2.4777 | 2500 | 0.2677 | 42.5716 |
| 0.5485 | 2.9732 | 3000 | 0.2438 | 39.8401 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- gn
- Created
- Aug 13, 2024
- Updated
- Aug 20, 2024