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wav2vec2-base-timit-demo-colab
hrdipto/wav2vec2-base-timit-demo-colab
wav2vec2-base-timit-demo-colab is a automatic speech recognition model from hrdipto. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 22, 2021
- SHA
- 756b6d61
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: 0.4241
- Wer: 0.3381
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: 32
- 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 |
|---|---|---|---|---|
| 3.7749 | 4.0 | 500 | 2.0639 | 1.0018 |
| 0.9252 | 8.0 | 1000 | 0.4853 | 0.4821 |
| 0.3076 | 12.0 | 1500 | 0.4507 | 0.4044 |
| 0.1732 | 16.0 | 2000 | 0.4315 | 0.3688 |
| 0.1269 | 20.0 | 2500 | 0.4481 | 0.3559 |
| 0.1087 | 24.0 | 3000 | 0.4354 | 0.3464 |
| 0.0832 | 28.0 | 3500 | 0.4241 | 0.3381 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Dec 22, 2021