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wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
EzraWilliam/wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11 is a automatic speech recognition model from EzraWilliam. 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 31, 2024
- Updated
- Jun 12, 2024
- SHA
- 68885e5d
Base models
Datasets
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-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3642
- Wer: 0.3517
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
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.9446 | 1.0 | 278 | 2.9150 | 1.0 |
| 2.8395 | 2.0 | 556 | 2.1459 | 1.0 |
| 0.9822 | 3.0 | 834 | 0.5701 | 0.5534 |
| 0.6623 | 4.0 | 1112 | 0.4610 | 0.4699 |
| 0.5834 | 5.0 | 1390 | 0.4262 | 0.4213 |
| 0.4779 | 6.0 | 1668 | 0.4003 | 0.3908 |
| 0.4511 | 7.0 | 1946 | 0.3802 | 0.3731 |
| 0.4298 | 8.0 | 2224 | 0.3814 | 0.3657 |
| 0.4029 | 9.0 | 2502 | 0.3637 | 0.3575 |
| 0.3807 | 10.0 | 2780 | 0.3642 | 0.3517 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 31, 2024
- Updated
- Jun 12, 2024