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wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod5
EzraWilliam/wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod5
wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod5 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
- Feb 1, 2024
- Updated
- Feb 1, 2024
- SHA
- a5232423
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_Prod5
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the xtreme_s dataset. It achieves the following results on the evaluation set:
- Loss: 0.9790
- Wer: 0.5366
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 600
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.9955 | 9.23 | 300 | 2.8534 | 1.0 |
| 1.7522 | 18.46 | 600 | 0.7939 | 0.7079 |
| 0.3374 | 27.69 | 900 | 0.8635 | 0.6423 |
| 0.1617 | 36.92 | 1200 | 0.9916 | 0.5929 |
| 0.1102 | 46.15 | 1500 | 0.9796 | 0.5648 |
| 0.0815 | 55.38 | 1800 | 0.9790 | 0.5366 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024