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wav2vec-xls-r
Skier8402/wav2vec-xls-r
wav2vec-xls-r is a automatic speech recognition model from Skier8402. 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
- Nov 1, 2023
- Updated
- Nov 1, 2023
- SHA
- b13979c8
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. -->
wav2vec-xls-r
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 2.1585
- Wer: 0.9982
Increase the number of epochs to improve performance or use a bigger model.
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: 1e-05
- 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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0131 | 1.53 | 1000 | 3.0846 | 1.0 |
| 2.322 | 3.07 | 2000 | 2.6234 | 1.0000 |
| 1.3523 | 4.6 | 3000 | 2.2515 | 0.9991 |
| 1.1727 | 6.13 | 4000 | 2.1585 | 0.9982 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- sw
- Created
- Nov 1, 2023
- Updated
- Nov 1, 2023