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wav2vec2-large-xls-r-300m-hsb
TiMauzi/wav2vec2-large-xls-r-300m-hsb
wav2vec2-large-xls-r-300m-hsb is a automatic speech recognition model from TiMauzi. 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
- Sep 4, 2023
- Updated
- Oct 12, 2026
- SHA
- 04029694
Base models
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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-large-xls-r-300m-hsb
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Upper Sorbian common_voice_11_0 dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0006
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
Training results
| Step | Training Loss | Validation Loss | Wer |
|---|---|---|---|
| 200 | 4.408800 | 2.981909 | 0.979601 |
| 400 | 1.089200 | 0.900384 | 0.821805 |
| 600 | 0.166900 | 0.946962 | 0.755920 |
| 800 | 0.091500 | 0.877633 | 0.682767 |
| 1000 | 0.064100 | 0.883517 | 0.657913 |
| 1200 | 0.053000 | 0.865288 | 0.630715 |
| 1400 | 0.037800 | 0.867455 | 0.615475 |
| 1600 | 0.028900 | 0.834865 | 0.590621 |
| 1800 | 0.023800 | 0.845873 | 0.589215 |
| 2000 | 0.019600 | 0.830817 | 0.561313 |
| 2200 | 0.016300 | 0.836810 | 0.560610 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- hsb
- Created
- Sep 4, 2023
- Updated
- Oct 12, 2026