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xlsr-vorarlbergerisch
bkh6722/xlsr-vorarlbergerisch
xlsr-vorarlbergerisch is a automatic speech recognition model from bkh6722. 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
- Apr 29, 2022
- Updated
- Apr 29, 2022
- SHA
- b0d4518b
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-xlsr-vorarlbergerisch
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-german on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3193
- Wer: 0.3235
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: 0.0003
- 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: 500
- num_epochs: 62
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 15.6717 | 3.83 | 100 | 3.0247 | 1.0 |
| 2.485 | 7.68 | 200 | 1.5937 | 0.9046 |
| 0.784 | 11.53 | 300 | 1.2664 | 0.5 |
| 0.3689 | 15.38 | 400 | 1.2046 | 0.4696 |
| 0.2618 | 19.23 | 500 | 1.1289 | 0.4155 |
| 0.2088 | 23.08 | 600 | 0.9339 | 0.3623 |
| 0.1388 | 26.91 | 700 | 1.1448 | 0.3573 |
| 0.1042 | 30.75 | 800 | 1.1411 | 0.3606 |
| 0.0784 | 34.6 | 900 | 1.2046 | 0.3547 |
| 0.0607 | 38.45 | 1000 | 1.2243 | 0.3488 |
| 0.0459 | 42.3 | 1100 | 1.2387 | 0.3226 |
| 0.0273 | 46.15 | 1200 | 1.2123 | 0.3387 |
| 0.0195 | 49.98 | 1300 | 1.2232 | 0.3345 |
| 0.0188 | 53.83 | 1400 | 1.2656 | 0.3235 |
| 0.0132 | 57.68 | 1500 | 1.3377 | 0.3285 |
| 0.0089 | 61.53 | 1600 | 1.3193 | 0.3235 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 29, 2022
- Updated
- Apr 29, 2022