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wav2vec2-xls-r-300m-german
aware-ai/wav2vec2-xls-r-300m-german
wav2vec2-xls-r-300m-german is a automatic speech recognition model from aware-ai. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 25, 2022
- Updated
- Sep 29, 2022
- SHA
- c815a360
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-300m-german
This model is a fine-tuned version of wav2vec2-xls-r-300m-german on the MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - DE dataset. It achieves the following results on the evaluation set:
- Loss: 0.4842
- Wer: 0.3940
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: 3e-07
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2759 | 1.0 | 3612 | 0.4813 | 0.3922 |
| 0.2672 | 2.0 | 7224 | 0.4796 | 0.3925 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Languages
- de
- Created
- Aug 25, 2022
- Updated
- Sep 29, 2022