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wav2vec2-sft-sr
cminja/wav2vec2-sft-sr
wav2vec2-sft-sr is a automatic speech recognition model from cminja. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
wav2vec2-xlsr-530-serbian-colab This model is a finetune of facebook/wav2vec2-xls-r-300m on an juznevesti serbian dataset.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024
- SHA
- 90ef4a1d
Model card
From the Hugging Face model README
wav2vec2-xlsr-530-serbian-colab This model is a finetune of facebook/wav2vec2-xls-r-300m on an juznevesti serbian dataset.
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: 30 Framework versions Transformers 4.20.0 Pytorch 1.12.0 Datasets 2.4.0 Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024