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wav2vec2-xls-r-300m-crh
robinhad/wav2vec2-xls-r-300m-crh
wav2vec2-xls-r-300m-crh is a automatic speech recognition model from robinhad. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 19, 2022
- Updated
- Nov 19, 2022
- SHA
- e8db4c5f
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-crh
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the custom Crimean Tatar dataset. It achieves the following results on the evaluation set:
- Loss: 0.738475
- Wer: 0.4494
- Cer: 0.1254
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-05
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 144
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- mit
- Languages
- crh
- Created
- Nov 19, 2022
- Updated
- Nov 19, 2022