wav2vec2-xls-r-300m-as-CV8-v1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset.
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: 0.0001
 - 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: 300
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
Training results
Framework versions
- Transformers 4.11.3
 - Pytorch 1.10.0+cu111
 - Datasets 1.18.3
 - Tokenizers 0.10.3
 
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