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wav2vec2-large-xls-r-300m-hi-CV7

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE dataset. It achieves the following results on the evaluation set:

• Loss: 0.6588
• Wer: 0.2987

Training hyperparameters

The following hyperparameters were used during training:

• 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: 2000
• num_epochs: 60
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0