afripspeech_data_aug

This model is a fine-tuned version of afrispeech_large_A100 on the afrispeech-200 dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

https://huggingface.co/Seyfelislem/afripspeech_data_aug/tensorboard

Framework versions

• Transformers 4.29.1
• Pytorch 1.13.1
• Datasets 2.12.0
• Tokenizers 0.13.3