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afripspeech_data_aug – AI Model by Seyfelislem | AlphaNeural AI

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Seyfelislem/
afripspeech_data_aug

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automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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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