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afrispeech_large_A100 – AI Model by Seyfelislem | AlphaNeural AI
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afrispeech_large_A100
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
afrispeech-200
model-index
endpoints_compatible
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afrispeech_large_A100
This model is a fine-tuned version of
openai/whisper-large-v2
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/afrispeech_large_A100/tensorboard
Framework versions
Transformers 4.29.1
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3