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whisper-base-malagasy-hoby – AI Model by HobyTahiry | AlphaNeural AI
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whisper-base-malagasy-hoby
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openai/whisper-base
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Whisper Base Malagasy - Hoby
This model is a fine-tuned version of
openai/whisper-base
on the HobyTahiry/malagasy-speech-full_hoby 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 2500
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.19.1
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
