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whisper-small-shona-waxal – AI Model by ronnybscales | AlphaNeural AI
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whisper-small-shona-waxal
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-shona-waxal
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5100
eval_wer: 52.0133
eval_runtime: 157.3423
eval_samples_per_second: 1.271
eval_steps_per_second: 0.159
epoch: 2.0295
step: 4000
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: 1e-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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 2.21.0
Tokenizers 0.22.2
