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whisper-small-ap1 – AI Model by npallewela | AlphaNeural AI
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whisper-small-ap1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper small ap2 - Nuwan
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7124
Wer Ortho: 44.4174
Wer: 43.6961
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: 16
eval_batch_size: 16
seed: 42
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.6948
0.2249
500
0.7124
44.4174
43.6961
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
