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whisper-small-malay-fine-tuned-v1 – AI Model by Maaran10 | AlphaNeural AI
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whisper-small-malay-fine-tuned-v1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
asr
malay
generated_from_trainer
ms
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper small Malay - Ilamaaran
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: 0.4621
Wer: 16.3855
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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0053
18.5185
500
0.4328
18.3730
0.0006
37.0370
1000
0.4621
16.3855
Framework versions
Transformers 4.52.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
