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whisper-small-wello-enhanced – AI Model by Bedru | AlphaNeural AI
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whisper-small-wello-enhanced
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
am
gheero-Leyu/leyu-amharic-wello-dialect
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small am - Bedru Yimam
This model is a fine-tuned version of
openai/whisper-small
on the wello dataset. It achieves the following results on the evaluation set:
Loss: 0.2608
Wer Ortho: 81.4433
Wer: 80.2120
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: cosine
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
1.5181
2.4642
500
0.8604
117.0962
107.6855
0.3944
4.9284
1000
0.3722
94.3299
93.2862
0.1123
7.3901
1500
0.2744
82.5601
81.6254
0.0734
9.8543
2000
0.2608
81.4433
80.2120
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
