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whisper-small-wello-lora – AI Model by Bedru | AlphaNeural AI
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whisper-small-wello-lora
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peft
tensorboard
safetensors
adapter
lora
transformers
am
gheero-Leyu/leyu-amharic-wello-dialect
openai/whisper-small
apache-2.0
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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: 0.8734
Wer: 101.1385
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: 0.0001
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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.4531
1.7301
500
1.2242
107.7109
2.0232
3.4602
1000
1.0240
101.9665
1.8241
5.1903
1500
0.9223
105.7444
1.7149
6.9204
2000
0.8734
101.1385
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
