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HouseHolder_WhisperSmall – AI Model by borisPMC | AlphaNeural AI
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borisPMC
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HouseHolder_WhisperSmall
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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MedicGrabber_WhisperSmall
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: 0.1853
Wer Ortho: 10.4950
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: 5e-05
train_batch_size: 16
eval_batch_size: 4
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
No log
0
0
3.3948
99.2079
1.2079
1.0
29
0.1921
14.6535
0.1011
2.0
58
0.2017
12.0792
0.0393
3.0
87
0.1752
10.0990
0.0221
4.0
116
0.1907
9.9010
0.005
5.0
145
0.1853
10.4950
Framework versions
Transformers 4.50.3
Pytorch 2.5.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
