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whisper-en-small – AI Model by zhangyudi | AlphaNeural AI
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zhangyudi
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whisper-en-small
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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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whisper-en-small
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9335
Wer: 37.8764
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: 1
eval_batch_size: 1
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: 50
training_steps: 120
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.1915
1.0
60
1.1117
83.0428
0.4457
2.0
120
0.9335
37.8764
Framework versions
Transformers 4.50.3
Pytorch 2.6.0
Datasets 3.5.0
Tokenizers 0.21.1
