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whisper-en-tiny – AI Model by zhangyudi | AlphaNeural AI
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zhangyudi
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whisper-en-tiny
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-en-tiny
This model is a fine-tuned version of
openai/whisper-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1022
Wer: 103.1696
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
2.1332
1.0
60
2.2852
99.3661
1.2517
2.0
120
2.1022
103.1696
Framework versions
Transformers 4.50.3
Pytorch 2.6.0
Datasets 3.5.0
Tokenizers 0.21.1
