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whisper-medium.en – AI Model by ilokavat | AlphaNeural AI
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ilokavat
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whisper-medium.en
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium.en
This model is a fine-tuned version of
openai/whisper-medium.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7011
Wer: 0.0
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: 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: 5
training_steps: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.8998
1.25
5
2.2823
0.0
2.608
2.5
10
2.0390
0.0
2.2464
3.75
15
1.9019
0.0
1.8177
5.0
20
1.7011
0.0
Framework versions
Transformers 4.50.1
Pytorch 2.6.0
Datasets 3.6.0
Tokenizers 0.21.1
