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whisper-small-en – AI Model by NY7y32 | AlphaNeural AI
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whisper-small-en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
librispeech_dummy
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small En - NT
This model is a fine-tuned version of
openai/whisper-small
on the LibriSpeech dataset. It achieves the following results on the evaluation set:
Loss: nan
Wer: 100.0
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: 1
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
333.3333
1000
nan
100.0
0.0
666.6667
2000
nan
100.0
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
