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whisper-tiny_to_american_accent_2000_4 – AI Model by GeorgePaulson | AlphaNeural AI
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whisper-tiny_to_american_accent_2000_4
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
en
American_english_2000_106
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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American_english_2000_106
This model is a fine-tuned version of
openai/whisper-tiny
on the American English dataset. It achieves the following results on the evaluation set:
Loss: 1.0625
Wer: 22.1514
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-06
train_batch_size: 2
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: 500
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0032
0.9452
1000
1.0656
22.0134
0.0037
1.8904
2000
1.0625
22.1514
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
