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whisper-tiny_to_american_accent_4000_5 – AI Model by GeorgePaulson | AlphaNeural AI
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whisper-tiny_to_american_accent_4000_5
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
en
American_english_4000_105
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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American_english_4000_105
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: 0.2350
Wer: 10.3775
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: 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: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0428
0.9452
1000
0.2181
9.6363
0.0234
1.8904
2000
0.2243
9.4984
0.0028
2.8355
3000
0.2291
10.2396
0.0008
3.7807
4000
0.2350
10.3775
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
