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whisper-tiny_to_canadian_accent_4 – AI Model by Jerry02 | AlphaNeural AI
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whisper-tiny_to_canadian_accent_4
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
en
Canadian_english_3
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper tiny Canadian
This model is a fine-tuned version of
openai/whisper-tiny
on the Canadian English dataset. It achieves the following results on the evaluation set:
Loss: 0.5129
Wer: 29.1372
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: 4
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
0.1373
2.0
1000
0.4418
21.9774
0.0161
4.0
2000
0.4607
21.3218
0.0042
6.0
3000
0.4991
23.1838
0.001
8.0
4000
0.5129
29.1372
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
