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whisper-tiny_to_japanese_accent_4000 – AI Model by DeathCover1003 | AlphaNeural AI
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whisper-tiny_to_japanese_accent_4000
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
en
Japanese_english
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper tiny Japanese
This model is a fine-tuned version of
openai/whisper-tiny
on the Japanese English dataset. It achieves the following results on the evaluation set:
Loss: 0.5073
Wer: 22.4624
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
0.1392
1.2438
1000
0.4888
22.8383
0.0766
2.4876
2000
0.4783
22.1021
0.0289
3.7313
3000
0.4967
22.2588
0.0151
4.9751
4000
0.5073
22.4624
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
