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whisper-tiny-ja – AI Model by zubokol | AlphaNeural AI
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whisper-tiny-ja
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ja
mozilla-foundation/common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Ja - Zubokol
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5474
Wer: 90.9820
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.5457
1.46
1000
0.5908
93.1715
0.4361
2.91
2000
0.5518
91.4372
0.2952
4.37
3000
0.5492
91.0470
0.2667
5.82
4000
0.5474
90.9820
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
