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whisper-base-ja – AI Model by bygreencn | AlphaNeural AI
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bygreencn
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whisper-base-ja
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
bygreencn/whisper-base-ja
finetune
apache-2.0
endpoints_compatible
us
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whisper-base-ja
This model is a fine-tuned version of
bygreencn/whisper-base-ja
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4821
Wer: 94.3204
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: 200
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3735
0.29
200
0.4821
94.3204
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
