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363ebm_model – AI Model by hoangvanvietanh | AlphaNeural AI
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hoangvanvietanh
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363ebm_model
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transformers
pytorch
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ja
pxaudio/363ebm_model
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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PXAudio Whisper For 363ebm
This model is a fine-tuned version of
openai/whisper-small
on the ja 0.1 dataset.
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: 100
Training results
Framework versions
Transformers 4.33.3
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.13.3
