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Hinghwa_ASR_ipa_local – AI Model by lw2333 | AlphaNeural AI

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lw2333/
Hinghwa_ASR_ipa_local

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0

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

lw2333/Hinghwa_local

openai/whisper-small

endpoints_compatible

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Whisper Small Hinghwa - lw2333

This model is a fine-tuned version of openai/whisper-small on the Hinghwa_voice 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000

Framework versions

Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3