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whisper-tiny-finetuned-10k – AI Model by anchaeyeon | AlphaNeural AI
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whisper-tiny-finetuned-10k
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
anchaeyeon/preprocessedData
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisperFinetuning
This model is a fine-tuned version of
openai/whisper-tiny
on the 전처리 완료 데이터셋 dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5217
eval_wer: 1.0468
eval_cer: 1.3486
eval_runtime: 389.9587
eval_samples_per_second: 2.413
eval_steps_per_second: 0.303
epoch: 5.1148
step: 2409
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
num_epochs: 8
Framework versions
Transformers 4.55.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
