following-whisper-tutorial – AI Model by tjddn0402 | AlphaNeural AI

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tjddn0402/
following-whisper-tutorial

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_13_0

openai/whisper-small

endpoints_compatible

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Whisper Small KO

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3779
Cer: 1.0055
Wer: 0.9688

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: 100
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
0.2858	5.26	100	0.4512	1.1681	0.9869
0.0058	10.53	200	0.3578	1.0637	0.8610
0.0012	15.79	300	0.3699	0.9535	0.9225
0.0009	21.05	400	0.3759	1.0149	0.9809
0.0008	26.32	500	0.3779	1.0055	0.9688

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1