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ko-address-whisper-medium – AI Model by kali1 | AlphaNeural AI

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kali1/
ko-address-whisper-medium

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automatic-speech-recognition

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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ko-address-whisper-medium

This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0290
eval_cer: 0.6820
eval_runtime: 70330.5853
eval_samples_per_second: 0.08
eval_steps_per_second: 0.005
epoch: 1.5053
step: 3000

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: 5e-06
train_batch_size: 16
eval_batch_size: 16
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: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1