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whisper-medium-jiaozhu – AI Model by Pologue | AlphaNeural AI

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Pologue/
whisper-medium-jiaozhu

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automatic-speech-recognition

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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whisper-medium-jiaozhu

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: 0.0090
eval_wer: 11.9565
eval_runtime: 110.4355
eval_samples_per_second: 0.833
eval_steps_per_second: 0.109
epoch: 2.3913
step: 55

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: 50
training_steps: 500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1