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whisper-large-v3-czech – AI Model by Cem13 | AlphaNeural AI

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Cem13/
whisper-large-v3-czech

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automatic-speech-recognition

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openai/whisper-large-v3

endpoints_compatible

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Whisper large cs - jan_zizka

This model is a fine-tuned version of openai/whisper-large-v3 on the combined dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1242
eval_wer: 11.3608
eval_runtime: 14167.2564
eval_samples_per_second: 0.624
eval_steps_per_second: 0.078
epoch: 0.3795
step: 1000

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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1