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whisper-deep-deal – AI Model by Masternlp | AlphaNeural AI

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Masternlp/
whisper-deep-deal

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automatic-speech-recognition

generated_from_trainer

Masternlp/Whisper_model

endpoints_compatible

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whisper-deep-deal

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

eval_loss: 0.9897
eval_wer: 32.7686
eval_runtime: 17584.7708
eval_samples_per_second: 3.961
eval_steps_per_second: 0.495
epoch: 0.2553
step: 8000

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: Use 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
training_steps: 16000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.48.2
Pytorch 2.5.0a0+e000cf0ad9.nv24.10
Datasets 3.2.0
Tokenizers 0.21.0