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whisper_large_v3_turbo_noise_redux_v3 – AI Model by Willy030125 | AlphaNeural AI

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Willy030125/
whisper_large_v3_turbo_noise_redux_v3

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automatic-speech-recognition

generated_from_trainer

Willy030125/ambient_noise_audio

openai/whisper-large-v3-turbo

endpoints_compatible

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whisper_large_v3_turbo_noise_redux_v3

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3321
eval_runtime: 52.839
eval_samples_per_second: 10.901
eval_steps_per_second: 10.901
epoch: 2.5
step: 60

Model description

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.002
train_batch_size: 6
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.39.3
Pytorch 2.4.1+cu124
Datasets 2.18.0
Tokenizers 0.15.2