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WhisperTiny_Jordan_Test_1hr – AI Model by Salama1429 | AlphaNeural AI

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Salama1429/
WhisperTiny_Jordan_Test_1hr

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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WhisperTiny_Jordan_Test_1hr

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

eval_loss: 1.0747
eval_wer: 126.3598
eval_runtime: 45.2512
eval_samples_per_second: 3.315
eval_steps_per_second: 0.221
epoch: 8.0
step: 216

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: 32
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
num_epochs: 25
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0