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whisper-tiny-id-v3 – AI Model by Dhanang12 | AlphaNeural AI

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Dhanang12/
whisper-tiny-id-v3

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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whisper-tiny-id-v3

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

eval_loss: 0.7430
eval_wer: 47.6221
eval_runtime: 606.3896
eval_samples_per_second: 6.018
eval_steps_per_second: 0.754
epoch: 7.9136
step: 2500

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3000
mixed_precision_training: Native AMP

Framework versions

Transformers 5.0.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2