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whisper-small – AI Model by Enpas | AlphaNeural AI

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Enpas/
whisper-small

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automatic-speech-recognition

generated_from_trainer

openai/whisper-small

endpoints_compatible

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Small-Co

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

eval_loss: 0.0502
eval_wer: 36.5145
eval_runtime: 550.2601
eval_samples_per_second: 0.718
eval_steps_per_second: 0.045
epoch: 0.6941
step: 1500

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: 12
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
training_steps: 1500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1