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whisper-small-en – AI Model by Jenny038 | AlphaNeural AI

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Jenny038/
whisper-small-en

like

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automatic-speech-recognition

generated_from_trainer

DTU54DL/common-accent

openai/whisper-small

endpoints_compatible

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Whisper Small En - Jenny Poudel

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4624
eval_wer: 20.4545
eval_runtime: 269.3216
eval_samples_per_second: 1.675
eval_steps_per_second: 0.212
epoch: 0.96
step: 600

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 1.13.1+cu117
Datasets 2.21.0
Tokenizers 0.19.1