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whisper-small-dv – AI Model by GeeDino | AlphaNeural AI

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GeeDino/
whisper-small-dv

like

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_13_0

openai/whisper-small

endpoints_compatible

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Whisper Small Dv - Sanchit Gandhi

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2343
eval_wer_ortho: 55.1013
eval_wer: 10.2236
eval_runtime: 4805.6402
eval_samples_per_second: 0.46
eval_steps_per_second: 0.029
epoch: 6.51
step: 2000

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: 2e-05
train_batch_size: 16
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: 50
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.2.0+cu118
Datasets 2.17.0
Tokenizers 0.15.2