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whisper-small-tr – AI Model by Binbariyon | AlphaNeural AI

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Binbariyon/
whisper-small-tr

like

0

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_17_0

openai/whisper-small

endpoints_compatible

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Whisper Small Tr - Enes Akman

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2929
eval_wer: 23.1615
eval_runtime: 568.3304
eval_samples_per_second: 3.519
eval_steps_per_second: 0.07
epoch: 3.0
step: 180

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: 100
eval_batch_size: 50
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: 600
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1