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whisper-small-te – AI Model by kartheekkumar65 | AlphaNeural AI

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kartheekkumar65/
whisper-small-te

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0

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_17_0

openai/whisper-small

endpoints_compatible

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Whisper Small Telugu - KKR Nareddy

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: 0.7293
eval_wer: 87.3626
eval_runtime: 18.4573
eval_samples_per_second: 2.655
eval_steps_per_second: 0.379
epoch: 71.4286
step: 500

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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 90
training_steps: 1000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.47.1
Pytorch 2.4.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0