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whisper-base-ky – AI Model by Beknazar312 | AlphaNeural AI

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Beknazar312/
whisper-base-ky

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0

automatic-speech-recognition

generated_from_trainer

common_voice_17_0

openai/whisper-small

endpoints_compatible

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whisper-base-ky

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: 0.5929
eval_wer: 3.2361
eval_runtime: 1497.0743
eval_samples_per_second: 1.078
eval_steps_per_second: 0.135
epoch: 9.3474
step: 1000

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: 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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1