metadata

library_name: transformers
language:
  - ru
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
model-index:
  - name: Whisper Small RU (Phone) - Stepler
    results: []

Whisper Small RU (Phone) - Stepler

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset (Ru) preprocessed for phone-like sound.

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu124
Datasets 2.21.0
Tokenizers 0.19.1