Whisper Small ru - AIIA

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:

  • Loss: 0.2367
  • Wer Ortho: 19.9060
  • Wer: 14.9439

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.2075 0.2194 500 0.2367 19.9060 14.9439

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.3.0+cpu
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
6
Safetensors
Model size
242M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for Maks545curve/whisper-small-ru-a

Finetuned
(2393)
this model
Finetunes
1 model

Dataset used to train Maks545curve/whisper-small-ru-a

Evaluation results