This model is a fine-tuned version of Maks545curve/whisper-small-new-ru-a on the Common Voice 17 dataset. It achieves the following results on the evaluation set:

Loss: 0.3382
Wer Ortho: 25.7888
Wer: 16.3796

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 70
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.344	0.5336	500	0.3786	29.1204	18.2225
0.2073	1.0672	1000	0.3382	25.7888	16.3796

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1

Maks545curve/whisper-small-new-ru-pl-a

Whisper Small new-ru-pl AIIA

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Maks545curve/
whisper-small-new-ru-pl-a