This model is a fine-tuned version of openai/whisper-small on the sberdevices_golos_10h dataset. It achieves the following results on the evaluation set:

Loss: 0.1775
Wer: 49.1864

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0667	2.0	1000	0.1706	50.3314
0.0076	4.0	2000	0.1776	49.1864
0.0015	6.0	3000	0.1816	53.3317

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

gggggggg123/whisper-small-ru-golos

Whisper Small Ru - Slava Gosha

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gggggggg123/
whisper-small-ru-golos