whitemouse84/whisper-small-ru

Whisper Base Ru

This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2080
• Wer: 131.3577

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2013	0.61	1000	0.2301	130.4397
0.0753	1.21	2000	0.2159	131.7603
0.0902	1.82	3000	0.2046	129.7846
0.0394	2.43	4000	0.2080	131.3577

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.2
• Datasets 2.18.0
• Tokenizers 0.15.1