whitemouse84/whisper-tiny-ru

Whisper Tiny Ru

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4739
• Wer: 188.7957

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
0.464	0.61	1000	0.5444	201.0197
0.3774	1.22	2000	0.5003	180.8949
0.3566	1.82	3000	0.4796	195.6722
0.2962	2.43	4000	0.4739	188.7957

Framework versions

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