vumenira/whisper-small-uk

Whisper Small UK - Bohdan's Fine-Tune

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

• Loss: 0.3156
• Wer: 17.2136

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• 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
0.007	5.1020	1000	0.2776	17.6874
0.0009	10.2041	2000	0.2952	17.1358
0.0005	15.3061	3000	0.3098	17.1216
0.0004	20.4082	4000	0.3156	17.2136

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cu128
• Datasets 2.21.0
• Tokenizers 0.22.1