whisper-small-uk-v2

This model is a fine-tuned version of nikes64/whisper-small-uk on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1369
• Wer: 11.2911

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• 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
0.087	1.4	1000	0.1092	11.8439
0.0429	2.8	2000	0.1035	11.0597
0.0132	4.2	3000	0.1247	11.1431
0.0067	5.6	4000	0.1369	11.2911

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.2.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2