whisper-large-v3-turbo-ft-cv-cy-en

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the DewiBrynJones/commonvoice_18_0_cy_en train main dataset. It achieves the following results on the evaluation set:

• Loss: 0.2927
• Wer: 0.1577

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: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Use adamw_torch 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: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6485	0.7075	1000	0.3581	0.2210
0.3362	1.4149	2000	0.3094	0.1831
0.1504	2.1224	3000	0.2957	0.1699
0.1558	2.8299	4000	0.2816	0.1646
0.0619	3.5373	5000	0.2927	0.1577

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.1+cu124
• Datasets 3.0.2
• Tokenizers 0.20.1