DeathCover1003/whisper-tiny_to_british_accent_4000

Whisper tiny Japanese

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

• Loss: 0.3704
• Wer: 12.7092

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• optimizer: Use OptimizerNames.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: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3652	0.9901	1000	0.3394	13.2347
0.1538	1.9802	2000	0.3556	13.6357
0.04	2.9703	3000	0.3733	13.0549
0.002	3.9604	4000	0.3704	12.7092

Framework versions

• Transformers 4.50.0.dev0
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0