whisper-tiny-finetuned-minds14

This model is a fine-tuned version of openai/whisper-tiny on the Minds14 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6368
• Wer Ortho: 0.3540
• Wer: 0.3522

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
• 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: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.7132	7.1429	200	0.4647	0.3554	0.3477
0.0044	14.2857	400	0.5662	0.3520	0.3471
0.0006	21.4286	600	0.5970	0.3540	0.3509
0.0004	28.5714	800	0.6191	0.3547	0.3515
0.0002	35.7143	1000	0.6368	0.3540	0.3522

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.1