emergency_01

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

• Loss: 0.3525
• Wer: 18.0374

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: 64
• eval_batch_size: 16
• seed: 42
• 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: 250
• training_steps: 3500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0289	15.625	500	0.2118	18.2243
0.0061	31.25	1000	0.2911	20.1869
0.0007	46.875	1500	0.3276	18.9720
0.0002	62.5	2000	0.3383	18.1308
0.0001	78.125	2500	0.3457	18.1308
0.0001	93.75	3000	0.3507	18.0374
0.0001	109.375	3500	0.3525	18.0374

Framework versions

• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0