This model is a fine-tuned version of Zzzkay1/whisper-small-en on the English songs * 25 dataset. It achieves the following results on the evaluation set:

Loss: 2.0349
Wer: 19.7354

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 200
training_steps: 10000
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.2808	0.6780	100	2.1672	29.8942
1.9497	1.3525	200	2.0260	25.5556
1.8937	2.0271	300	1.9647	22.4339
1.6921	2.7051	400	1.9518	22.0106
1.5627	3.3797	500	1.9594	20.3704
1.5424	4.0542	600	1.9702	20.0529
1.5121	4.7322	700	1.9520	19.5238
1.4968	5.4068	800	1.9692	30.8466
1.4735	6.0814	900	1.9945	20.2116
1.4767	6.7593	1000	1.9860	20.0
1.4672	7.4339	1100	1.9913	18.5714
1.4524	8.1085	1200	2.0059	19.9471
1.4523	8.7864	1300	2.0060	19.2593
1.4535	9.4610	1400	2.0232	19.9471
1.4464	10.1356	1500	2.0300	19.1534
1.4442	10.8136	1600	2.0349	19.7354

Framework versions

Transformers 4.56.2
Pytorch 2.7.1+cu118
Datasets 4.1.1
Tokenizers 0.22.1