This model is a fine-tuned version of openai/whisper-small on the Common Voice 24 Albanian dataset. It achieves the following results on the evaluation set:

Loss: 0.1172
Wer: 8.9025

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 300
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1051	1.6420	1000	0.1882	17.6296
0.0050	3.2841	2000	0.1172	8.9025

Framework versions

Transformers 5.1.0
Pytorch 2.9.0+cu126
Datasets 4.5.0
Tokenizers 0.22.2

jooemamba/whisper-fine-tuned-alb

Whisper Small SQ

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jooemamba/
whisper-fine-tuned-alb