This model is a fine-tuned version of openai/whisper-small on the Wikimedia-Speech-Irish dataset. It achieves the following results on the evaluation set:

Loss: 0.2792
Wer: 21.5510

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: 8
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: 2500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6959	0.6623	500	0.6916	45.1903
0.3564	1.3245	1000	0.4082	27.8983
0.2594	1.9868	1500	0.3233	23.9319
0.1527	2.6490	2000	0.2916	22.0176
0.1062	3.3113	2500	0.2792	21.5510

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 2.18.0
Tokenizers 0.21.0

InoWouw/whisper-small-irish

Whisper Small Irish - Ino van de Wouw

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

InoWouw/
whisper-small-irish