This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 cy dataset. It achieves the following results on the evaluation set:

Loss: 0.4569
Wer: 23.0736

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: 5e-05
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0597	6.1	1000	0.4690	29.4666
0.0107	12.2	2000	0.4707	26.2671
0.0026	18.29	3000	0.4643	24.6763
0.0007	24.39	4000	0.4629	23.8024
0.0004	30.49	5000	0.4610	23.0616

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2

ALM/whisper-cy-small-augmented

Whisper Small Welsh - Robust

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ALM/
whisper-cy-small-augmented