Valdimarb13/whisper-small-icelandic

Whisper Small Icelandic

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

• Loss: 0.2613
• Wer: 23.0409

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3551	0.18	1000	0.4322	35.0421
0.2541	0.36	2000	0.3249	27.4721
0.231	0.53	3000	0.2781	24.2234
0.2277	0.71	4000	0.2613	23.0409

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2