This model is a fine-tuned version of openai/whisper-tiny on the language-and-voice-lab/samromur_asr dataset. It achieves the following results on the evaluation set:

Loss: 0.8061
Wer: 53.125

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: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.4531	0.25	250	1.5444	88.0
0.8932	0.5	500	1.0078	62.0
0.7225	0.75	750	0.8466	53.625
0.6828	1.0	1000	0.8061	53.125

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.0
Tokenizers 0.13.2

einargizz/whisper_samromur

Whisper tiny Icelandic

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

einargizz/
whisper_samromur