ptah23/whisper-small-dv

Whisper Small Dv - Peter Gelderbloem

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2863
• Wer Ortho: 57.7129
• Wer: 11.2494

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Wer Ortho
0.1248	1.63	500	0.1684	12.9881	62.0447
0.0484	3.26	1000	0.1629	11.6493	58.6113
0.0315	4.89	1500	0.1878	11.7224	58.9386
0.0125	6.51	2000	0.2308	11.0895	57.2185
0.0058	8.14	2500	0.2671	11.0773	57.6224
0.0049	9.77	3000	0.2843	11.2564	57.6572
0.0033	11.4	3500	0.2845	11.0982	57.1558
0.0046	13.03	4000	0.2863	57.7129	11.2494

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.12.1