Modelpublic

CasperMuz/whisper-base-sna-cleaned-s2s-m-curriculum-4.5k

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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Model Card

Whisper Base Shona - S2S-M Curriculum 3000 steps

This model is a fine-tuned version of openai/whisper-base on the Cleaned Google WAXAL Shona dataset. It achieves the following results on the evaluation set:

—Loss: 0.4155
—Wer: 36.5641

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
—trainbatchsize: 16
—evalbatchsize: 8
—seed: 42
—optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
—lrschedulertype: linear
—lrschedulerwarmup_steps: 450
—training_steps: 4500
—mixedprecisiontraining: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8726	0.5995	500	0.6528	52.2635
0.3447	1.1990	1000	0.5072	43.9481
0.4441	1.7986	1500	0.4546	41.4442
0.2473	2.3981	2000	0.4379	40.0185
0.3866	2.9976	2500	0.4269	40.1108
0.2246	3.5971	3000	0.4198	37.4114
0.3989	4.1966	3500	0.4188	37.5608
0.2698	4.7962	4000	0.4135	37.9871
0.1525	5.3957	4500	0.4155	36.5641

Framework versions

—Transformers 5.14.1
—Pytorch 2.13.0+cu130
—Datasets 5.0.1
—Tokenizers 0.22.2