BanUrsus/whisper-small-dv

Whisper Small Dv - BanUrsus

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: 0.2999
• Wer Ortho: 56.6961
• Wer: 10.8095

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.1219	1.63	500	0.1725	63.1729	13.4698
0.0472	3.26	1000	0.1644	58.0820	11.8076
0.0288	4.89	1500	0.1815	58.2283	11.3294
0.0067	6.53	2000	0.2322	59.0919	11.2946
0.0018	8.16	2500	0.2608	57.5179	11.0217
0.001	9.79	3000	0.2815	57.1558	10.8895
0.0002	11.42	3500	0.2943	56.8633	10.8634
0.0002	13.05	4000	0.2999	56.6961	10.8095

Framework versions

• Transformers 4.39.2
• Pytorch 1.13.0+cu117
• Datasets 2.16.1
• Tokenizers 0.15.1