diana9m/whisper_small_dk_07.03

Whisper Small dk

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6207
• Wer: 29.4944

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4214	1.37	200	0.5155	32.5933
0.1758	2.75	400	0.4674	29.5260
0.0591	4.12	600	0.5032	30.5361
0.0258	5.5	800	0.5336	30.0573
0.017	6.87	1000	0.5676	29.2419
0.0067	8.25	1200	0.5738	29.1209
0.0046	9.62	1400	0.5981	29.2839
0.0027	11.0	1600	0.6114	29.4418
0.0021	12.37	1800	0.6184	29.4155
0.002	13.75	2000	0.6207	29.4944

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2