whisper-small-somali

This model is a fine-tuned version of Zyroxx66/whisper-small-somali on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1304
• Wer: 9.8739

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2316	1.2903	200	0.2340	25.6653
0.0663	2.5806	400	0.1504	14.2857
0.0253	3.8710	600	0.1323	11.2745
0.0088	5.1613	800	0.1244	10.0140
0.0080	6.4516	1000	0.1288	10.8894
0.0052	7.7419	1200	0.1278	10.0840
0.0027	9.0323	1400	0.1300	9.9090
0.0015	10.3226	1600	0.1291	9.8739
0.0022	11.6129	1800	0.1303	9.8739
0.0020	12.9032	2000	0.1304	9.8739

Framework versions

• Transformers 5.15.0
• Pytorch 2.10.0+cu128
• Datasets 5.0.1
• Tokenizers 0.22.2