whisper-small-twi-v1

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4264
• Wer Ortho: 29.9227
• Wer: 25.5518

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: 16
• 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: 300
• training_steps: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.4414	1.4368	500	0.4210	31.2416	26.9385
0.3449	2.8736	1000	0.3724	28.8726	24.7855
0.2134	4.3103	1500	0.3763	29.1037	25.0021
0.1751	5.7471	2000	0.3887	29.2717	24.9063
0.1140	7.1839	2500	0.4155	29.8303	25.5809
0.1024	8.6207	3000	0.4264	29.9227	25.5518

Framework versions

• Transformers 5.3.0
• Pytorch 2.10.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2