whisper-small-twi-v1 – AI Model by MohammedSaabiq | AlphaNeural AI

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whisper-small-twi-v1

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automatic-speech-recognition

generated_from_trainer

openai/whisper-small

endpoints_compatible

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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