whispertiny_styletts_25sil_v1_0 – AI Model by albertuspekerti | AlphaNeural AI

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albertuspekerti/
whispertiny_styletts_25sil_v1_0

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openai/whisper-tiny

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whispertiny_styletts_25sil_v1_0

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

Loss: 1.5157
Wer: 38.8896

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0638	0.2286	1000	1.1389	45.5519
0.0383	0.4571	2000	1.1848	42.2339
0.029	0.6857	3000	1.2547	40.8870
0.0184	0.9143	4000	1.3745	40.8870
0.0177	1.1429	5000	1.3901	39.3561
0.0171	1.3714	6000	1.3677	39.4809
0.0107	1.6	7000	1.4280	38.8239
0.0137	1.8286	8000	1.4553	39.5401
0.0095	2.0571	9000	1.4822	39.4350
0.0043	2.2857	10000	1.5157	38.8896

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 4.0.0
Tokenizers 0.19.1