whispertiny_buah25sil_v1_4 – AI Model by albertuspekerti | AlphaNeural AI

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albertuspekerti/
whispertiny_buah25sil_v1_4

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openai/whisper-tiny

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whispertiny_buah25sil_v1_4

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: 0.0579
Wer: 6.9081

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
0.0162	0.2286	1000	0.0467	10.0481
0.0099	0.4571	2000	0.0423	7.9967
0.0086	0.6857	3000	0.0404	7.7454
0.0097	0.9143	4000	0.0553	9.3783
0.0073	1.1429	5000	0.0443	7.1593
0.0068	1.3714	6000	0.0495	7.1174
0.0029	1.6	7000	0.0615	7.9967
0.0036	1.8286	8000	0.0568	7.0965
0.0009	2.0571	9000	0.0557	7.0756
0.0004	2.2857	10000	0.0579	6.9081

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 4.0.0
Tokenizers 0.19.1