whisper-tiny-en – AI Model by voxxer | AlphaNeural AI

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voxxer/
whisper-tiny-en

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automatic-speech-recognition

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openai/whisper-tiny

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Whisper Tiny English

This model is a fine-tuned version of openai/whisper-tiny on the Minds 14 dataset. It achieves the following results on the evaluation set:

Loss: 0.4154
Wer Ortho: 0.2659
Wer: 0.2586

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 20
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
4.2901	0.33	5	4.2556	0.4220	0.2919
4.3552	0.67	10	3.7784	0.4226	0.2931
3.453	1.0	15	2.9546	0.4152	0.2907
2.9147	1.33	20	2.4090	0.3988	0.2931
2.3042	1.67	25	1.7869	0.3701	0.3001
1.6056	2.0	30	1.1284	0.3494	0.3012
0.988	2.33	35	0.6892	0.3860	0.3403
0.6605	2.67	40	0.5611	0.3128	0.2849
0.4645	3.0	45	0.4982	0.3091	0.2901
0.4884	3.33	50	0.4640	0.2963	0.2855
0.404	3.67	55	0.4453	0.2884	0.2814
0.4745	4.0	60	0.4268	0.2762	0.2697
0.303	4.33	65	0.4182	0.2829	0.2720
0.2717	4.67	70	0.4119	0.2829	0.2750
0.3464	5.0	75	0.4080	0.2860	0.2761
0.2193	5.33	80	0.4054	0.2823	0.2750
0.2138	5.67	85	0.4064	0.2762	0.2680
0.1571	6.0	90	0.4102	0.2799	0.2715
0.1398	6.33	95	0.4146	0.2768	0.2697
0.1523	6.67	100	0.4154	0.2659	0.2586

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3