whisper-native-elderly-6-dutch – AI Model by golesheed | AlphaNeural AI

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whisper-native-elderly-6-dutch

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automatic-speech-recognition

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openai/whisper-large-v2

endpoints_compatible

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Whisper Large V2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3047
Wer: 8.8078

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: 3e-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: 20
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5556	0.49	30	0.3116	14.7321
0.2736	0.98	60	0.2567	12.1736
0.1361	1.48	90	0.2769	10.2024
0.1364	1.97	120	0.2525	9.1643
0.0582	2.46	150	0.2734	10.9049
0.0568	2.95	180	0.2669	9.2796
0.0289	3.44	210	0.2841	8.7973
0.0206	3.93	240	0.2877	8.7868
0.0107	4.43	270	0.3009	8.8393
0.0089	4.92	300	0.3047	8.8078

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.15.0