whisper-native-elderly-3-dutch – AI Model by golesheed | AlphaNeural AI

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golesheed/
whisper-native-elderly-3-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: 0.3074
Wer: 8.5830

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
0.5501	0.49	30	0.2986	11.6004
0.2904	0.98	60	0.2648	10.1717
0.1426	1.48	90	0.2685	10.5448
0.1339	1.97	120	0.2609	8.9349
0.0571	2.46	150	0.2817	8.9135
0.0585	2.95	180	0.2846	8.5830
0.0291	3.44	210	0.3041	10.2783
0.0201	3.93	240	0.2999	8.6470
0.0115	4.43	270	0.3039	8.4551
0.0084	4.92	300	0.3074	8.5830

Framework versions

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