whisper-native-elderly-9-dutch – AI Model by golesheed | AlphaNeural AI

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whisper-native-elderly-9-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: 0.3288
Wer: 10.1449

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
0.547	0.49	30	0.3162	11.6867
0.2746	0.98	60	0.2737	11.8923
0.1356	1.48	90	0.2783	12.7351
0.1356	1.97	120	0.2870	12.4165
0.0697	2.46	150	0.2864	11.5223
0.0544	2.95	180	0.2922	10.3505
0.0246	3.44	210	0.3186	10.3916
0.0217	3.93	240	0.3104	10.2580
0.0113	4.43	270	0.3237	10.2066
0.009	4.92	300	0.3288	10.1449

Framework versions

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