whisper-native-elderly-5-dutch – AI Model by golesheed | AlphaNeural AI

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whisper-native-elderly-5-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: 0.2887
Wer: 9.9198

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
0.5542	0.49	30	0.2941	13.0145
0.2716	0.98	60	0.2636	12.2538
0.1438	1.48	90	0.2603	11.0868
0.1345	1.97	120	0.2502	12.1809
0.0619	2.46	150	0.2587	12.3476
0.0552	2.95	180	0.2634	10.3366
0.0293	3.44	210	0.2722	10.0240
0.0206	3.93	240	0.2670	9.7739
0.0108	4.43	270	0.2838	9.8364
0.008	4.92	300	0.2887	9.9198

Framework versions

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