whisper-non-native-adult-7-dutch – AI Model by golesheed | AlphaNeural AI

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whisper-non-native-adult-7-dutch

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automatic-speech-recognition

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openai/whisper-large-v2

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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: 0.4367
Wer: 13.2014

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
0.7481	0.55	30	0.4470	24.0337
0.3791	1.09	60	0.3935	17.3940
0.2077	1.64	90	0.3841	14.4015
0.1739	2.18	120	0.3804	14.5729
0.0918	2.73	150	0.4027	15.1808
0.0684	3.27	180	0.4156	15.3367
0.0391	3.82	210	0.4038	15.5393
0.0197	4.36	240	0.4326	13.5287
0.0128	4.91	270	0.4367	13.2014

Framework versions

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