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

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whisper-non-native-adult-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: 0.4378
Wer: 19.2034

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
0.7537	0.55	30	0.4344	40.1612
0.3924	1.09	60	0.3993	40.9199
0.2148	1.64	90	0.3921	22.2538
0.1731	2.18	120	0.4108	21.7955
0.0933	2.73	150	0.3953	20.7523
0.0682	3.27	180	0.4179	17.2594
0.0377	3.82	210	0.4136	17.3226
0.0227	4.36	240	0.4298	20.0411
0.0137	4.91	270	0.4378	19.2034

Framework versions

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