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whisper-tiny-nl-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-nl-puct-4k
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
nl
fleurs
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Dutch Punctuation 5k - Chee Li
This model is a fine-tuned version of
openai/whisper-tiny
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 1.0318
Wer: 193.0864
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2297
5.1546
1000
0.8384
125.7963
0.0387
10.3093
2000
0.9217
167.4590
0.0112
15.4639
3000
1.0067
201.5565
0.0081
20.6186
4000
1.0318
193.0864
Framework versions
Transformers 4.46.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3
