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whisper-base-dutch-5 – AI Model by renesteeman | AlphaNeural AI
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whisper-base-dutch-5
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
nl
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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Whisper Base Dutch 5
This model is a fine-tuned version of
openai/whisper-base
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7039
Wer: 35.5034
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2337
3.9
500
0.5839
35.6376
0.0152
7.81
1000
0.6517
35.0783
0.0039
11.72
1500
0.6930
34.9888
0.0028
15.62
2000
0.7039
35.5034
Framework versions
Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
