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whisper-small-nl – AI Model by kvanberendonck-bethel | AlphaNeural AI
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tensorboard
safetensors
whisper
generated_from_trainer
nl
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
us
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Whisper small nl - Michel Mesquita
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.0321
Wer: 1.8286
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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.1097
0.4685
1000
0.1142
7.6755
0.0724
0.9370
2000
0.0621
4.0514
0.0307
1.4055
3000
0.0412
2.6727
0.0285
1.8740
4000
0.0321
1.8286
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
