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whisper-whisper-large-v3-zwksa – AI Model by Adrienziwo | AlphaNeural AI
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Adrienziwo
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whisper-whisper-large-v3-zwksa
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
zw
openai/whisper-large-v3
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-large-zwksa
This model is a fine-tuned version of
openai/whisper-large-v3
on the zwksa dataset. It achieves the following results on the evaluation set:
Loss: 0.2123
Wer: 33.9778
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: 4
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1846
0.4119
1000
0.2726
37.3784
0.159
0.8239
2000
0.2398
35.0722
0.1049
1.2358
3000
0.2214
33.1571
0.0751
1.6478
4000
0.2123
33.9778
Framework versions
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
