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whisper-base-quiztest – AI Model by tutikentuti | AlphaNeural AI
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whisper-base-quiztest
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tensorboard
safetensors
whisper
generated_from_trainer
tutikentuti/quiztest
openai/whisper-base
finetune
apache-2.0
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Whisper Base Quiztest
This model is a fine-tuned version of
openai/whisper-base
on the quiztest dataset. It achieves the following results on the evaluation set:
Loss: 0.0061
Wer: 77.6612
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: 5e-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: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2437
3.9683
500
0.1177
83.1084
0.008
7.9365
1000
0.0061
77.6612
Framework versions
Transformers 4.41.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
