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whisper-base-specAug-non – AI Model by Youssef1234 | AlphaNeural AI
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Youssef1234
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whisper-base-specAug-non
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
Youssef1234/whisper-base-specAug
finetune
apache-2.0
endpoints_compatible
us
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whisper-base-specAug-non
This model is a fine-tuned version of
Youssef1234/whisper-base-specAug
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3537
Wer: 17.1040
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.208
0.25
239
0.3320
15.8293
0.1384
0.5
478
0.3435
17.0993
0.109
0.75
717
0.3537
17.1040
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.15.2
