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with-harakah – AI Model by azizillo | AlphaNeural AI
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with-harakah
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tensorboard
safetensors
whisper
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
us
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with-harakah
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0044
eval_wer: 9.4689
eval_runtime: 9757.536
eval_samples_per_second: 2.05
eval_steps_per_second: 0.171
epoch: 2.0691
step: 137500
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: 8
eval_batch_size: 12
seed: 42
gradient_accumulation_steps: 2
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
num_epochs: 5
Framework versions
Transformers 4.40.0
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.19.1