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whisper-largelora-ar – AI Model by kawther1 | AlphaNeural AI
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kawther1
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whisper-largelora-ar
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peft
tensorboard
safetensors
generated_from_trainer
common_voice_16_1
openai/whisper-large
adapter
apache-2.0
us
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whisper-largelora-ar
This model is a fine-tuned version of
openai/whisper-large
on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
Loss: 1.3158
Wer Ortho: 49.1826
Wer: 59.3335
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: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 15
training_steps: 157
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.7568
0.8351
157
1.3158
49.1826
59.3335
Framework versions
PEFT 0.11.2.dev0
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
