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whisper-base-ar-mix – AI Model by deepdml | AlphaNeural AI
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tensorboard
safetensors
whisper
generated_from_trainer
ar
mozilla-foundation/common_voice_17_0
openai/whisper-base
finetune
apache-2.0
model-index
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Whisper Base ar
This model is a fine-tuned version of
openai/whisper-base
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 2.5272
Wer: 62.6842
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: 64
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: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3483
0.2
1000
2.0647
67.7943
0.1912
1.0454
2000
2.3245
65.8907
0.131
1.2454
3000
2.4512
63.3511
0.0954
2.0908
4000
2.4555
62.8998
0.0711
2.2908
5000
2.5272
62.6842
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
