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whisper-small-dr-ar – AI Model by Marialab | AlphaNeural AI
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Marialab
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whisper-small-dr-ar
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
Custom_activation_from_scratch train_whisper(12layerschange,10000_2000_2000_200)
generated_from_trainer
ar
darija-c
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper small darija translate
This model is a fine-tuned version of
openai/whisper-small
on the Darija-C dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Bleu: 0.6434
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 10000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
0.7235
133.3333
2000
0.5970
0.05
0.0257
266.6667
4000
0.0500
0.6200
0.0003
400.0
6000
0.0002
0.7200
0.0001
533.3333
8000
0.0001
0.6567
0.0001
666.6667
10000
0.0001
0.6434
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 2.19.2
Tokenizers 0.20.3
