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Arabicttegypt – AI Model by CarmelaFinianos | AlphaNeural AI
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CarmelaFinianos
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Arabicttegypt
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
MBZUAI/speecht5_tts_clartts_ar
finetune
mit
endpoints_compatible
us
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Arabicttegypt
This model is a fine-tuned version of
MBZUAI/speecht5_tts_clartts_ar
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5164
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: 0.0001
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5796
1.1331
100
0.5698
0.5436
2.2663
200
0.5432
0.5168
3.3994
300
0.5293
0.5096
4.5326
400
0.5199
0.4976
5.6657
500
0.5164
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
