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ArabicTTS – AI Model by CarmelaFinianos | AlphaNeural AI
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CarmelaFinianos
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ArabicTTS
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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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Model card
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Arabictts
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: 0.5791
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: 700
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.6455
6.9565
100
0.6248
0.6067
13.9130
200
0.5949
0.5847
20.8696
300
0.5851
0.5713
27.8261
400
0.5806
0.5597
34.7826
500
0.5779
0.5525
41.7391
600
0.5832
0.5511
48.6957
700
0.5791
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
