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speecht5egypt – AI Model by CarmelaFinianos | AlphaNeural AI
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CarmelaFinianos
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speecht5egypt
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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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speecht5egypt
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: 0.4951
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: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5587
5.7514
500
0.5285
0.5236
11.4971
1000
0.5040
0.5027
17.2428
1500
0.4959
0.5111
22.9942
2000
0.4951
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
