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speecht5_finetuned – AI Model by mariammohamed00 | AlphaNeural AI
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speecht5_finetuned
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
MBZUAI/speecht5_tts_clartts_ar
finetune
cc-by-nc-4.0
endpoints_compatible
us
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speecht5_finetuned
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: 0.4921
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 OptimizerNames.ADAMW_TORCH_FUSED 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
1.3030
100.0
100
0.5162
1.1406
200.0
200
0.4982
1.0533
300.0
300
0.4873
0.9883
400.0
400
0.4983
0.9457
500.0
500
0.4921
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
