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speech_T5_jahani_Finetune_Persian2 – AI Model by rezjhn | AlphaNeural AI
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speech_T5_jahani_Finetune_Persian2
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speech_T5_jahani_Finetune_Persian2
This model is a fine-tuned version of
microsoft/speecht5_tts
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3952
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: 3e-05
train_batch_size: 16
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.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: 300
training_steps: 1200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5135
3.5088
200
0.4541
0.4535
7.0175
400
0.4188
0.4279
10.5263
600
0.4056
0.4265
14.0351
800
0.4012
0.4215
17.5439
1000
0.3968
0.418
21.0526
1200
0.3952
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
