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speecht5_finetuned_tesi-tts_V2 – AI Model by feddypaga | AlphaNeural AI
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speecht5_finetuned_tesi-tts_V2
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tensorboard
safetensors
speecht5
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
us
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speecht5_finetuned_tesi-tts_V2
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: 0.4108
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.5228
0.6914
100
0.4607
0.472
1.3829
200
0.4330
0.461
2.0743
300
0.4228
0.4503
2.7658
400
0.4156
0.4456
3.4572
500
0.4108
Framework versions
Transformers 4.42.4
Pytorch 2.6.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1