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speecht5_finetuned_igbo – AI Model by Remostart | AlphaNeural AI
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Remostart
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speecht5_finetuned_igbo
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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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speecht5_finetuned_igbo
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: 0.6538
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: 5e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
0.8661
0.1778
100
0.7291
0.7864
0.3556
200
0.7310
0.7416
0.5333
300
0.6759
0.7474
0.7111
400
0.6616
0.7017
0.8889
500
0.6538
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.2.0
Tokenizers 0.22.1
