igbotts_refined – AI Model by kosinebolisa | AlphaNeural AI

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kosinebolisa/
igbotts_refined

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microsoft/speecht5_tts

endpoints_compatible

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igbotts_refined

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4884

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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.594	3.6538	500	0.5317
0.5516	7.3012	1000	0.5032
0.534	10.9550	1500	0.4977
0.5165	14.6024	2000	0.4930
0.507	18.2498	2500	0.4911
0.5144	21.9036	3000	0.4851
0.5025	25.5510	3500	0.4885
0.5	29.1983	4000	0.4884

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1