speecht5_finetuned_antonio – AI Model by guilhermebastos96 | AlphaNeural AI

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speecht5_finetuned_antonio

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microsoft/speecht5_tts

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speecht5_finetuned_antonio

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: 0.2766

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3944	8.9787	1000	0.3490
0.354	17.9574	2000	0.3180
0.3328	26.9360	3000	0.3005
0.3204	35.9147	4000	0.2934
0.3077	44.8934	5000	0.2876
0.3031	53.8721	6000	0.2828
0.3048	62.8507	7000	0.2812
0.2992	71.8294	8000	0.2794
0.3005	80.8081	9000	0.2772
0.3001	89.7868	10000	0.2766

Framework versions

Transformers 4.40.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.19.1