speecht5_finetuned_voxpopuli_es – AI Model by h3110Fr13nd | AlphaNeural AI

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h3110Fr13nd/
speecht5_finetuned_voxpopuli_es

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microsoft/speecht5_tts

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speecht5_finetuned_voxpopuli_es

This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:

Loss: 0.4743

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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7149	1.1799	100	0.6094
0.6526	2.3599	200	0.5722
0.5987	3.5398	300	0.5286
0.5604	4.7198	400	0.5086
0.5468	5.8997	500	0.4940
0.5322	7.0796	600	0.4859
0.5272	8.2596	700	0.4807
0.5245	9.4395	800	0.4772
0.5169	10.6195	900	0.4765
0.5204	11.7994	1000	0.4743

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.19.1