fil_b128_le4_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
fil_b128_le4_s4000

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microsoft/speecht5_tts

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fil_b128_le4_s4000

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: 0.4081

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4635	44.4444	500	0.4207
0.4317	88.8889	1000	0.4081
0.412	133.3333	1500	0.4051
0.395	177.7778	2000	0.4049
0.3848	222.2222	2500	0.4063
0.3738	266.6667	3000	0.4063
0.3618	311.1111	3500	0.4072
0.357	355.5556	4000	0.4081

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1