fil_b32_le4_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
fil_b32_le4_s4000

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microsoft/speecht5_tts

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fil_b32_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: 0.4067

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: 2
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: 2000
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4923	11.1111	500	0.4452
0.4488	22.2222	1000	0.4221
0.4413	33.3333	1500	0.4192
0.4318	44.4444	2000	0.4231
0.4155	55.5556	2500	0.4181
0.3961	66.6667	3000	0.4119
0.394	77.7778	3500	0.4066
0.3791	88.8889	4000	0.4067

Framework versions

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