ceb_b32_le5_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
ceb_b32_le5_s4000

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microsoft/speecht5_tts

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ceb_b32_le5_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: 0.3955

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: 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
0.5656	9.9010	500	0.4763
0.4835	19.8020	1000	0.4318
0.4607	29.7030	1500	0.4160
0.437	39.6040	2000	0.4027
0.4363	49.5050	2500	0.4004
0.4248	59.4059	3000	0.3980
0.4228	69.3069	3500	0.3965
0.4241	79.2079	4000	0.3955

Framework versions

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