ceb_b64_le5_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
ceb_b64_le5_s4000

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microsoft/speecht5_tts

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ceb_b64_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: 0.3942

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: 4
total_train_batch_size: 64
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
0.536	19.8020	500	0.4640
0.4674	39.6040	1000	0.4247
0.4479	59.4059	1500	0.4102
0.4356	79.2079	2000	0.4032
0.4277	99.0099	2500	0.3962
0.418	118.8119	3000	0.3955
0.4162	138.6139	3500	0.3940
0.4082	158.4158	4000	0.3942

Framework versions

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