ceb_b128_le3_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
ceb_b128_le3_s4000

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microsoft/speecht5_tts

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ceb_b128_le3_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: 0.4401

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: 0.001
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
0.42	39.6040	500	0.4051
0.4187	79.2079	1000	0.4409
0.4401	118.8119	1500	0.4780
0.4456	158.4158	2000	0.4567
0.4221	198.0198	2500	0.4531
0.3571	237.6238	3000	0.4504
0.3287	277.2277	3500	0.4408
0.3154	316.8317	4000	0.4401

Framework versions

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