zlm_b128_le5_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
zlm_b128_le5_s4000

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microsoft/speecht5_tts

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zlm_b128_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: 0.3979

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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 4010
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6764	0.8375	500	0.5792
0.5579	1.6750	1000	0.4839
0.5004	2.5126	1500	0.4486
0.4789	3.3501	2000	0.4311
0.4555	4.1876	2500	0.4116
0.4521	5.0251	3000	0.4070
0.4372	5.8626	3500	0.3982
0.4451	6.7002	4000	0.3979

Framework versions

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