malay_dataset_checkpoint – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
malay_dataset_checkpoint

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microsoft/speecht5_tts

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malay_dataset_checkpoint

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: 0.5938

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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.8835	0.17	500	1.1947
1.156	0.34	1000	0.9847
1.0174	0.51	1500	0.8688
0.9117	0.68	2000	0.7840
0.8413	0.86	2500	0.7218
0.8081	1.03	3000	0.7093
0.7662	1.2	3500	0.6677
0.746	1.37	4000	0.6525
0.7318	1.54	4500	0.6492
0.7043	1.71	5000	0.6472
0.7157	1.88	5500	0.6153
0.6821	2.05	6000	0.6070
0.692	2.23	6500	0.6133
0.671	2.4	7000	0.6089
0.6676	2.57	7500	0.6000
0.6769	2.74	8000	0.5956
0.6612	2.91	8500	0.5938

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2