UAE1k

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: 0.4901

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: 8
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 2500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5308	4.08	200	0.4912
0.5091	8.16	400	0.4925
0.4987	12.24	600	0.4895
0.5085	16.33	800	0.4896
0.5055	20.41	1000	0.4894
0.4941	24.49	1200	0.4972
0.4833	28.57	1400	0.4888
0.4963	32.65	1600	0.4916
0.4803	36.73	1800	0.4906
0.4918	40.82	2000	0.4904
0.4765	44.9	2200	0.4886
0.4782	48.98	2400	0.4901

Framework versions

• Transformers 4.39.3
• Pytorch 2.3.0+cu118
• Datasets 3.0.0
• Tokenizers 0.15.2