ABG_MODEL_EGP

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: 0.5052

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6296	0.2540	100	0.5643
0.594	0.5079	200	0.5455
0.5713	0.7619	300	0.5376
0.5647	1.0159	400	0.5277
0.5532	1.2698	500	0.5221
0.5522	1.5238	600	0.5151
0.5477	1.7778	700	0.5119
0.5443	2.0317	800	0.5098
0.5407	2.2857	900	0.5068
0.5376	2.5397	1000	0.5052

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1