speecht5_azerconnect

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: 0.5560

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: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7315	0.0848	100	0.6580
0.6603	0.1696	200	0.6081
0.634	0.2544	300	0.5827
0.6136	0.3392	400	0.5633
0.6034	0.4240	500	0.5560

Framework versions

• Transformers 4.42.4
• Pytorch 2.7.0+cpu
• Datasets 3.5.1
• Tokenizers 0.19.1