CorpusModel

This model is a fine-tuned version of microsoft/speecht5_tts on the arabic_speech_corpus dataset. It achieves the following results on the evaluation set:

• Loss: 0.3719

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
0.488	1.9900	100	0.4340
0.4372	3.9801	200	0.3982
0.4248	5.9701	300	0.3886
0.4087	7.9602	400	0.3755
0.4004	9.9502	500	0.3719

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1