speecht5_finetuned_egypt_dialect

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: 0.4256

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• 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
0.5068	1.8265	100	0.4667
0.4739	3.6530	200	0.4497
0.4598	5.4795	300	0.4408
0.4574	7.3059	400	0.4326
0.4434	9.1324	500	0.4287
0.4403	10.9589	600	0.4260
0.4362	12.7854	700	0.4241
0.4291	14.6119	800	0.4228
0.4275	16.4384	900	0.4232
0.4256	18.2648	1000	0.4256

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1