zlm_b128_le4_s8000

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: 0.3140

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• training_steps: 8000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5174	0.8377	500	0.4794
0.4561	1.6754	1000	0.4022
0.4169	2.5131	1500	0.3854
0.4054	3.3508	2000	0.3649
0.3863	4.1885	2500	0.3528
0.3807	5.0262	3000	0.3480
0.3708	5.8639	3500	0.3432
0.366	6.7016	4000	0.3328
0.3575	7.5393	4500	0.3300
0.3607	8.3770	5000	0.3284
0.352	9.2147	5500	0.3232
0.3471	10.0524	6000	0.3189
0.3469	10.8901	6500	0.3171
0.3465	11.7277	7000	0.3161
0.3443	12.5654	7500	0.3159
0.3432	13.4031	8000	0.3140

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1