speecht5_female2

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3345

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: 500
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3771	7.14	1000	0.3468
0.3619	14.27	2000	0.3372
0.3509	21.41	3000	0.3369
0.3486	28.55	4000	0.3322
0.335	35.68	5000	0.3320
0.3345	42.82	6000	0.3311
0.3305	49.96	7000	0.3328
0.328	57.09	8000	0.3332
0.3242	64.23	9000	0.3339
0.3234	71.36	10000	0.3345

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1
• Datasets 2.18.0
• Tokenizers 0.15.2