speecht5_finetuned_female_globo_add_token

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: 0.3416

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: 1e-05
• 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
0.4216	7.14	1000	0.3775
0.4003	14.27	2000	0.3635
0.3868	21.41	3000	0.3513
0.3863	28.55	4000	0.3475
0.3737	35.68	5000	0.3444
0.3753	42.82	6000	0.3439
0.3736	49.96	7000	0.3421
0.3719	57.09	8000	0.3419
0.3686	64.23	9000	0.3419
0.3694	71.36	10000	0.3416

Framework versions

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