speecht5_finetuned_male_globo_add_token_2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3445

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
0.3989	6.48	1000	0.3666
0.3899	12.97	2000	0.3541
0.3787	19.45	3000	0.3500
0.3756	25.93	4000	0.3494
0.3739	32.41	5000	0.3463
0.3728	38.9	6000	0.3448
0.3686	45.38	7000	0.3447
0.3687	51.86	8000	0.3446
0.3682	58.35	9000	0.3465
0.3683	64.83	10000	0.3445

Framework versions

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