speecht5_finetuned_metalsongs

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: 0.4426

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
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5213	34.78	100	0.5506
0.436	69.57	200	0.4810
0.4004	104.35	300	0.4776
0.3816	139.13	400	0.4639
0.3644	173.91	500	0.4536
0.3583	208.7	600	0.4539
0.3515	243.48	700	0.4476
0.3534	278.26	800	0.4489
0.3471	313.04	900	0.4466
0.3463	347.83	1000	0.4426

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3