speecht5-finetuned-voxpopuli-sl

This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset. It achieves the following results on the evaluation set:

• Loss: 0.4598

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• 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: 125
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.6473	3.39	100	0.5703
0.5709	6.78	200	0.4998
0.5339	10.17	300	0.4802
0.5158	13.56	400	0.4733
0.5275	16.95	500	0.4691
0.4983	20.34	600	0.4671
0.499	23.73	700	0.4638
0.5003	27.12	800	0.4610
0.496	30.51	900	0.4610
0.4935	33.9	1000	0.4598

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3