speecht5_finetuned_voxpopuli_pl_20epochs

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

• Loss: 0.4458

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_ratio: 0.1
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.6474	1.0	210	0.5754
0.558	2.0	421	0.4976
0.5292	3.0	632	0.4788
0.5174	4.0	843	0.4693
0.5063	5.0	1053	0.4639
0.5053	6.0	1264	0.4599
0.4968	7.0	1475	0.4570
0.4913	8.0	1686	0.4549
0.4895	9.0	1896	0.4532
0.4876	10.0	2107	0.4520
0.487	11.0	2318	0.4501
0.4805	12.0	2529	0.4484
0.4789	13.0	2739	0.4495
0.4853	14.0	2950	0.4469
0.4797	15.0	3161	0.4468
0.4758	16.0	3372	0.4458
0.4729	17.0	3582	0.4458
0.4744	18.0	3793	0.4461
0.4759	19.0	4004	0.4462
0.4759	19.93	4200	0.4461

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.0
• Datasets 2.13.1
• Tokenizers 0.13.3