speecht5_finetuned_common_voice_pt

This model is a fine-tuned version of pedropauletti/speecht5_finetuned_common_voice_pt on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4610

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: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4962	6.58	1000	0.4737
0.4823	13.16	2000	0.4651
0.4824	19.74	3000	0.4612
0.4845	26.32	4000	0.4610

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3