speecht5-finetuned-fleurs-it-it

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

• Loss: 0.3797

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: 200
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5243	2.35	200	0.4537
0.4541	4.69	400	0.3979
0.4369	7.04	600	0.3874
0.4303	9.38	800	0.3830
0.4262	11.73	1000	0.3797

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3