speecht5_finetuned_fleurs_fr

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

• Loss: 0.3627

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: 6
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 6
• total_train_batch_size: 36
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 250
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.3958	2.82	250	0.3692
0.3942	5.64	500	0.3651
0.3924	8.46	750	0.3615
0.3927	11.28	1000	0.3627

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.2
• Tokenizers 0.13.3