speecht5_finetuned_voxpopuli_fr

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: 0.5054

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: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
0.6907	2.01	50	0.6140
0.6341	4.02	100	0.5730
0.5993	6.04	150	0.5417
0.5707	9.0	200	0.5216
0.5551	11.02	250	0.5130
0.5589	13.03	300	0.5110
0.5447	15.04	350	0.5075
0.5463	18.01	400	0.5073
0.5381	20.02	450	0.5057
0.5409	22.03	500	0.5054

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3