speecht5_finetuned_wolof_text_speech_1

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

• Loss: 0.3067

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: 0.0001
• 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: 100
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3436	10.6809	1000	0.3205
0.3259	21.3618	2000	0.3155
0.3132	32.0427	3000	0.3102
0.3064	42.7236	4000	0.3078
0.2966	53.4045	5000	0.3080
0.2966	64.0854	6000	0.3072
0.2915	74.7664	7000	0.3066
0.2868	85.4473	8000	0.3081
0.2864	96.1282	9000	0.3066
0.2867	106.8091	10000	0.3067

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0