speecht5_finetuned_marar1000

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: 0.4988

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7169	3.1873	100	0.6299
0.5985	6.3745	200	0.5623
0.5607	9.5618	300	0.5406
0.5473	12.7490	400	0.5500
0.5191	15.9363	500	0.5234
0.5276	19.1235	600	0.5260
0.5116	22.3108	700	0.5064
0.504	25.4980	800	0.5191
0.4838	28.6853	900	0.5001
0.4825	31.8725	1000	0.4988

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Tokenizers 0.20.3