ceb_b64_le5_s8000

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: 0.3930

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: 32
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• training_steps: 8000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5525	19.6078	500	0.4686
0.4756	39.2157	1000	0.4276
0.4543	58.8235	1500	0.4116
0.4346	78.4314	2000	0.4028
0.4292	98.0392	2500	0.3997
0.4166	117.6471	3000	0.3952
0.4122	137.2549	3500	0.3957
0.4063	156.8627	4000	0.3940
0.4028	176.4706	4500	0.3951
0.3982	196.0784	5000	0.3931
0.4055	215.6863	5500	0.3946
0.4019	235.2941	6000	0.3925
0.4	254.9020	6500	0.3940
0.4046	274.5098	7000	0.3953
0.3955	294.1176	7500	0.3945
0.3944	313.7255	8000	0.3930

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1