speecht5_jenny_2000sample

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: 0.3933

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• 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
0.5538	0.4444	50	0.4639
0.507	0.8889	100	0.4439
0.4823	1.3333	150	0.4217
0.4739	1.7778	200	0.4156
0.4661	2.2222	250	0.4094
0.4582	2.6667	300	0.4071
0.439	3.1111	350	0.4024
0.4499	3.5556	400	0.4038
0.4379	4.0	450	0.4004
0.4294	4.4444	500	0.3995
0.427	4.8889	550	0.3963
0.4262	5.3333	600	0.3957
0.4319	5.7778	650	0.3959
0.4171	6.2222	700	0.3948
0.4248	6.6667	750	0.3967
0.4195	7.1111	800	0.3946
0.4174	7.5556	850	0.3939
0.4183	8.0	900	0.3945
0.4107	8.4444	950	0.3934
0.422	8.8889	1000	0.3933

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1