speecht5_finetuned_en16_lr0.0001 – AI Model by Olivia111 | AlphaNeural AI

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Olivia111/
speecht5_finetuned_en16_lr0.0001

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microsoft/speecht5_tts

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speecht5_finetuned_en16_lr0.0001

This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4458

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: 16
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4951	21.6216	100	0.4042
0.3963	43.2432	200	0.3986
0.3703	64.8649	300	0.4202
0.357	86.4865	400	0.4268
0.3528	108.1081	500	0.4501
0.3419	129.7297	600	0.4367
0.3314	151.3514	700	0.4399
0.3205	172.9730	800	0.4376
0.3127	194.5946	900	0.4444
0.3096	216.2162	1000	0.4458

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1