fil_b128_le5_s8000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
fil_b128_le5_s8000

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microsoft/speecht5_tts

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fil_b128_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: 0.4053

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: 4
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: 2000
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5575	43.4783	500	0.4795
0.4877	86.9565	1000	0.4371
0.4582	130.4348	1500	0.4196
0.4486	173.9130	2000	0.4145
0.4353	217.3913	2500	0.4096
0.4261	260.8696	3000	0.4057
0.4206	304.3478	3500	0.4049
0.4117	347.8261	4000	0.4065
0.4123	391.3043	4500	0.4029
0.4117	434.7826	5000	0.4046
0.4053	478.2609	5500	0.4045
0.4064	521.7391	6000	0.4047
0.4058	565.2174	6500	0.4042
0.3995	608.6957	7000	0.4058
0.4076	652.1739	7500	0.4054
0.4042	695.6522	8000	0.4053

Framework versions

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