ceb_b128_le4_s8000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
ceb_b128_le4_s8000

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microsoft/speecht5_tts

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ceb_b128_le4_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: 0.4096

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: 8
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: 2000
training_steps: 8000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4432	39.6040	500	0.4058
0.4129	79.2079	1000	0.3996
0.3992	118.8119	1500	0.3986
0.3814	158.4158	2000	0.3966
0.3688	198.0198	2500	0.4021
0.3574	237.6238	3000	0.4000
0.3482	277.2277	3500	0.3990
0.3421	316.8317	4000	0.4014
0.3414	356.4356	4500	0.4059
0.3328	396.0396	5000	0.4065
0.3277	435.6436	5500	0.4062
0.3248	475.2475	6000	0.4069
0.3245	514.8515	6500	0.4071
0.3219	554.4554	7000	0.4096
0.3227	594.0594	7500	0.4112
0.3191	633.6634	8000	0.4096

Framework versions

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