ceb_b128_le5_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
ceb_b128_le5_s4000

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microsoft/speecht5_tts

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ceb_b128_le5_s4000

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: 0.3943

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: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5272	39.2157	500	0.4584
0.4634	78.4314	1000	0.4220
0.4466	117.6471	1500	0.4104
0.4289	156.8627	2000	0.4017
0.4223	196.0784	2500	0.3969
0.4149	235.2941	3000	0.3960
0.4129	274.5098	3500	0.3962
0.4108	313.7255	4000	0.3943

Framework versions

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