zlm_b32_le4and5_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
zlm_b32_le4and5_s4000

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microsoft/speecht5_tts

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zlm_b32_le4_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: 0.3362

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
0.3715	0.2094	500	0.3407
0.3764	0.4188	1000	0.3403
0.3665	0.6283	1500	0.3418
0.3579	0.8377	2000	0.3401
0.3674	1.0471	2500	0.3386
0.3604	1.2565	3000	0.3372
0.3614	1.4660	3500	0.3368
0.3671	1.6754	4000	0.3362

Framework versions

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