speecht5_finetuned_english_tehnical – AI Model by Yassmen | AlphaNeural AI

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Yassmen/
speecht5_finetuned_english_tehnical

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microsoft/speecht5_tts

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speecht5_finetuned_english_tehnical

This model is a fine-tuned version of microsoft/speecht5_tts on English_Technical_data. It achieves the following results on the evaluation set:

Loss: 0.4508

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
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: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5468	0.3573	100	0.4985
0.5389	0.7146	200	0.4955
0.5149	1.0719	300	0.4767
0.5034	1.4292	400	0.4669
0.4961	1.7865	500	0.4644
0.4903	2.1438	600	0.4643
0.4836	2.5011	700	0.4587
0.4829	2.8584	800	0.4539
0.4752	3.2157	900	0.4515
0.4776	3.5730	1000	0.4508

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1