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speecht5_finetuned_cv_sq

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speecht5_finetuned_cv_sq

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: 0.4970

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: 4
eval_batch_size: 2
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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5899	9.3787	1000	0.5392
0.5424	18.7573	2000	0.5075
0.531	28.1360	3000	0.4995
0.5359	37.5147	4000	0.4970

Framework versions

Transformers 4.43.1
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

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Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for Kushtrim/speecht5_finetuned_cv_sq

Base model

microsoft/speecht5_tts

Finetuned

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Collection including Kushtrim/speecht5_finetuned_cv_sq

Modele në shqip

10 items • Updated Jun 25 • 4

Evaluation results

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