Birma/speecht5_finetuned_zarma_v2
041
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speecht5finetunedzarma_v2
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: 0.5966
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
- trainbatchsize: 4
- evalbatchsize: 2
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 32
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 2000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 5.5.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2