metadata
library_name: transformers
license: mit
base_model: Sana1207/Hindi_SpeechT5_finetuned
tags:
- generated_from_trainer
model-index:
- name: Sindhi-TTS
results: []
Sindhi-TTS
This model is a fine-tuned version of Sana1207/Hindi_SpeechT5_finetuned on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4860
- eval_runtime: 91.8769
- eval_samples_per_second: 19.396
- eval_steps_per_second: 9.698
- epoch: 15.9830
- step: 4000
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: 16
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 5000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3