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---
library_name: transformers
license: mit
base_model: Shaju07/urdu_tts_0.1_B
tags:
- generated_from_trainer
model-index:
- name: urdu_tts_recovery_A
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# urdu_tts_recovery_A
This model is a fine-tuned version of [Shaju07/urdu_tts_0.1_B](https://huggingface.co/Shaju07/urdu_tts_0.1_B) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4344
- eval_runtime: 28.3679
- eval_samples_per_second: 37.225
- eval_steps_per_second: 18.613
- epoch: 14.7059
- step: 2750
## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 2000
- training_steps: 10000
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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