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---
tags:
- generated_from_trainer
model-index:
- name: urdu_speech_tt
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_speech_tt
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4651
## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4987 | 1.47 | 100 | 0.4647 |
| 0.5107 | 2.94 | 200 | 0.4657 |
| 0.501 | 4.41 | 300 | 0.4653 |
| 0.5251 | 5.88 | 400 | 0.4674 |
| 0.5066 | 7.35 | 500 | 0.4661 |
| 0.5129 | 8.82 | 600 | 0.4696 |
| 0.5082 | 10.29 | 700 | 0.4663 |
| 0.5011 | 11.76 | 800 | 0.4646 |
| 0.5042 | 13.24 | 900 | 0.4653 |
| 0.5007 | 14.71 | 1000 | 0.4651 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3
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