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---
base_model: eslamxm/MBart-finetuned-ur-xlsum
tags:
- generated_from_trainer
model-index:
- name: urdu-news-70k-model
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-news-70k-model
This model is a fine-tuned version of [eslamxm/MBart-finetuned-ur-xlsum](https://huggingface.co/eslamxm/MBart-finetuned-ur-xlsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6146
## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7752 | 0.13 | 500 | 0.7989 |
| 0.8076 | 0.25 | 1000 | 0.7373 |
| 0.7701 | 0.38 | 1500 | 0.6972 |
| 0.6531 | 0.51 | 2000 | 0.6714 |
| 0.6418 | 0.63 | 2500 | 0.6477 |
| 0.623 | 0.76 | 3000 | 0.6292 |
| 0.6893 | 0.89 | 3500 | 0.6146 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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