transformers tensorboard safetensors mbart text2text-generation generated_from_trainer base_model:eslamxm/MBart-finetuned-ur-xlsum autotrain_compatible endpoints_compatible region:us
---
base_model: eslamxm/MBart-finetuned-ur-xlsum
tags:
- generated_from_trainer
model-index:
- name: urdu-news-70k-model
  results: []
---

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# 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
