metadata
base_model: eslamxm/MBart-finetuned-ur-xlsum
tags:
- generated_from_trainer
model-index:
- name: urdu-news-70k-model
results: []
urdu-news-70k-model
This model is a fine-tuned version of 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