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---
license: mit
base_model: pascalrai/nep-summ-BART
tags:
- generated_from_trainer
model-index:
- name: results
results: []
datasets:
- sanjeev-bhandari01/nepali-summarization-dataset
- sanjeev-bhandari01/XLSum-nepali-summerization-dataset
language:
- ne
metrics:
- rouge
pipeline_tag: text2text-generation
---
<!-- 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. -->
# results
<!--This model is a fine-tuned version of [pascalrai/nep-summ-BART](https://huggingface.co/pascalrai/nep-summ-BART) on an unknown dataset.-->
## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- label_smoothing_factor: 0.1
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2 |