---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
datasets:
- Mwnthai/bodo-legal-summary-data
metrics:
- accuracy
model-index:
- name: bart-base-bodo
  results:
  - task:
      name: Masked Language Modeling
      type: fill-mask
    dataset:
      name: Mwnthai/bodo-legal-summary-data
      type: Mwnthai/bodo-legal-summary-data
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.04001446442091465
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-bodo

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the Mwnthai/bodo-legal-summary-data dataset.
It achieves the following results on the evaluation set:
- Loss: 7.4122
- Accuracy: 0.0400

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.48.3
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.21.0