|
|
--- |
|
|
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 |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# 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 |
|
|
|
