metadata
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
bart-base-bodo
This model is a fine-tuned version of 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