transformers tensorboard safetensors led text2text-generation generated_from_trainer dataset:Mwnthai/bodo-legal-summary-data base_model:allenai/led-base-16384 base_model:finetune:allenai/led-base-16384 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
base_model: allenai/led-base-16384
datasets:
- Mwnthai/bodo-legal-summary-data
library_name: transformers
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: bodo-legal-led-summ
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: Mwnthai/bodo-legal-summary-data
      type: Mwnthai/bodo-legal-summary-data
    metrics:
    - type: rouge
      value: 0.0
      name: Rouge1
---

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# bodo-legal-led-summ

This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the Mwnthai/bodo-legal-summary-data dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1236
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 128.0

## 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
