---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: LegalBERT_BART_fixed_V1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LegalBERT_BART_fixed_V1

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0808

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0968        | 1.0   | 69   | 2.3758          |
| 2.4271        | 2.0   | 138  | 2.1934          |
| 2.181         | 3.0   | 207  | 2.1207          |
| 2.028         | 4.0   | 276  | 2.0825          |
| 1.9049        | 5.0   | 345  | 2.0666          |
| 1.7949        | 6.0   | 414  | 2.0490          |
| 1.7092        | 7.0   | 483  | 2.0557          |
| 1.625         | 8.0   | 552  | 2.0643          |
| 1.5565        | 9.0   | 621  | 2.0572          |
| 1.4865        | 10.0  | 690  | 2.0816          |
| 1.4251        | 11.0  | 759  | 2.0808          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1