---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-pbmed-hierarchicall
  results: []
---

<!-- 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-pbmed-hierarchicall

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3741
- Rouge1: 23.99
- Rouge2: 3.43
- Rougel: 15.21
- Rougelsum: 21.93

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.9967        | 0.2668 | 200  | 3.6014          | 0.0    | 0.0    | 0.0    | 0.0       |
| 3.8428        | 0.5337 | 400  | 3.4873          | 23.23  | 3.18   | 15.17  | 21.08     |
| 3.7321        | 0.8005 | 600  | 3.4202          | 23.41  | 3.18   | 14.28  | 21.41     |
| 3.6064        | 1.0674 | 800  | 3.3899          | 0.0    | 0.0    | 0.0    | 0.0       |
| 3.5746        | 1.3342 | 1000 | 3.3741          | 23.99  | 3.43   | 15.21  | 21.93     |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1