---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/bart-large
metrics:
- rouge
model-index:
- name: bart-large-oposum2
  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-large-oposum2

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2051
- Rouge1: 0.6185
- Rouge2: 0.6021
- Rougel: 0.6157
- Rougelsum: 0.6157
- Gen Len: 18.932

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 0.9984 | 156  | 3.5332          | 0.5855 | 0.5682 | 0.5823 | 0.5824    | 22.576  |
| No log        | 1.9968 | 312  | 3.2461          | 0.6109 | 0.5946 | 0.6084 | 0.6083    | 19.284  |
| No log        | 2.9952 | 468  | 3.2051          | 0.6185 | 0.6021 | 0.6157 | 0.6157    | 18.932  |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1