---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/bart-large
metrics:
- rouge
model-index:
- name: bart-large-samsum-2
  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-samsum-2

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: 1.4648
- Rouge1: 0.4729
- Rouge2: 0.2361
- Rougel: 0.3953
- Rougelsum: 0.3947
- Gen Len: 18.0

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 460  | 1.5889          | 0.4523 | 0.2142 | 0.3714 | 0.3708    | 18.0    |
| 2.2048        | 2.0   | 921  | 1.5293          | 0.4642 | 0.231  | 0.3875 | 0.3871    | 18.0    |
| 1.765         | 3.0   | 1381 | 1.4971          | 0.4662 | 0.2268 | 0.3864 | 0.3857    | 18.0    |
| 1.7019        | 4.0   | 1842 | 1.4893          | 0.471  | 0.2337 | 0.3934 | 0.3925    | 18.0    |
| 1.6734        | 5.0   | 2302 | 1.4844          | 0.4725 | 0.2338 | 0.3945 | 0.3937    | 18.0    |
| 1.6536        | 6.0   | 2763 | 1.4707          | 0.4717 | 0.2341 | 0.3935 | 0.3928    | 18.0    |
| 1.6493        | 7.0   | 3223 | 1.4746          | 0.4736 | 0.2357 | 0.3956 | 0.3947    | 18.0    |
| 1.6363        | 8.0   | 3684 | 1.4688          | 0.4731 | 0.2344 | 0.3937 | 0.393     | 18.0    |
| 1.6337        | 9.0   | 4144 | 1.4658          | 0.4725 | 0.2345 | 0.3937 | 0.393     | 18.0    |
| 1.6283        | 9.99  | 4600 | 1.4648          | 0.4729 | 0.2361 | 0.3953 | 0.3947    | 18.0    |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2