---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-xsum-sentence-paraphrased-10-cnt-supervised-basic
  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-xsum-sentence-paraphrased-10-cnt-supervised-basic

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: 2.1986
- Rouge1: 0.3258
- Rouge2: 0.1195
- Rougel: 0.2587
- Rougelsum: 0.2587

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.7279        | 1.6667  | 5    | 2.2952          | 0.1646 | 0.0223 | 0.1266 | 0.1265    |
| 1.9318        | 3.3333  | 10   | 2.0213          | 0.2401 | 0.0725 | 0.191  | 0.1909    |
| 1.4017        | 5.0     | 15   | 1.9251          | 0.3029 | 0.1091 | 0.2401 | 0.2401    |
| 1.2787        | 6.6667  | 20   | 1.9361          | 0.3227 | 0.1212 | 0.2564 | 0.2563    |
| 0.6613        | 8.3333  | 25   | 1.9616          | 0.3272 | 0.1226 | 0.2594 | 0.2594    |
| 0.6822        | 10.0    | 30   | 2.0036          | 0.3287 | 0.1238 | 0.2607 | 0.2607    |
| 0.5634        | 11.6667 | 35   | 2.0476          | 0.3298 | 0.1251 | 0.263  | 0.2629    |
| 0.418         | 13.3333 | 40   | 2.0928          | 0.3317 | 0.1253 | 0.2642 | 0.2641    |
| 0.3908        | 15.0    | 45   | 2.1372          | 0.328  | 0.1219 | 0.2608 | 0.2606    |
| 0.2241        | 16.6667 | 50   | 2.1689          | 0.3261 | 0.1208 | 0.2593 | 0.2593    |
| 0.2268        | 18.3333 | 55   | 2.1893          | 0.3251 | 0.1192 | 0.2586 | 0.2585    |
| 0.2135        | 20.0    | 60   | 2.1986          | 0.3258 | 0.1195 | 0.2587 | 0.2587    |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1