---
license: mit
base_model: facebook/bart-large-xsum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: reddit_summarization_model
  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. -->

# reddit_summarization_model

This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9410
- Rouge1: 0.4169
- Rouge2: 0.163
- Rougel: 0.276
- Rougelsum: 0.3001
- Gen Len: 61.6276

## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 9
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.9905        | 1.0   | 972  | 1.8412          | 0.412  | 0.1593 | 0.2725 | 0.2965    | 61.7025 |
| 1.5293        | 2.0   | 1944 | 1.8022          | 0.4162 | 0.1634 | 0.2766 | 0.2998    | 61.6673 |
| 1.2934        | 3.0   | 2916 | 1.8352          | 0.4194 | 0.1641 | 0.2789 | 0.3019    | 61.548  |
| 1.1481        | 4.0   | 3888 | 1.8898          | 0.415  | 0.1623 | 0.2753 | 0.2985    | 61.5825 |
| 1.04          | 5.0   | 4860 | 1.9410          | 0.4169 | 0.163  | 0.276  | 0.3001    | 61.6276 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0