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

# InstructTweetSummarizer

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3565
- Rouge1: 47.5452
- Rouge2: 25.3674
- Rougel: 36.0812
- Rougelsum: 36.2167
- Gen Len: 107.74

## 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: 5
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.5304        | 1.0   | 500  | 0.3506          | 46.2605 | 23.1881 | 33.9634 | 34.0538   | 108.25  |
| 0.2188        | 2.0   | 1000 | 0.3462          | 48.0532 | 25.4668 | 36.3198 | 36.449    | 106.76  |
| 0.1677        | 3.0   | 1500 | 0.3565          | 47.5452 | 25.3674 | 36.0812 | 36.2167   | 107.74  |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.7
- Tokenizers 0.14.1