transformers pytorch bart text2text-generation generated_from_trainer base_model:GuysTrans/bart-base-finetuned-xsum license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: GuysTrans/bart-base-finetuned-xsum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-generation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-generation

This model is a fine-tuned version of [GuysTrans/bart-base-finetuned-xsum](https://huggingface.co/GuysTrans/bart-base-finetuned-xsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0932
- Rouge1: 17.1543
- Rouge2: 12.9074
- Rougel: 16.512
- Rougelsum: 16.9278
- Bleu-1: 0.0079
- Bleu-2: 0.0073
- Bleu-3: 0.007
- Bleu-4: 0.0068
- Gen Len: 20.0

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
| 2.1136        | 1.0   | 28600 | 1.0932          | 17.1543 | 12.9074 | 16.512 | 16.9278   | 0.0079 | 0.0073 | 0.007  | 0.0068 | 20.0    |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
