pytorch tensorboard bart text2text-generation transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-roundup-4-4
  results: []
---

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# bart-large-cnn-finetuned-roundup-4-4

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: 0.7912
- Rouge1: 53.8175
- Rouge2: 35.1335
- Rougel: 38.0823
- Rougelsum: 51.2925
- Gen Len: 142.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 398  | 0.9455          | 52.8137 | 33.4924 | 35.5866 | 50.7208   | 142.0   |
| 1.1309        | 2.0   | 796  | 0.8397          | 54.0923 | 35.0799 | 37.4609 | 51.5914   | 142.0   |
| 0.6902        | 3.0   | 1194 | 0.7932          | 53.5752 | 35.0842 | 37.9295 | 51.0356   | 142.0   |
| 0.4951        | 4.0   | 1592 | 0.7912          | 53.8175 | 35.1335 | 38.0823 | 51.2925   | 142.0   |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
