transformers tensorboard safetensors bart text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn
  results: []
---

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# bart-large-cnn

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2783
- Rouge1: 30.8678
- Rouge2: 14.3602
- Rougel: 25.3974
- Rougelsum: 28.9927

## 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: 5.6e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 50   | 3.3345          | 27.661  | 11.692  | 22.9317 | 25.4531   |
| No log        | 2.0   | 100  | 3.1512          | 31.6643 | 13.9022 | 24.8236 | 30.3283   |
| No log        | 3.0   | 150  | 3.2783          | 30.8678 | 14.3602 | 25.3974 | 28.9927   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
