---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: distilbart-cnn-12-6_1e-5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbart-cnn-12-6_1e-5

This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0778
- Rouge1: 51.4305
- Rouge2: 30.8023
- Rougel: 40.977
- Rougelsum: 45.5778
- Gen Len: 79.9607

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.2906        | 0.62  | 500  | 1.1144          | 49.7349 | 29.2413 | 39.062  | 43.9746   | 81.3764 |
| 1.0677        | 1.25  | 1000 | 1.0895          | 50.4239 | 30.3398 | 40.2029 | 44.8709   | 80.7528 |
| 0.9725        | 1.87  | 1500 | 1.0740          | 51.3474 | 31.1253 | 40.79   | 45.717    | 81.8455 |
| 0.8629        | 2.5   | 2000 | 1.0816          | 50.8972 | 30.6779 | 40.4662 | 45.3636   | 81.7191 |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.2