---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: distilbart-cnn-12-6-finetuned-scitldr
  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-finetuned-scitldr

This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the scitldr dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.7113
- eval_rouge1: 31.4431
- eval_rouge2: 13.1766
- eval_rougeL: 24.2038
- eval_rougeLsum: 26.3167
- eval_runtime: 151.7265
- eval_samples_per_second: 4.08
- eval_steps_per_second: 0.514
- epoch: 4.0
- step: 996

## 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: 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: 8

### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1