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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ccdv/arxiv-summarization
metrics:
- rouge
model-index:
- name: results
results:
- task:
name: Summarization
type: summarization
dataset:
name: ccdv/arxiv-summarization
type: ccdv/arxiv-summarization
config: section
split: validation
args: section
metrics:
- name: Rouge1
type: rouge
value: 35.6639
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-1](https://huggingface.co/sshleifer/distilbart-xsum-12-1) on the ccdv/arxiv-summarization dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3066
- Rouge1: 35.6639
- Rouge2: 10.5717
- Rougel: 21.095
- Rougelsum: 31.2685
- Gen Len: 81.44
## 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: 5e-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
### Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2
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