---
license: bsd-3-clause
base_model: LA1512/Led-pubmed-20K-4096-epoch2
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: RL-20k-epoch1
  results: []
---

<!-- 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 [LA1512/Led-pubmed-20K-4096-epoch2](https://huggingface.co/LA1512/Led-pubmed-20K-4096-epoch2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3315
- Rouge1: 43.8629
- Rouge2: 14.6606
- Rougel: 21.757
- Rougelsum: 38.2488
- Gen Len: 304.884

## 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: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- label_smoothing_factor: 0.1

### Training results



### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1