---
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: large-5-6
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: xsum
      type: xsum
      config: default
      split: validation
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 42.7733
---

<!-- 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. -->

# large-5-6

This model is a fine-tuned version of [x/large-5-6/](https://huggingface.co/x/large-5-6/) on the xsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4699
- Rouge1: 42.7733
- Rouge2: 19.4278
- Rougel: 34.8382
- Rougelsum: 34.8342
- Gen Len: 26.1797

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 3.0

### Training results



### Framework versions

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