---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- eli5
metrics:
- rouge
model-index:
- name: eli5
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: eli5
      type: eli5
      config: LFQA_reddit
      split: validation_eli5
      args: LFQA_reddit
    metrics:
    - name: Rouge1
      type: rouge
      value: 14.6325
---

<!-- 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. -->

# eli5

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the eli5 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2569
- Rouge1: 14.6325
- Rouge2: 2.3714
- Rougel: 11.2941
- Rougelsum: 13.2006
- Gen Len: 18.9911

## 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: 2e-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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.4057        | 1.0   | 34080 | 2.2708          | 14.6356 | 2.3501 | 11.3428 | 13.213    | 18.9946 |
| 2.3943        | 2.0   | 68160 | 2.2569          | 14.6325 | 2.3714 | 11.2941 | 13.2006   | 18.9911 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1