---
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
datasets:
- tau/scrolls
metrics:
- rouge
model-index:
- name: longt5_xl_gov_5
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: tau/scrolls gov_report
      type: tau/scrolls
      config: gov_report
      split: validation
      args: gov_report
    metrics:
    - name: Rouge1
      type: rouge
      value: 54.2522
---

<!-- 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. -->

# longt5_xl_gov_5

This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the tau/scrolls gov_report dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4141
- Rouge1: 54.2522
- Rouge2: 24.7528
- Rougel: 27.2444
- Rougelsum: 51.5916
- Gen Len: 889.25

## 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: 0.001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.6209        | 1.0   | 136  | 1.5434          | 45.0062 | 18.1618 | 23.3808 | 41.7616   | 904.1996 |
| 1.418         | 1.99  | 272  | 1.4141          | 54.2522 | 24.7528 | 27.2444 | 51.5916   | 889.25   |
| 1.2626        | 3.0   | 409  | 1.4249          | 52.4332 | 23.708  | 27.2902 | 49.8071   | 878.4095 |
| 1.0992        | 4.0   | 545  | 1.4211          | 55.2041 | 26.5229 | 29.9951 | 52.6487   | 670.7047 |
| 0.9974        | 4.99  | 680  | 1.4569          | 55.9961 | 26.2205 | 29.0409 | 53.3109   | 883.0463 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3