---
base_model: google/long-t5-tglobal-base
library_name: peft
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: long-t5-tglobal-base-lora-finetuned
  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. -->

# long-t5-tglobal-base-lora-finetuned

This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co./google/long-t5-tglobal-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1044
- Rouge1: 18.5008
- Rouge2: 10.9163
- Rougel: 15.5588
- Rougelsum: 17.0777
- Gen Len: 19.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.7746        | 1.0   | 4725  | 1.1997          | 16.5663 | 8.1613  | 13.4306 | 15.1181   | 19.0    |
| 1.6751        | 2.0   | 9450  | 1.1665          | 17.3821 | 9.5041  | 14.7744 | 16.1736   | 19.0    |
| 1.6576        | 3.0   | 14175 | 1.1467          | 17.7909 | 10.0228 | 15.1104 | 16.3255   | 19.0    |
| 1.6061        | 4.0   | 18900 | 1.1407          | 17.9449 | 9.6832  | 14.8839 | 16.2538   | 19.0    |
| 1.6107        | 5.0   | 23625 | 1.1311          | 17.8787 | 9.6712  | 14.7942 | 16.1142   | 19.0    |
| 1.5935        | 6.0   | 28350 | 1.1274          | 18.1678 | 10.0074 | 14.937  | 16.4508   | 19.0    |
| 1.5649        | 7.0   | 33075 | 1.1178          | 17.9792 | 9.915   | 14.8056 | 16.2568   | 19.0    |
| 1.5707        | 8.0   | 37800 | 1.1141          | 18.0138 | 9.9492  | 15.0511 | 16.423    | 19.0    |
| 1.555         | 9.0   | 42525 | 1.1126          | 17.7218 | 9.8772  | 14.8897 | 16.3123   | 19.0    |
| 1.57          | 10.0  | 47250 | 1.1111          | 18.0723 | 10.4508 | 15.2597 | 16.6341   | 19.0    |
| 1.5189        | 11.0  | 51975 | 1.1119          | 18.2068 | 10.5754 | 15.3172 | 16.8677   | 19.0    |
| 1.5619        | 12.0  | 56700 | 1.1074          | 18.3754 | 10.6836 | 15.4124 | 16.9231   | 19.0    |
| 1.5498        | 13.0  | 61425 | 1.1056          | 18.3001 | 10.7064 | 15.3411 | 16.9528   | 19.0    |
| 1.552         | 14.0  | 66150 | 1.1028          | 18.4318 | 10.8917 | 15.4457 | 17.0401   | 19.0    |
| 1.5608        | 15.0  | 70875 | 1.1032          | 18.4332 | 10.8393 | 15.4484 | 17.0042   | 19.0    |
| 1.5288        | 16.0  | 75600 | 1.1044          | 18.5008 | 10.9163 | 15.5588 | 17.0777   | 19.0    |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1