---
license: apache-2.0
base_model: google-t5/t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-large-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. -->

# t5-large-finetuned

This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6085
- Rouge1: 25.8315
- Rouge2: 11.4547
- Rougel: 22.5227
- Rougelsum: 22.7341

## 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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.7803        | 1.0   | 5351  | 1.6070          | 25.1375 | 10.9135 | 21.8817 | 22.0576   |
| 1.4798        | 2.0   | 10702 | 1.4737          | 25.4328 | 11.0728 | 21.8859 | 22.0964   |
| 1.2923        | 3.0   | 16053 | 1.4838          | 25.6553 | 11.3169 | 22.1861 | 22.3694   |
| 1.1509        | 4.0   | 21404 | 1.4842          | 25.7181 | 11.4215 | 22.271  | 22.4394   |
| 1.0404        | 5.0   | 26755 | 1.5121          | 26.0812 | 11.8877 | 22.7516 | 22.941    |
| 0.9533        | 6.0   | 32106 | 1.5602          | 25.5218 | 11.486  | 22.2236 | 22.4401   |
| 0.888         | 7.0   | 37457 | 1.5832          | 25.8289 | 11.5647 | 22.5507 | 22.7091   |
| 0.8424        | 8.0   | 42808 | 1.6085          | 25.8315 | 11.4547 | 22.5227 | 22.7341   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2