---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Vichu-T5
  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. -->

# Vichu-T5

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7762
- Rouge1: 35.1347
- Rouge2: 19.4192
- Rougel: 31.7999
- Rougelsum: 32.8835
- Gen Len: 16.2025

## 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: 5e-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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.1865        | 1.0   | 6501  | 1.8760          | 34.1463 | 18.5152 | 30.698  | 31.8035   | 16.3475 |
| 2.1069        | 2.0   | 13002 | 1.8004          | 34.8873 | 19.3631 | 31.5821 | 32.6451   | 16.2370 |
| 2.0697        | 3.0   | 19503 | 1.7762          | 35.1347 | 19.4192 | 31.7999 | 32.8835   | 16.2025 |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2