---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_summarize_vi
  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. -->

# my_summarize_vi

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4318
- Rouge1: 0.1529
- Rouge2: 0.0521
- Rougel: 0.1315
- Rougelsum: 0.1315
- Gen Len: 18.9997

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.6652        | 1.0   | 4195  | 1.5465          | 0.1466 | 0.0468 | 0.1246 | 0.1246    | 18.9991 |
| 1.5757        | 2.0   | 8390  | 1.4740          | 0.1509 | 0.0503 | 0.1291 | 0.1292    | 18.9997 |
| 1.5398        | 3.0   | 12585 | 1.4414          | 0.1524 | 0.0517 | 0.1306 | 0.1306    | 18.9997 |
| 1.5271        | 4.0   | 16780 | 1.4318          | 0.1529 | 0.0521 | 0.1315 | 0.1315    | 18.9997 |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3