---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- thaisum
metrics:
- rouge
model-index:
- name: my_thaisum_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: thaisum
      type: thaisum
      config: thaisum
      split: validation
      args: thaisum
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.0808
---

<!-- 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_thaisum_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the thaisum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2693
- Rouge1: 0.0808
- Rouge2: 0.0381
- Rougel: 0.0803
- Rougelsum: 0.0803
- Gen Len: 18.9585

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.565         | 1.0   | 2500 | 0.2799          | 0.0605 | 0.0231 | 0.0599 | 0.0598    | 18.976  |
| 0.3769        | 2.0   | 5000 | 0.2693          | 0.0808 | 0.0381 | 0.0803 | 0.0803    | 18.9585 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3