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---
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
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