transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:lcw99/t5-base-korean-text-summary autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: lcw99/t5-base-korean-text-summary
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
  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_awesome_billsum_model

This model is a fine-tuned version of [lcw99/t5-base-korean-text-summary](https://huggingface.co/lcw99/t5-base-korean-text-summary) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1454
- Rouge1: 0.1698
- Rouge2: 0.0688
- Rougel: 0.1623
- Rougelsum: 0.1632
- Gen Len: 19.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 495  | 1.1729          | 0.1723 | 0.072  | 0.1654 | 0.1656    | 19.0    |
| 1.4585        | 2.0   | 990  | 1.1454          | 0.1698 | 0.0688 | 0.1623 | 0.1632    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
