---
base_model: eenzeenee/t5-base-korean-summarization
tags:
- generated_from_trainer
model-index:
- name: FingerFriend-t5-base-v1
  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. -->

# FingerFriend-t5-base-v1

This model is a fine-tuned version of [eenzeenee/t5-base-korean-summarization](https://huggingface.co/eenzeenee/t5-base-korean-summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6214

## 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: 1e-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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2945        | 1.0   | 1735  | 0.7757          |
| 0.8016        | 2.0   | 3470  | 0.6987          |
| 0.7058        | 3.0   | 5205  | 0.6617          |
| 0.6402        | 4.0   | 6940  | 0.6387          |
| 0.5864        | 5.0   | 8675  | 0.6283          |
| 0.5476        | 6.0   | 10410 | 0.6214          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3