File size: 1,592 Bytes
6e0ae7a 2d03a46 6e0ae7a 2d03a46 6e0ae7a 2d03a46 6e0ae7a 2d03a46 6e0ae7a 2d03a46 6e0ae7a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
base_model: eenzeenee/t5-small-korean-summarization
tags:
- generated_from_trainer
model-index:
- name: FingerFriend-t5-small
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-small
This model is a fine-tuned version of [eenzeenee/t5-small-korean-summarization](https://huggingface.co/eenzeenee/t5-small-korean-summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6002
## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4509 | 1.0 | 342 | 0.7916 |
| 0.8917 | 2.0 | 684 | 0.7062 |
| 0.7846 | 3.0 | 1026 | 0.6640 |
| 0.72 | 4.0 | 1368 | 0.6334 |
| 0.6804 | 5.0 | 1710 | 0.6100 |
| 0.6387 | 6.0 | 2052 | 0.6002 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|