pytorch tensorboard bert text-classification transformers generated_from_trainer model-index
---
tags:
- generated_from_trainer
model-index:
- name: kc-bert_finetuned_unsmile
  results: []
---

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# kc-bert_finetuned_unsmile

This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1326
- Lrap: 0.8753

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Lrap   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 235  | 0.1458          | 0.8612 |
| No log        | 2.0   | 470  | 0.1280          | 0.8738 |
| 0.1685        | 3.0   | 705  | 0.1257          | 0.8791 |
| 0.1685        | 4.0   | 940  | 0.1281          | 0.8777 |
| 0.0774        | 5.0   | 1175 | 0.1326          | 0.8753 |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 1.17.0
- Tokenizers 0.12.1
