---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta_sentcls
  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. -->

# deberta_sentcls

This model is a fine-tuned version of [kisti/korscideberta](https://huggingface.co/kisti/korscideberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4937
- Accuracy: 0.8409

## 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: 1.5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9366        | 1.03  | 500  | 0.6700          | 0.7659   |
| 0.472         | 2.05  | 1000 | 0.5110          | 0.8261   |
| 0.3567        | 3.08  | 1500 | 0.4979          | 0.8371   |
| 0.2626        | 4.11  | 2000 | 0.4937          | 0.8409   |


### Framework versions

- Transformers 4.12.5
- Pytorch 1.10.1+cu102
- Datasets 2.14.6
- Tokenizers 0.10.3