---
base_model: klue/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: label_4_Test
  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. -->

# label_4_Test

This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0461
- Accuracy: 0.9899

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 99   | 0.0693          | 0.9798   |
| No log        | 2.0   | 198  | 0.0522          | 0.9798   |
| No log        | 3.0   | 297  | 0.0581          | 0.9697   |
| No log        | 4.0   | 396  | 0.0394          | 0.9899   |
| No log        | 5.0   | 495  | 0.0367          | 0.9899   |
| 0.1504        | 6.0   | 594  | 0.0506          | 0.9899   |
| 0.1504        | 7.0   | 693  | 0.0402          | 0.9899   |
| 0.1504        | 8.0   | 792  | 0.0476          | 0.9899   |
| 0.1504        | 9.0   | 891  | 0.0453          | 0.9899   |
| 0.1504        | 10.0  | 990  | 0.0461          | 0.9899   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2