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

# TC_model

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: 0.5923
- Accuracy: 0.9405

## 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   | 85   | 0.6354          | 0.9167   |
| No log        | 2.0   | 170  | 0.5542          | 0.9048   |
| No log        | 3.0   | 255  | 0.4928          | 0.9405   |
| No log        | 4.0   | 340  | 0.5524          | 0.9405   |
| No log        | 5.0   | 425  | 0.5733          | 0.9405   |
| 0.0575        | 6.0   | 510  | 0.5815          | 0.9405   |
| 0.0575        | 7.0   | 595  | 0.5857          | 0.9405   |
| 0.0575        | 8.0   | 680  | 0.5896          | 0.9405   |
| 0.0575        | 9.0   | 765  | 0.5922          | 0.9405   |
| 0.0575        | 10.0  | 850  | 0.5923          | 0.9405   |


### Framework versions

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