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

# IE_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: 0.4341
- Accuracy: 0.9007

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9432        | 1.0   | 574  | 0.5054          | 0.8537   |
| 0.4765        | 2.0   | 1148 | 0.4133          | 0.8589   |
| 0.4471        | 3.0   | 1722 | 0.4228          | 0.8693   |
| 0.3666        | 4.0   | 2296 | 0.4627          | 0.8815   |
| 0.3508        | 5.0   | 2870 | 0.3704          | 0.8833   |
| 0.325         | 6.0   | 3444 | 0.3704          | 0.9024   |
| 0.2662        | 7.0   | 4018 | 0.3733          | 0.9024   |
| 0.226         | 8.0   | 4592 | 0.4024          | 0.8972   |
| 0.1978        | 9.0   | 5166 | 0.4198          | 0.9042   |
| 0.186         | 10.0  | 5740 | 0.4341          | 0.9007   |


### Framework versions

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