---
library_name: transformers
base_model: klue/roberta-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: causal_classifier_small
  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. -->

# causal_classifier_small

This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co./klue/roberta-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7335
- Accuracy: 0.7015

## 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: 270
- eval_batch_size: 270
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4603        | 1.0   | 2038  | 0.7334          | 0.6838   |
| 0.4032        | 2.0   | 4076  | 0.7335          | 0.7015   |
| 0.3648        | 3.0   | 6114  | 0.7501          | 0.6834   |
| 0.3323        | 4.0   | 8152  | 0.7589          | 0.6995   |
| 0.3056        | 5.0   | 10190 | 0.8167          | 0.6979   |
| 0.2828        | 6.0   | 12228 | 0.8580          | 0.7007   |
| 0.2645        | 7.0   | 14266 | 0.8950          | 0.6935   |
| 0.2473        | 8.0   | 16304 | 0.9598          | 0.6866   |
| 0.2318        | 9.0   | 18342 | 1.0059          | 0.6866   |
| 0.2249        | 10.0  | 20380 | 1.0261          | 0.6858   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1