---
base_model: klue/roberta-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: aha_class_v1
  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. -->

# aha_class_v1

This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0464
- F1: 0.99
- Roc Auc: 0.99
- Accuracy: 0.99

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 36   | 0.1850          | 0.9500 | 0.95    | 0.95     |
| No log        | 2.0   | 72   | 0.1223          | 0.96   | 0.96    | 0.96     |
| No log        | 3.0   | 108  | 0.0464          | 0.99   | 0.99    | 0.99     |
| No log        | 4.0   | 144  | 0.0509          | 0.99   | 0.99    | 0.99     |
| No log        | 5.0   | 180  | 0.0855          | 0.98   | 0.98    | 0.98     |
| No log        | 6.0   | 216  | 0.0898          | 0.98   | 0.98    | 0.98     |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1