---
base_model: klue/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-intent-class-weighted
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-intent-class-weighted

This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5616
- Accuracy: 0.6871
- Macro F1: 0.4540
- Weighted F1: 0.6864

## 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
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 1.8729        | 1.0   | 859  | 1.5736          | 0.6703   | 0.3479   | 0.6513      |
| 0.9142        | 2.0   | 1718 | 1.4981          | 0.6742   | 0.3999   | 0.6641      |
| 0.639         | 3.0   | 2577 | 1.4641          | 0.6863   | 0.4465   | 0.6852      |
| 0.4608        | 4.0   | 3436 | 1.5182          | 0.6853   | 0.4604   | 0.6834      |
| 0.3498        | 5.0   | 4295 | 1.5616          | 0.6871   | 0.4540   | 0.6864      |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.8.0+cu128
- Datasets 2.19.0
- Tokenizers 0.19.1