---
library_name: transformers
base_model: klue/roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta_fine_idiom
  results: []
---

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

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: 0.3425

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4465        | 1.0   | 225  | 0.5807          |
| 0.3269        | 2.0   | 450  | 0.4507          |
| 0.1317        | 3.0   | 675  | 0.3461          |
| 0.001         | 4.0   | 900  | 0.3994          |
| 0.0003        | 5.0   | 1125 | 0.3425          |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1