---
base_model: klue/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: mango-8-0.00002-fin
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mango-8-0.00002-fin

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: 1.8943
- Accuracy: 0.6359
- F1: 0.6341

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4634        | 1.0   | 932  | 1.3093          | 0.6319   | 0.6226 |
| 0.3085        | 2.0   | 1864 | 1.5492          | 0.6426   | 0.6304 |
| 0.1601        | 3.0   | 2796 | 1.8943          | 0.6359   | 0.6341 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0a0+b5021ba
- Datasets 2.6.2
- Tokenizers 0.14.1