---
base_model: klue/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: mango-16-0.00002-10-fin
  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. -->

# mango-16-0.00002-10-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: 3.0500
- Accuracy: 0.6357
- F1: 0.6333

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 466  | 2.1468          | 0.6171   | 0.6168 |
| 0.13          | 2.0   | 932  | 2.2649          | 0.6268   | 0.6204 |
| 0.137         | 3.0   | 1398 | 2.1698          | 0.6254   | 0.6221 |
| 0.1215        | 4.0   | 1864 | 2.1453          | 0.6265   | 0.6262 |
| 0.1048        | 5.0   | 2330 | 2.4639          | 0.6205   | 0.6214 |
| 0.0745        | 6.0   | 2796 | 2.7197          | 0.6341   | 0.6267 |
| 0.0524        | 7.0   | 3262 | 2.8052          | 0.6317   | 0.6283 |
| 0.0271        | 8.0   | 3728 | 2.9613          | 0.6297   | 0.6260 |
| 0.0146        | 9.0   | 4194 | 3.0469          | 0.6292   | 0.6282 |
| 0.0099        | 10.0  | 4660 | 3.0500          | 0.6357   | 0.6333 |


### Framework versions

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