---
base_model: klue/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: mango-32-0.00002-10-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-32-0.00002-10-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: 2.5883
- Accuracy: 0.6357
- F1: 0.6324

## 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: 64
- eval_batch_size: 64
- 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   | 233  | 1.7759          | 0.6095   | 0.6127 |
| No log        | 2.0   | 466  | 1.8463          | 0.6030   | 0.5997 |
| 0.1567        | 3.0   | 699  | 1.8531          | 0.6297   | 0.6194 |
| 0.1567        | 4.0   | 932  | 2.0262          | 0.6183   | 0.6180 |
| 0.11          | 5.0   | 1165 | 2.1822          | 0.6167   | 0.6193 |
| 0.11          | 6.0   | 1398 | 2.3360          | 0.6380   | 0.6294 |
| 0.0622        | 7.0   | 1631 | 2.3473          | 0.6312   | 0.6286 |
| 0.0622        | 8.0   | 1864 | 2.5031          | 0.6319   | 0.6283 |
| 0.0294        | 9.0   | 2097 | 2.5552          | 0.6359   | 0.6315 |
| 0.0294        | 10.0  | 2330 | 2.5883          | 0.6357   | 0.6324 |


### Framework versions

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