---
base_model: klue/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: pogny_5_128_0.01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bella05/huggingface/runs/aozqa32o)
# pogny_5_128_0.01

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: 1.6856
- Accuracy: 0.4376
- F1: 0.2665

## 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: 0.01
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.3955        | 1.0   | 603  | 1.8993          | 0.4376   | 0.2665 |
| 2.1177        | 2.0   | 1206 | 2.1650          | 0.4376   | 0.2665 |
| 2.0063        | 3.0   | 1809 | 2.1854          | 0.4376   | 0.2665 |
| 1.8805        | 4.0   | 2412 | 1.8213          | 0.4376   | 0.2665 |
| 1.7214        | 5.0   | 3015 | 1.6856          | 0.4376   | 0.2665 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1