---
base_model: klue/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: pogny_5_64_0.01
  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. -->

[<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/jojvlp2s)
# pogny_5_64_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: 1.6866
- 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.5357        | 1.0   | 1205 | 2.2542          | 0.4376   | 0.2665 |
| 2.2118        | 2.0   | 2410 | 2.0758          | 0.4376   | 0.2665 |
| 2.0506        | 3.0   | 3615 | 2.0029          | 0.4376   | 0.2665 |
| 1.8985        | 4.0   | 4820 | 1.9957          | 0.4376   | 0.2665 |
| 1.709         | 5.0   | 6025 | 1.6866          | 0.4376   | 0.2665 |


### Framework versions

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