---
license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: pogny-persona-emotion-bert-finetuning-1
  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. -->

# pogny-persona-emotion-bert-finetuning-1

This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4030
- Accuracy: 0.8256
- F1: 0.8253

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.487         | 1.0   | 4153  | 0.4409          | 0.8322   | 0.8276 |
| 0.374         | 2.0   | 8306  | 0.4491          | 0.8342   | 0.8330 |
| 0.2794        | 3.0   | 12459 | 0.5038          | 0.8338   | 0.8316 |
| 0.1871        | 4.0   | 16612 | 0.6531          | 0.8335   | 0.8322 |
| 0.1428        | 5.0   | 20765 | 0.8888          | 0.8258   | 0.8240 |
| 0.0968        | 6.0   | 24918 | 1.0803          | 0.8186   | 0.8186 |
| 0.076         | 7.0   | 29071 | 1.1708          | 0.8267   | 0.8261 |
| 0.0516        | 8.0   | 33224 | 1.2664          | 0.8270   | 0.8257 |
| 0.0368        | 9.0   | 37377 | 1.3662          | 0.8270   | 0.8264 |
| 0.0233        | 10.0  | 41530 | 1.4030          | 0.8256   | 0.8253 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.0
- Datasets 2.17.1
- Tokenizers 0.15.2