---
license: apache-2.0
base_model: monologg/kobert
tags:
- generated_from_trainer
model-index:
- name: kobert-emotion-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# kobert-emotion-classifier

This model is a fine-tuned version of [monologg/kobert](https://huggingface.co/monologg/kobert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0898

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0797        | 1.0   | 642  | 0.0962          |
| 0.0806        | 2.0   | 1284 | 0.0907          |
| 0.0806        | 3.0   | 1926 | 0.0898          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.4.0
- Datasets 2.19.0
- Tokenizers 0.19.1