---
license: apache-2.0
base_model: monologg/kobert
tags:
- generated_from_trainer
model-index:
- name: kobert-emotion-classifier-v2
  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. -->

# kobert-emotion-classifier-v2

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: 1.3843

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6216        | 1.0   | 577  | 1.5829          |
| 1.5737        | 2.0   | 1154 | 1.4580          |
| 1.4451        | 3.0   | 1731 | 1.3843          |


### Framework versions

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