metadata
license: apache-2.0
base_model: monologg/kobert
tags:
- generated_from_trainer
model-index:
- name: kobert-emotion-classifier
results: []
kobert-emotion-classifier
This model is a fine-tuned version of 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