kobert-emotion-classifier-v2
This model is a fine-tuned version of 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
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Model tree for slave-factory/kobert-emotion-classifier-v2
Base model
monologg/kobert