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grow_classification_kobert
This model is a fine-tuned version of monologg/kobert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0859
- Accuracy: 0.6954
- F1: 0.6969
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|
| 0.9241 | 1.0 | 329 | 0.8600 | 0.6565 | 0.6569 |
| 0.599 | 2.0 | 658 | 0.8925 | 0.6942 | 0.6997 |
| 0.53 | 3.0 | 987 | 0.9136 | 0.6930 | 0.6875 |
| 0.4948 | 4.0 | 1316 | 0.9813 | 0.7037 | 0.7087 |
| 0.467 | 5.0 | 1645 | 1.0175 | 0.7006 | 0.7058 |
| 0.4549 | 6.0 | 1974 | 1.0363 | 0.7025 | 0.7051 |
| 0.4457 | 7.0 | 2303 | 1.0335 | 0.7057 | 0.7107 |
| 0.4367 | 8.0 | 2632 | 1.0678 | 0.6986 | 0.6981 |
| 0.4319 | 9.0 | 2961 | 1.0868 | 0.6978 | 0.6962 |
| 0.4277 | 10.0 | 3290 | 1.0859 | 0.6954 | 0.6969 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
