metadata
license: apache-2.0
base_model: ltg/norbert3-large
tags:
- generated_from_trainer
model-index:
- name: NorBERT3-Large_FGN
results: []
NorBERT3-Large_FGN
This model is a fine-tuned version of ltg/norbert3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4464
- F1-score: 0.8361
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 120 | 0.4704 | 0.8059 |
| No log | 2.0 | 240 | 0.4812 | 0.8151 |
| No log | 3.0 | 360 | 0.8574 | 0.7980 |
| No log | 4.0 | 480 | 1.0347 | 0.7849 |
| 0.4487 | 5.0 | 600 | 1.3767 | 0.8214 |
| 0.4487 | 6.0 | 720 | 1.4754 | 0.8159 |
| 0.4487 | 7.0 | 840 | 1.4435 | 0.8333 |
| 0.4487 | 8.0 | 960 | 1.3504 | 0.8338 |
| 0.0369 | 9.0 | 1080 | 1.3592 | 0.8338 |
| 0.0369 | 10.0 | 1200 | 1.3162 | 0.8299 |
| 0.0369 | 11.0 | 1320 | 1.3533 | 0.8317 |
| 0.0369 | 12.0 | 1440 | 1.3645 | 0.8317 |
| 0.0093 | 13.0 | 1560 | 1.3810 | 0.8299 |
| 0.0093 | 14.0 | 1680 | 1.4039 | 0.8317 |
| 0.0093 | 15.0 | 1800 | 1.4163 | 0.8289 |
| 0.0093 | 16.0 | 1920 | 1.4252 | 0.8299 |
| 0.0057 | 17.0 | 2040 | 1.4199 | 0.8299 |
| 0.0057 | 18.0 | 2160 | 1.4326 | 0.8317 |
| 0.0057 | 19.0 | 2280 | 1.4467 | 0.8256 |
| 0.0057 | 20.0 | 2400 | 1.4464 | 0.8361 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1