|
--- |
|
license: cc-by-4.0 |
|
base_model: NbAiLab/nb-bert-large |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: nb-bert-FGN |
|
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. --> |
|
|
|
# nb-bert-FGN |
|
|
|
This model is a fine-tuned version of [NbAiLab/nb-bert-large](https://huggingface.co/NbAiLab/nb-bert-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8455 |
|
- F1-score: 0.8640 |
|
|
|
## 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 | 0.4694 | 0.8310 | |
|
| No log | 2.0 | 240 | 0.4810 | 0.8225 | |
|
| No log | 3.0 | 360 | 0.3942 | 0.8528 | |
|
| No log | 4.0 | 480 | 0.7082 | 0.7709 | |
|
| 0.4938 | 5.0 | 600 | 0.7041 | 0.8333 | |
|
| 0.4938 | 6.0 | 720 | 0.6616 | 0.8528 | |
|
| 0.4938 | 7.0 | 840 | 0.9447 | 0.8226 | |
|
| 0.4938 | 8.0 | 960 | 0.8971 | 0.8464 | |
|
| 0.2424 | 9.0 | 1080 | 0.9245 | 0.8348 | |
|
| 0.2424 | 10.0 | 1200 | 0.8455 | 0.8640 | |
|
| 0.2424 | 11.0 | 1320 | 0.8109 | 0.8571 | |
|
| 0.2424 | 12.0 | 1440 | 1.0194 | 0.8566 | |
|
| 0.1235 | 13.0 | 1560 | 0.9609 | 0.8533 | |
|
| 0.1235 | 14.0 | 1680 | 1.0777 | 0.8435 | |
|
| 0.1235 | 15.0 | 1800 | 1.1128 | 0.8450 | |
|
| 0.1235 | 16.0 | 1920 | 1.0391 | 0.8582 | |
|
| 0.0621 | 17.0 | 2040 | 1.1569 | 0.8507 | |
|
| 0.0621 | 18.0 | 2160 | 1.1449 | 0.8492 | |
|
| 0.0621 | 19.0 | 2280 | 1.1715 | 0.8492 | |
|
| 0.0621 | 20.0 | 2400 | 1.1702 | 0.8564 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
