|
--- |
|
license: cc-by-4.0 |
|
base_model: NbAiLab/nb-bert-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: nbbert_NCST |
|
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. --> |
|
|
|
# nbbert_NCST |
|
|
|
This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4123 |
|
- F1-score: 0.8174 |
|
|
|
## 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1-score | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.5078 | 1.0 | 535 | 0.4123 | 0.8174 | |
|
| 0.417 | 2.0 | 1070 | 0.4540 | 0.8027 | |
|
| 0.2917 | 3.0 | 1605 | 0.5587 | 0.8007 | |
|
| 0.1978 | 4.0 | 2140 | 0.8186 | 0.7875 | |
|
| 0.1333 | 5.0 | 2675 | 0.9502 | 0.7917 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
