---
license: apache-2.0
base_model: ltg/norbert3-large
tags:
- generated_from_trainer
model-index:
- name: NorBERT3-Large_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. -->

# NorBERT3-Large_FGN

This model is a fine-tuned version of [ltg/norbert3-large](https://huggingface.co/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