---
license: apache-2.0
base_model: alexanderfalk/danbert-small-cased
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_danbert
  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. -->

# MeMo_BERT-SA_danbert

This model is a fine-tuned version of [alexanderfalk/danbert-small-cased](https://huggingface.co/alexanderfalk/danbert-small-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4690
- F1-score: 0.6544

## 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   | 297  | 1.0065          | 0.5054   |
| 0.8685        | 2.0   | 594  | 1.0551          | 0.5964   |
| 0.8685        | 3.0   | 891  | 1.3189          | 0.5761   |
| 0.3832        | 4.0   | 1188 | 2.0270          | 0.6322   |
| 0.3832        | 5.0   | 1485 | 2.1568          | 0.6076   |
| 0.1519        | 6.0   | 1782 | 3.3066          | 0.5763   |
| 0.0403        | 7.0   | 2079 | 3.1085          | 0.6049   |
| 0.0403        | 8.0   | 2376 | 3.1069          | 0.6269   |
| 0.009         | 9.0   | 2673 | 3.2610          | 0.6213   |
| 0.009         | 10.0  | 2970 | 3.3529          | 0.6355   |
| 0.0123        | 11.0  | 3267 | 3.4172          | 0.6306   |
| 0.0089        | 12.0  | 3564 | 3.4950          | 0.6187   |
| 0.0089        | 13.0  | 3861 | 3.7618          | 0.6117   |
| 0.0053        | 14.0  | 4158 | 3.5352          | 0.6252   |
| 0.0053        | 15.0  | 4455 | 3.7667          | 0.6120   |
| 0.0047        | 16.0  | 4752 | 3.4690          | 0.6544   |
| 0.0059        | 17.0  | 5049 | 3.6646          | 0.6256   |
| 0.0059        | 18.0  | 5346 | 3.6611          | 0.6319   |
| 0.0018        | 19.0  | 5643 | 3.7555          | 0.6423   |
| 0.0018        | 20.0  | 5940 | 3.7564          | 0.6422   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2