---
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: Maltehb/danish-bert-botxo
model-index:
- name: da-sentiment
  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. -->

# da-sentiment

This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4976
- Accuracy: 0.8377

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 58   | 0.6168          | 0.7446   |
| No log        | 2.0   | 116  | 0.5689          | 0.7554   |
| 0.4255        | 3.0   | 174  | 0.5542          | 0.7814   |
| 0.4255        | 4.0   | 232  | 0.5224          | 0.7944   |
| 0.2655        | 5.0   | 290  | 0.5172          | 0.8030   |
| 0.2655        | 6.0   | 348  | 0.4992          | 0.8182   |
| 0.1944        | 7.0   | 406  | 0.4852          | 0.8290   |
| 0.1944        | 8.0   | 464  | 0.4972          | 0.8312   |
| 0.1772        | 9.0   | 522  | 0.4905          | 0.8333   |
| 0.1772        | 10.0  | 580  | 0.4915          | 0.8290   |
| 0.1772        | 11.0  | 638  | 0.4936          | 0.8333   |
| 0.1654        | 12.0  | 696  | 0.4939          | 0.8333   |
| 0.1654        | 13.0  | 754  | 0.4944          | 0.8377   |
| 0.1605        | 14.0  | 812  | 0.4969          | 0.8355   |
| 0.1605        | 15.0  | 870  | 0.4976          | 0.8377   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3