---
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
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: 1.4956
- Accuracy: 0.6737

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 42   | 1.3370          | 0.6707   |
| No log        | 2.0   | 84   | 1.4095          | 0.6798   |
| No log        | 3.0   | 126  | 1.4965          | 0.6707   |
| 0.077         | 4.0   | 168  | 1.4925          | 0.6798   |
| 0.077         | 5.0   | 210  | 1.4526          | 0.6647   |
| 0.077         | 6.0   | 252  | 1.4712          | 0.6737   |
| 0.0593        | 7.0   | 294  | 1.4944          | 0.6707   |
| 0.0593        | 8.0   | 336  | 1.4980          | 0.6677   |
| 0.0593        | 9.0   | 378  | 1.4897          | 0.6707   |
| 0.0646        | 10.0  | 420  | 1.4956          | 0.6737   |


### Framework versions

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