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: 0.6686 | |
- Accuracy: 0.7583 | |
## 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: 5 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| No log | 1.0 | 42 | 0.7139 | 0.7644 | | |
| No log | 2.0 | 84 | 0.6871 | 0.7613 | | |
| No log | 3.0 | 126 | 0.6712 | 0.7613 | | |
| 0.745 | 4.0 | 168 | 0.6700 | 0.7583 | | |
| 0.745 | 5.0 | 210 | 0.6686 | 0.7583 | | |
### Framework versions | |
- Transformers 4.28.1 | |
- Pytorch 2.0.0+cu118 | |
- Datasets 2.11.0 | |
- Tokenizers 0.13.3 | |