metadata
license: cc-by-4.0
base_model: Maltehb/danish-bert-botxo
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_params2
results: []
model_params2
This model is a fine-tuned version of Maltehb/danish-bert-botxo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0009
- Accuracy: 0.6609
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 151 | 0.9953 | 0.6476 |
| No log | 2.0 | 302 | 1.0009 | 0.6609 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1