metadata
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: da-sentiment
results: []
da-sentiment
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: 0.4775
- Accuracy: 0.8953
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: 3e-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 | 67 | 0.3141 | 0.8860 |
| No log | 2.0 | 134 | 0.2740 | 0.9028 |
| No log | 3.0 | 201 | 0.3657 | 0.8879 |
| No log | 4.0 | 268 | 0.3695 | 0.8897 |
| No log | 5.0 | 335 | 0.3790 | 0.9084 |
| No log | 6.0 | 402 | 0.4559 | 0.8897 |
| No log | 7.0 | 469 | 0.4622 | 0.8935 |
| 0.159 | 8.0 | 536 | 0.4491 | 0.8991 |
| 0.159 | 9.0 | 603 | 0.4880 | 0.8916 |
| 0.159 | 10.0 | 670 | 0.4775 | 0.8953 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2