---
license: llama3.2
datasets:
- trollek/Danoia-v03
- trollek/Danoia-v02
- trollek/ProbingPanoia-v01
language:
- da
base_model:
- huihui-ai/Llama-3.2-3B-Instruct-abliterated
library_name: transformers
---
# Llama-3.2-3B-Danoia

Der er ikke meget at sige andet end at den kan dansk. 

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 222
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0895        | 0.2103 | 500  | 1.0488          |
| 1.0893        | 0.4205 | 1000 | 0.9952          |
| 0.864         | 0.6308 | 1500 | 0.9645          |
| 0.9665        | 0.8411 | 2000 | 0.9406          |
| 0.9387        | 1.0514 | 2500 | 0.9242          |
| 0.7996        | 1.2617 | 3000 | 0.9126          |
| 0.7904        | 1.4720 | 3500 | 0.9005          |
| 0.9745        | 1.6822 | 4000 | 0.8926          |
| 1.0152        | 1.8925 | 4500 | 0.8859          |
| 0.7676        | 2.1028 | 5000 | 0.8821          |
| 0.8127        | 2.3131 | 5500 | 0.8791          |
| 0.9498        | 2.5234 | 6000 | 0.8770          |
| 0.795         | 2.7336 | 6500 | 0.8758          |
| 0.8029        | 2.9439 | 7000 | 0.8758          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.46.1
- Pytorch 2.5.1
- Datasets 2.20.0
- Tokenizers 0.20.3