File size: 2,527 Bytes
2a5319e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_DanskBERT
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. -->
# MeMo_BERT-SA_DanskBERT
This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co./vesteinn/DanskBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8561
- F1-score: 0.8037
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 265 | 0.7133 | 0.7595 |
| 0.7319 | 2.0 | 530 | 0.7466 | 0.7937 |
| 0.7319 | 3.0 | 795 | 0.7983 | 0.7609 |
| 0.3709 | 4.0 | 1060 | 1.0861 | 0.7859 |
| 0.3709 | 5.0 | 1325 | 1.3603 | 0.7637 |
| 0.1632 | 6.0 | 1590 | 1.3124 | 0.7835 |
| 0.1632 | 7.0 | 1855 | 1.6351 | 0.7432 |
| 0.0846 | 8.0 | 2120 | 1.4934 | 0.7842 |
| 0.0846 | 9.0 | 2385 | 1.5827 | 0.7891 |
| 0.0438 | 10.0 | 2650 | 1.8168 | 0.7695 |
| 0.0438 | 11.0 | 2915 | 1.7212 | 0.7837 |
| 0.0149 | 12.0 | 3180 | 1.7602 | 0.7906 |
| 0.0149 | 13.0 | 3445 | 1.8375 | 0.7869 |
| 0.0152 | 14.0 | 3710 | 1.9152 | 0.7768 |
| 0.0152 | 15.0 | 3975 | 1.9085 | 0.7918 |
| 0.0049 | 16.0 | 4240 | 1.9808 | 0.7835 |
| 0.0094 | 17.0 | 4505 | 1.8629 | 0.8016 |
| 0.0094 | 18.0 | 4770 | 1.8561 | 0.8037 |
| 0.0027 | 19.0 | 5035 | 1.9061 | 0.7939 |
| 0.0027 | 20.0 | 5300 | 1.9370 | 0.7898 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|