metadata
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-DE
results: []
classification-hate-speech-DE
This model is a fine-tuned version of indolem/indobertweet-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6475
- F1 macro: 0.3742
- Weighted: 0.5772
- Balanced accuracy: 0.4995
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: 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: 11
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|---|---|---|---|---|---|---|
| 1.3987 | 1.0 | 152 | 1.1932 | 0.3716 | 0.6024 | 0.4578 |
| 0.8176 | 2.0 | 304 | 1.1670 | 0.4016 | 0.6136 | 0.4964 |
| 0.6289 | 3.0 | 456 | 1.2036 | 0.4099 | 0.6391 | 0.5131 |
| 0.1606 | 4.0 | 608 | 1.7535 | 0.3725 | 0.5728 | 0.5006 |
| 0.0285 | 5.0 | 760 | 1.8911 | 0.4152 | 0.6312 | 0.5199 |
| 0.0693 | 6.0 | 912 | 2.1700 | 0.4018 | 0.6026 | 0.5087 |
| 0.0047 | 7.0 | 1064 | 2.2234 | 0.3929 | 0.6128 | 0.5061 |
| 0.0032 | 8.0 | 1216 | 2.5087 | 0.3759 | 0.5816 | 0.4993 |
| 0.0025 | 9.0 | 1368 | 2.7507 | 0.3823 | 0.5547 | 0.5173 |
| 0.0016 | 10.0 | 1520 | 2.6432 | 0.3758 | 0.5808 | 0.5002 |
| 0.0012 | 11.0 | 1672 | 2.6475 | 0.3742 | 0.5772 | 0.4995 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1