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---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-DE-7epoch-idblp2
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. -->
# classification-hate-speech-DE-7epoch-idblp2
This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4500
- F1 macro: 0.3864
- Weighted: 0.5746
- Balanced accuracy: 0.5221
## 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: 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: 14
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.5725 | 1.0 | 38 | 1.3996 | 0.3389 | 0.4577 | 0.4681 |
| 1.0621 | 2.0 | 76 | 1.3070 | 0.3838 | 0.5860 | 0.4956 |
| 0.6859 | 3.0 | 114 | 1.2224 | 0.3973 | 0.6523 | 0.5086 |
| 0.3201 | 4.0 | 152 | 1.6724 | 0.3774 | 0.5827 | 0.5124 |
| 0.174 | 5.0 | 190 | 1.5607 | 0.4048 | 0.6200 | 0.5299 |
| 0.0721 | 6.0 | 228 | 1.6479 | 0.3935 | 0.6215 | 0.5118 |
| 0.0459 | 7.0 | 266 | 2.3813 | 0.3669 | 0.5297 | 0.5219 |
| 0.0164 | 8.0 | 304 | 2.2315 | 0.3857 | 0.5657 | 0.5242 |
| 0.0062 | 9.0 | 342 | 2.1938 | 0.3899 | 0.5802 | 0.5288 |
| 0.0074 | 10.0 | 380 | 2.4419 | 0.3825 | 0.5629 | 0.5217 |
| 0.004 | 11.0 | 418 | 2.3171 | 0.3897 | 0.5812 | 0.5233 |
| 0.0031 | 12.0 | 456 | 2.3685 | 0.3873 | 0.5760 | 0.5223 |
| 0.0032 | 13.0 | 494 | 2.4116 | 0.3890 | 0.5753 | 0.5238 |
| 0.0039 | 14.0 | 532 | 2.4500 | 0.3864 | 0.5746 | 0.5221 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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