|
--- |
|
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 |
|
|
