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license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-4
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-4
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: 2.3401
- F1 macro: 0.4271
- Weighted: 0.5984
- Balanced accuracy: 0.5716
## 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: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.2531 | 1.0 | 152 | 1.0752 | 0.3830 | 0.6537 | 0.4508 |
| 0.8066 | 2.0 | 304 | 1.1219 | 0.3948 | 0.6504 | 0.4784 |
| 0.2886 | 3.0 | 456 | 1.7797 | 0.3590 | 0.5719 | 0.4879 |
| 0.0446 | 4.0 | 608 | 2.0984 | 0.4186 | 0.5843 | 0.5796 |
| 0.0564 | 5.0 | 760 | 2.4550 | 0.4082 | 0.5537 | 0.5473 |
| 0.0123 | 6.0 | 912 | 2.2256 | 0.4187 | 0.6068 | 0.5640 |
| 0.0035 | 7.0 | 1064 | 2.3401 | 0.4271 | 0.5984 | 0.5716 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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