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---
library_name: peft
tags:
- generated_from_trainer
base_model: GroNLP/hateBERT
metrics:
- accuracy
model-index:
- name: trainer
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. -->
# trainer
This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5228
- Accuracy: {'accuracy': 0.7989466452942523}
## 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: 0.001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|
| 0.4295 | 1.0 | 2217 | 0.6655 | {'accuracy': 0.7348294023356996} |
| 0.3365 | 2.0 | 4434 | 0.5471 | {'accuracy': 0.7874971376230822} |
| 0.2882 | 3.0 | 6651 | 0.5133 | {'accuracy': 0.8014655369819098} |
| 0.2574 | 4.0 | 8868 | 0.5228 | {'accuracy': 0.7989466452942523} |
### Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |