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---
base_model: klue/roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-finetuned-hate_speech
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. -->
# roberta-base-finetuned-hate_speech
This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8142
- F1: 0.6357
## 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: 2e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 44 | 0.8284 | 0.5900 |
| No log | 2.0 | 88 | 0.7911 | 0.6091 |
| No log | 3.0 | 132 | 0.7954 | 0.6231 |
| No log | 4.0 | 176 | 0.8142 | 0.6357 |
| No log | 5.0 | 220 | 0.8523 | 0.6227 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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