metadata
base_model: klue/roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-finetuned-hate_speech-best
results: []
roberta-base-finetuned-hate_speech-best
This model is a fine-tuned version of klue/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9992
- F1: 0.6290
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: 2.237588569580688e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 39
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.903 | 1.0 | 691 | 0.7957 | 0.6028 |
| 0.7236 | 2.0 | 1382 | 0.7965 | 0.6316 |
| 0.4621 | 3.0 | 2073 | 0.9992 | 0.6290 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2