| | --- |
| | license: mit |
| | base_model: FacebookAI/roberta-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - accuracy |
| | - precision |
| | - recall |
| | model-index: |
| | - name: RoBERTa_Hatespeech_Classifier |
| | 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_Hatespeech_Classifier |
| |
|
| | This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2496 |
| | - F1: 0.9405 |
| | - Accuracy: 0.9570 |
| | - Precision: 0.9430 |
| | - Recall: 0.9379 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 8 |
| | - seed: 100 |
| | - 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 | F1 | Accuracy | Precision | Recall | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:| |
| | | 0.2219 | 1.0 | 5084 | 0.2074 | 0.8884 | 0.9181 | 0.8762 | 0.9010 | |
| | | 0.1731 | 2.0 | 10168 | 0.2263 | 0.9211 | 0.9429 | 0.9201 | 0.9222 | |
| | | 0.125 | 3.0 | 15252 | 0.2425 | 0.9360 | 0.9539 | 0.9396 | 0.9325 | |
| | | 0.076 | 4.0 | 20336 | 0.2556 | 0.9401 | 0.9568 | 0.9438 | 0.9364 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
