| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - tweets_hate_speech_detection |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: FirstTry |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: tweets_hate_speech_detection |
| type: tweets_hate_speech_detection |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9821679962458939 |
| - name: F1 |
| type: f1 |
| value: 0.8692660550458716 |
| --- |
| |
| <!-- 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. --> |
|
|
| # FirstTry |
|
|
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the tweets_hate_speech_detection dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0847 |
| - Accuracy: 0.9822 |
| - F1: 0.8693 |
| |
| ## 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: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 15 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.1159 | 1.0 | 1599 | 0.1019 | 0.9759 | 0.8270 | |
| | 0.0727 | 2.0 | 3198 | 0.0965 | 0.9795 | 0.8424 | |
| | 0.044 | 3.0 | 4797 | 0.0847 | 0.9822 | 0.8693 | |
| | 0.0301 | 4.0 | 6396 | 0.1121 | 0.9811 | 0.8660 | |
| | 0.0206 | 5.0 | 7995 | 0.1718 | 0.9700 | 0.8110 | |
| | 0.0176 | 6.0 | 9594 | 0.1453 | 0.9811 | 0.8591 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.1 |
| - Pytorch 2.0.1 |
| - Datasets 2.10.1 |
| - Tokenizers 0.13.3 |
| |
