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roberta-base-hoeken2024hateful-original
ysenarath/roberta-base-hoeken2024hateful-original
roberta-base-hoeken2024hateful-original is a text classification model from ysenarath. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Mar 18, 2025
- Updated
- Mar 18, 2025
- SHA
- dc2ea5b2
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Base models
Model card
From the Hugging Face model README
<!-- 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-hoeken2024hateful-original
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5518
- Accuracy: 0.7760
- Roc Auc: 0.8520
- Precision: 0.8142
- Recall: 0.8011
- F1: 0.8076
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: 96
- eval_batch_size: 128
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 24 | 0.6602 | 0.5868 | 0.7472 | 0.5868 | 1.0 | 0.7396 |
| No log | 2.0 | 48 | 0.5338 | 0.7539 | 0.8092 | 0.7411 | 0.8925 | 0.8098 |
| No log | 3.0 | 72 | 0.4966 | 0.7539 | 0.8420 | 0.7755 | 0.8172 | 0.7958 |
| No log | 4.0 | 96 | 0.5432 | 0.7760 | 0.8433 | 0.8402 | 0.7634 | 0.8 |
| No log | 5.0 | 120 | 0.5518 | 0.7760 | 0.8520 | 0.8142 | 0.8011 | 0.8076 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 18, 2025
- Updated
- Mar 18, 2025