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twitter-roberta-large-hate-latest-profanity-mr
callmesan/twitter-roberta-large-hate-latest-profanity-mr
twitter-roberta-large-hate-latest-profanity-mr is a text classification model from callmesan. 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
- Nov 28, 2024
- Updated
- Dec 6, 2024
- SHA
- 79c8e6b9
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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. -->
twitter-roberta-large-hate-latest-profanity-mr
This model is a fine-tuned version of cardiffnlp/twitter-roberta-large-hate-latest on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3265
- Accuracy: 0.9035
- Precision: 0.4517
- Recall: 0.5
- F1: 0.4746
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3253 | 0.9836 | 30 | 0.3848 | 0.8819 | 0.4410 | 0.5 | 0.4686 |
| 0.3423 | 2.0 | 61 | 0.3673 | 0.8819 | 0.4410 | 0.5 | 0.4686 |
| 0.3399 | 2.9836 | 91 | 0.3823 | 0.8819 | 0.4410 | 0.5 | 0.4686 |
| 0.3248 | 4.0 | 122 | 0.3630 | 0.8819 | 0.4410 | 0.5 | 0.4686 |
| 0.3 | 4.9836 | 152 | 0.3922 | 0.8819 | 0.4410 | 0.5 | 0.4686 |
| 0.3094 | 6.0 | 183 | 0.3655 | 0.8819 | 0.4410 | 0.5 | 0.4686 |
| 0.3009 | 6.9836 | 213 | 0.3835 | 0.8819 | 0.4410 | 0.5 | 0.4686 |
| 0.2442 | 8.0 | 244 | 0.4946 | 0.7904 | 0.5976 | 0.6514 | 0.6105 |
| 0.1438 | 8.9836 | 274 | 0.3878 | 0.8699 | 0.6590 | 0.5992 | 0.6179 |
| 0.1372 | 9.8361 | 300 | 0.3606 | 0.8723 | 0.6665 | 0.6006 | 0.6207 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 28, 2024
- Updated
- Dec 6, 2024