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olid_training_no_clean_5
iTroned/olid_training_no_clean_5
olid_training_no_clean_5 is a machine learning model from iTroned. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Feb 13, 2025
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Feb 13, 2025
- Updated
- Feb 13, 2025
- SHA
- a9909d19
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. -->
olid_training_no_clean_5
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5528
- Accuracy Offensive: 0.7931
- F1 Offensive: 0.7895
- Accuracy Targeted: 0.7666
- F1 Targeted: 0.7513
- Accuracy Stance: 0.7402
- F1 Stance: 0.7112
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy Offensive | F1 Offensive | Accuracy Targeted | F1 Targeted | Accuracy Stance | F1 Stance |
|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 373 | 0.5642 | 0.7802 | 0.7682 | 0.7568 | 0.7292 | 0.7198 | 0.6582 |
| 0.564 | 2.0 | 746 | 0.5802 | 0.7863 | 0.7746 | 0.7674 | 0.7427 | 0.7349 | 0.6936 |
| 0.4524 | 3.0 | 1119 | 0.5528 | 0.7931 | 0.7895 | 0.7666 | 0.7513 | 0.7402 | 0.7112 |
| 0.4524 | 4.0 | 1492 | 0.6042 | 0.7847 | 0.7823 | 0.7621 | 0.7502 | 0.7281 | 0.7102 |
| 0.3855 | 5.0 | 1865 | 0.6313 | 0.7847 | 0.7799 | 0.7621 | 0.7475 | 0.7281 | 0.7057 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- License
- apache-2.0
- Created
- Feb 13, 2025
- Updated
- Feb 13, 2025