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olid_training_clean_test
iTroned/olid_training_clean_test
olid_training_clean_test 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
- d250114a
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_clean_test
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: 0.5060
- Accuracy Offensive: 0.8066
- F1 Offensive: 0.8080
- Accuracy Targeted: 0.7825
- F1 Targeted: 0.7747
- Accuracy Stance: 0.7689
- F1 Stance: 0.7529
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 | 0.5100 | 0.7923 | 0.7938 | 0.7689 | 0.7586 | 0.7583 | 0.7225 |
| 0.5761 | 2.0 | 746 | 0.5060 | 0.8066 | 0.8080 | 0.7825 | 0.7747 | 0.7689 | 0.7529 |
| 0.4619 | 3.0 | 1119 | 0.5189 | 0.8044 | 0.8057 | 0.7772 | 0.7683 | 0.7674 | 0.7531 |
| 0.4619 | 4.0 | 1492 | 0.5358 | 0.8006 | 0.7988 | 0.7825 | 0.7710 | 0.7734 | 0.7531 |
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