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olid_bootstrapped_v4
iTroned/olid_bootstrapped_v4
olid_bootstrapped_v4 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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Public
Updated Feb 21, 2025
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Feb 21, 2025
- Updated
- Feb 21, 2025
- SHA
- 4f4eea7e
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_bootstrapped_v4
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1760
- Accuracy Offensive: 0.9517
- F1 Offensive: 0.9510
- Accuracy Targeted: 0.9517
- F1 Targeted: 0.9420
- Accuracy Stance: 0.9456
- F1 Stance: 0.9379
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 | 0.3029 | 0.9381 | 0.9371 | 0.9275 | 0.9008 | 0.8852 | 0.8587 |
| 0.4254 | 2.0 | 746 | 0.1959 | 0.9532 | 0.9526 | 0.9539 | 0.9450 | 0.9388 | 0.9320 |
| 0.1808 | 3.0 | 1119 | 0.1775 | 0.9449 | 0.9446 | 0.9509 | 0.9467 | 0.9396 | 0.9334 |
| 0.1808 | 4.0 | 1492 | 0.1760 | 0.9517 | 0.9510 | 0.9517 | 0.9420 | 0.9456 | 0.9379 |
| 0.1207 | 5.0 | 1865 | 0.1998 | 0.9373 | 0.9370 | 0.9388 | 0.9346 | 0.9381 | 0.9299 |
| 0.0801 | 6.0 | 2238 | 0.2282 | 0.9320 | 0.9320 | 0.9343 | 0.9332 | 0.9381 | 0.9358 |
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 21, 2025
- Updated
- Feb 21, 2025