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olid_bootstrapped_v2
iTroned/olid_bootstrapped_v2
olid_bootstrapped_v2 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
- 25252c49
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_v2
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: 0.1787
- Accuracy Offensive: 0.9494
- F1 Offensive: 0.9491
- Accuracy Targeted: 0.9532
- F1 Targeted: 0.9489
- Accuracy Stance: 0.9441
- F1 Stance: 0.9369
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 | 0.3156 | 0.9335 | 0.9324 | 0.9192 | 0.8967 | 0.8610 | 0.8184 |
| 0.4285 | 2.0 | 746 | 0.2052 | 0.9539 | 0.9534 | 0.9517 | 0.9414 | 0.9358 | 0.9270 |
| 0.178 | 3.0 | 1119 | 0.1787 | 0.9494 | 0.9491 | 0.9532 | 0.9489 | 0.9441 | 0.9369 |
| 0.178 | 4.0 | 1492 | 0.1846 | 0.9479 | 0.9474 | 0.9502 | 0.9426 | 0.9471 | 0.9382 |
| 0.1128 | 5.0 | 1865 | 0.2175 | 0.9358 | 0.9356 | 0.9388 | 0.9356 | 0.9411 | 0.9316 |
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