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olid_training_no_clean_3
iTroned/olid_training_no_clean_3
olid_training_no_clean_3 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 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
- 2e699e10
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_3
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: 0.4365
- Accuracy Offensive: 0.8565
- F1 Offensive: 0.8548
- Accuracy Targeted: 0.8338
- F1 Targeted: 0.8222
- Accuracy Stance: 0.7885
- F1 Stance: 0.7648
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 | 0.5307 | 0.7991 | 0.7998 | 0.7651 | 0.7511 | 0.7455 | 0.7000 |
| 0.5511 | 2.0 | 746 | 0.5279 | 0.8029 | 0.8012 | 0.7757 | 0.7648 | 0.7530 | 0.7305 |
| 0.4487 | 3.0 | 1119 | 0.5698 | 0.7983 | 0.7896 | 0.7689 | 0.7480 | 0.7568 | 0.7280 |
| 0.4487 | 4.0 | 1492 | 0.5597 | 0.8006 | 0.7997 | 0.7749 | 0.7673 | 0.7545 | 0.7400 |
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