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olid_training_better_bert_3
iTroned/olid_training_better_bert_3
olid_training_better_bert_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
- bedb5dc1
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_better_bert_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: 0.5157
- Accuracy Offensive: 0.7946
- F1 Offensive: 0.7956
- Accuracy Targeted: 0.7696
- F1 Targeted: 0.7561
- Accuracy Stance: 0.7576
- F1 Stance: 0.7418
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 | 0.5330 | 0.7991 | 0.8002 | 0.7742 | 0.7606 | 0.75 | 0.7125 |
| 0.5926 | 2.0 | 746 | 0.5188 | 0.8112 | 0.8053 | 0.7863 | 0.7637 | 0.7560 | 0.7116 |
| 0.4673 | 3.0 | 1119 | 0.5157 | 0.7946 | 0.7956 | 0.7696 | 0.7561 | 0.7576 | 0.7418 |
| 0.4673 | 4.0 | 1492 | 0.5433 | 0.8066 | 0.8034 | 0.7840 | 0.7655 | 0.7711 | 0.7571 |
| 0.4067 | 5.0 | 1865 | 0.5854 | 0.8097 | 0.8057 | 0.7878 | 0.7713 | 0.7681 | 0.7537 |
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