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offensive_baseline_v3_no_hs_no_sent
iTroned/offensive_baseline_v3_no_hs_no_sent
offensive_baseline_v3_no_hs_no_sent 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.
should probably proofread and complete it, then remove this comment. --
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Updated May 14, 2025
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At a glance
- Library
- transformers
- Access
- Public
- Created
- May 14, 2025
- Updated
- May 14, 2025
- SHA
- b6bf974f
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. -->
offensive_baseline_v3_no_hs_no_sent
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6763
- Accuracy Offensive: 0.8523
- F1 Macro Offensive: 0.8163
- F1 Weighted Offensive: 0.8522
- F1 Macro Total: 0.8163
- F1 Weighted Total: 0.8522
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: 6e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy Offensive | F1 Macro Offensive | F1 Weighted Offensive | F1 Macro Total | F1 Weighted Total |
|---|---|---|---|---|---|---|---|---|
| 0.5709 | 1.0 | 3310 | 0.4660 | 0.7651 | 0.7427 | 0.7763 | 0.7427 | 0.7763 |
| 0.6504 | 2.0 | 6620 | 0.5788 | 0.8477 | 0.8133 | 0.8487 | 0.8133 | 0.8487 |
| 0.6102 | 3.0 | 9930 | 0.6763 | 0.8523 | 0.8163 | 0.8522 | 0.8163 | 0.8522 |
| 0.5296 | 4.0 | 13240 | 0.7922 | 0.8314 | 0.7991 | 0.8347 | 0.7991 | 0.8347 |
| 0.3846 | 5.0 | 16550 | 0.9687 | 0.8279 | 0.7942 | 0.8310 | 0.7942 | 0.8310 |
| 0.3259 | 6.0 | 19860 | 1.2308 | 0.8349 | 0.7964 | 0.8355 | 0.7964 | 0.8355 |
| 0.239 | 7.0 | 23170 | 1.3950 | 0.8244 | 0.7827 | 0.8248 | 0.7827 | 0.8248 |
| 0.1618 | 8.0 | 26480 | 1.5150 | 0.8314 | 0.7908 | 0.8315 | 0.7908 | 0.8315 |
Framework versions
- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.0.1
- Tokenizers 0.21.1
- Library
- transformers
- Created
- May 14, 2025
- Updated
- May 14, 2025