Downloads · 30 days
0
olid_bootstrap_expanded_v1
iTroned/olid_bootstrap_expanded_v1
olid_bootstrap_expanded_v1 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. --
Access
Public
Updated Feb 22, 2025
Parameters
110M
19 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors441 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Feb 21, 2025
- Updated
- Feb 22, 2025
- SHA
- 127fead1
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_bootstrap_expanded_v1
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: 0.1649
- Accuracy Offensive: 0.9532
- F1 Offensive: 0.9523
- Accuracy Targeted: 0.9509
- F1 Targeted: 0.9354
- Accuracy Stance: 0.9441
- F1 Stance: 0.9359
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 | 0.2569 | 0.9502 | 0.9490 | 0.9418 | 0.9150 | 0.8943 | 0.8572 |
| 0.4641 | 2.0 | 746 | 0.1649 | 0.9532 | 0.9523 | 0.9509 | 0.9354 | 0.9441 | 0.9359 |
| 0.1542 | 3.0 | 1119 | 0.1649 | 0.9464 | 0.9462 | 0.9471 | 0.9454 | 0.9486 | 0.9416 |
| 0.1542 | 4.0 | 1492 | 0.1720 | 0.9517 | 0.9510 | 0.9502 | 0.9421 | 0.9441 | 0.9366 |
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 22, 2025