Downloads · 30 days
5
24% of all-time downloads
distilbert-hatexplain
uboza10300/distilbert-hatexplain
distilbert-hatexplain is a text classification model from uboza10300. Use it when you need a label for a piece of text. 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. --
All-time downloads
21
Public
Parameters
67M
804 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 0ca1256b
Try a prompt
Base models
Datasets
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. -->
distilbert-hatexplain
This model is a fine-tuned version of distilbert-base-uncased on the hatexplain dataset. It achieves the following results on the evaluation set:
- Loss: 0.8165
- Accuracy: 0.6991
- Precision: 0.6975
- Recall: 0.6991
- F1: 0.6979
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6131 | 1.0 | 1923 | 0.7399 | 0.6925 | 0.6877 | 0.6925 | 0.6847 |
| 0.7386 | 2.0 | 3846 | 0.7254 | 0.7040 | 0.7033 | 0.7040 | 0.7036 |
| 0.6471 | 3.0 | 5769 | 0.8259 | 0.7019 | 0.6995 | 0.7019 | 0.7005 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024