Downloads · 30 days
8
2% of all-time downloads
english-abusive-MuRIL-finetuned
fahad1247/english-abusive-MuRIL-finetuned
english-abusive-MuRIL-finetuned is a text classification model from fahad1247. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as afl-3.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
391
Public
Repo size
1.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin950 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- afl-3.0
- Model type
- bert
- Access
- Public
- Created
- Dec 2, 2022
- Updated
- Dec 2, 2022
- SHA
- 5736cc0e
Try a prompt
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. -->
english-abusive-MuRIL-finetuned
This model is a fine-tuned version of Hate-speech-CNERG/english-abusive-MuRIL on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6601
- Accuracy: 0.7921
- F1: 0.8423
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4573 | 1.0 | 1548 | 0.5062 | 0.7956 | 0.8478 |
| 0.398 | 2.0 | 3096 | 0.5229 | 0.7886 | 0.8381 |
| 0.3477 | 3.0 | 4644 | 0.6601 | 0.7921 | 0.8423 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- afl-3.0
- Created
- Dec 2, 2022
- Updated
- Dec 2, 2022