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Homophobia-Transphobia-v2-mBERT-EDA
vitthalbhandari/Homophobia-Transphobia-v2-mBERT-EDA
Homophobia-Transphobia-v2-mBERT-EDA is a text classification model from vitthalbhandari. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 15, 2022
- Updated
- Mar 15, 2022
- SHA
- 217eec3a
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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. -->
Homophobia-Transphobia-v2-mBERT-EDA
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5401
- Accuracy: 0.9317
- F1: 0.4498
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1699 | 1.0 | 189 | 0.4125 | 0.9229 | 0.4634 |
| 0.0387 | 2.0 | 378 | 0.4658 | 0.9229 | 0.3689 |
| 0.0148 | 3.0 | 567 | 0.5250 | 0.9355 | 0.4376 |
| 0.0005 | 4.0 | 756 | 0.5336 | 0.9317 | 0.4531 |
| 0.0016 | 5.0 | 945 | 0.5401 | 0.9317 | 0.4498 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.4
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 15, 2022
- Updated
- Mar 15, 2022