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FLANG-ELECTRA_flang-bert
avinasht/FLANG-ELECTRA_flang-bert
FLANG-ELECTRA_flang-bert is a text classification model from avinasht. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- f42551da
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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. -->
FLANG-ELECTRA_flang-bert
This model is a fine-tuned version of SALT-NLP/FLANG-ELECTRA on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5930
- Accuracy: 0.8705
- F1: 0.8717
- Precision: 0.8772
- Recall: 0.8705
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: 0.0001
- 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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6377 | 1.0 | 181 | 0.5174 | 0.8003 | 0.7860 | 0.8080 | 0.8003 |
| 0.4035 | 2.0 | 362 | 0.4221 | 0.8580 | 0.8578 | 0.8611 | 0.8580 |
| 0.2395 | 3.0 | 543 | 0.4535 | 0.8580 | 0.8560 | 0.8592 | 0.8580 |
| 0.231 | 4.0 | 724 | 0.4335 | 0.8658 | 0.8657 | 0.8659 | 0.8658 |
| 0.3369 | 5.0 | 905 | 0.5608 | 0.8081 | 0.8057 | 0.8151 | 0.8081 |
| 0.2203 | 6.0 | 1086 | 0.5002 | 0.8705 | 0.8691 | 0.8706 | 0.8705 |
| 0.239 | 7.0 | 1267 | 0.6676 | 0.8128 | 0.8125 | 0.8338 | 0.8128 |
| 0.0938 | 8.0 | 1448 | 0.5930 | 0.8705 | 0.8717 | 0.8772 | 0.8705 |
| 0.1329 | 9.0 | 1629 | 0.5017 | 0.8580 | 0.8571 | 0.8572 | 0.8580 |
| 0.3598 | 10.0 | 1810 | 0.5126 | 0.8690 | 0.8675 | 0.8698 | 0.8690 |
| 0.1615 | 11.0 | 1991 | 0.5945 | 0.8612 | 0.8605 | 0.8606 | 0.8612 |
| 0.0923 | 12.0 | 2172 | 0.8213 | 0.8268 | 0.8292 | 0.8450 | 0.8268 |
| 0.1296 | 13.0 | 2353 | 0.8647 | 0.8580 | 0.8586 | 0.8611 | 0.8580 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024