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FLANG-ELECTRA_bert-base-uncased
avinasht/FLANG-ELECTRA_bert-base-uncased
FLANG-ELECTRA_bert-base-uncased 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
- 7985f6fc
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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. -->
FLANG-ELECTRA_bert-base-uncased
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: 0.4748
- Accuracy: 0.8705
- F1: 0.8705
- Precision: 0.8705
- 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 |
|---|---|---|---|---|---|---|---|
| 0.6775 | 1.0 | 181 | 0.5462 | 0.7972 | 0.7894 | 0.7973 | 0.7972 |
| 0.4966 | 2.0 | 362 | 0.3989 | 0.8612 | 0.8612 | 0.8633 | 0.8612 |
| 0.2509 | 3.0 | 543 | 0.3791 | 0.8612 | 0.8620 | 0.8645 | 0.8612 |
| 0.2241 | 4.0 | 724 | 0.5297 | 0.8471 | 0.8471 | 0.8501 | 0.8471 |
| 0.2248 | 5.0 | 905 | 0.4748 | 0.8705 | 0.8705 | 0.8705 | 0.8705 |
| 1.1108 | 6.0 | 1086 | 1.1042 | 0.3245 | 0.1590 | 0.1053 | 0.3245 |
| 1.1122 | 7.0 | 1267 | 1.1028 | 0.3245 | 0.1590 | 0.1053 | 0.3245 |
| 1.102 | 8.0 | 1448 | 1.0987 | 0.3510 | 0.1824 | 0.1232 | 0.3510 |
| 1.1015 | 9.0 | 1629 | 1.1069 | 0.3245 | 0.1590 | 0.1053 | 0.3245 |
| 1.0908 | 10.0 | 1810 | 1.1022 | 0.3510 | 0.1824 | 0.1232 | 0.3510 |
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