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electra-base-discriminator-finetuned-detests
Pablo94/electra-base-discriminator-finetuned-detests
electra-base-discriminator-finetuned-detests is a text classification model from Pablo94. 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
- electra
- Access
- Public
- Created
- Sep 13, 2023
- Updated
- Sep 13, 2023
- SHA
- 84350a9e
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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. -->
electra-base-discriminator-finetuned-detests
This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1215
- Accuracy: 0.7807
- F1-score: 0.7308
- Precision: 0.7162
- Recall: 0.7768
- Auc: 0.7768
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc |
|---|---|---|---|---|---|---|---|---|
| 0.3236 | 1.0 | 174 | 0.4661 | 0.7610 | 0.6684 | 0.6647 | 0.6728 | 0.6728 |
| 0.3239 | 2.0 | 348 | 0.4287 | 0.7987 | 0.7144 | 0.7138 | 0.7149 | 0.7149 |
| 0.3421 | 3.0 | 522 | 0.5586 | 0.7741 | 0.7292 | 0.7163 | 0.7853 | 0.7853 |
| 0.2288 | 4.0 | 696 | 0.6229 | 0.7807 | 0.7308 | 0.7162 | 0.7768 | 0.7768 |
| 0.1888 | 5.0 | 870 | 0.6629 | 0.7954 | 0.7293 | 0.7173 | 0.7483 | 0.7483 |
| 0.2205 | 6.0 | 1044 | 0.8462 | 0.8036 | 0.7349 | 0.7251 | 0.7485 | 0.7485 |
| 0.1512 | 7.0 | 1218 | 0.8362 | 0.8151 | 0.7335 | 0.7367 | 0.7306 | 0.7306 |
| 0.2345 | 8.0 | 1392 | 1.0372 | 0.7758 | 0.7204 | 0.7063 | 0.7584 | 0.7584 |
| 0.0592 | 9.0 | 1566 | 1.0396 | 0.7840 | 0.7291 | 0.7142 | 0.7663 | 0.7663 |
| 0.0381 | 10.0 | 1740 | 1.1215 | 0.7807 | 0.7308 | 0.7162 | 0.7768 | 0.7768 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Created
- Sep 13, 2023
- Updated
- Sep 13, 2023