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MeMo_BERT-SA_2
yemen2016/MeMo_BERT-SA_2
MeMo_BERT-SA_2 is a text classification model from yemen2016. 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
- xlm-roberta
- Access
- Public
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024
- SHA
- 07052a95
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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. -->
MeMo_BERT-SA_2
This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-02 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6537
- F1-score: 0.5806
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: 5e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 297 | 0.9994 | 0.4947 |
| 0.9854 | 2.0 | 594 | 1.0281 | 0.5454 |
| 0.9854 | 3.0 | 891 | 1.1639 | 0.5563 |
| 0.6507 | 4.0 | 1188 | 1.6537 | 0.5806 |
| 0.6507 | 5.0 | 1485 | 1.7769 | 0.5688 |
| 0.404 | 6.0 | 1782 | 2.2283 | 0.5678 |
| 0.1759 | 7.0 | 2079 | 2.7271 | 0.5659 |
| 0.1759 | 8.0 | 2376 | 3.2521 | 0.5701 |
| 0.0906 | 9.0 | 2673 | 3.2777 | 0.5655 |
| 0.0906 | 10.0 | 2970 | 3.3451 | 0.5696 |
| 0.0717 | 11.0 | 3267 | 3.7121 | 0.5610 |
| 0.0299 | 12.0 | 3564 | 3.8619 | 0.5420 |
| 0.0299 | 13.0 | 3861 | 3.9670 | 0.5654 |
| 0.02 | 14.0 | 4158 | 4.2349 | 0.5409 |
| 0.02 | 15.0 | 4455 | 4.2491 | 0.5549 |
| 0.0074 | 16.0 | 4752 | 4.4144 | 0.5467 |
| 0.006 | 17.0 | 5049 | 4.3564 | 0.5663 |
| 0.006 | 18.0 | 5346 | 4.5443 | 0.5616 |
| 0.004 | 19.0 | 5643 | 4.5436 | 0.5424 |
| 0.004 | 20.0 | 5940 | 4.5248 | 0.5582 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024