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MeMo_BERT-SA_3
yemen2016/MeMo_BERT-SA_3
MeMo_BERT-SA_3 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 8, 2024
- Updated
- Mar 15, 2024
- SHA
- e28385ef
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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_3
This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-03 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4776
- F1-score: 0.7659
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 | 0.7872 | 0.7116 |
| 0.5803 | 2.0 | 594 | 0.9097 | 0.7575 |
| 0.5803 | 3.0 | 891 | 1.2182 | 0.7518 |
| 0.2342 | 4.0 | 1188 | 1.3653 | 0.7618 |
| 0.2342 | 5.0 | 1485 | 1.4776 | 0.7659 |
| 0.0843 | 6.0 | 1782 | 1.7107 | 0.7535 |
| 0.0179 | 7.0 | 2079 | 1.7869 | 0.7655 |
| 0.0179 | 8.0 | 2376 | 1.9367 | 0.7422 |
| 0.0106 | 9.0 | 2673 | 2.2548 | 0.7404 |
| 0.0106 | 10.0 | 2970 | 1.9947 | 0.7636 |
| 0.0078 | 11.0 | 3267 | 2.2236 | 0.7555 |
| 0.0013 | 12.0 | 3564 | 2.1156 | 0.7573 |
| 0.0013 | 13.0 | 3861 | 2.2286 | 0.7413 |
| 0.0039 | 14.0 | 4158 | 2.2651 | 0.7411 |
| 0.0039 | 15.0 | 4455 | 2.3064 | 0.7411 |
| 0.0 | 16.0 | 4752 | 2.2598 | 0.7500 |
| 0.0004 | 17.0 | 5049 | 2.1443 | 0.7529 |
| 0.0004 | 18.0 | 5346 | 2.1092 | 0.7637 |
| 0.0021 | 19.0 | 5643 | 2.3133 | 0.7619 |
| 0.0021 | 20.0 | 5940 | 2.2768 | 0.7656 |
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 8, 2024
- Updated
- Mar 15, 2024