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MeMo-BERT-WSD_before_last
yemen2016/MeMo-BERT-WSD_before_last
MeMo-BERT-WSD_before_last 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 19, 2024
- Updated
- Mar 20, 2024
- SHA
- e10d213b
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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-WSD-03
This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-03 on https://huggingface.co/MiMe-MeMo/MeMo-Dataset-WSD dataset. It achieves the following results on the evaluation set:
- Loss: 2.7403
- F1-score: 0.5317
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 | 61 | 1.5313 | 0.2765 |
| No log | 2.0 | 122 | 1.1618 | 0.3798 |
| No log | 3.0 | 183 | 1.1259 | 0.4814 |
| No log | 4.0 | 244 | 1.3069 | 0.4656 |
| No log | 5.0 | 305 | 1.9109 | 0.4598 |
| No log | 6.0 | 366 | 2.0905 | 0.4766 |
| No log | 7.0 | 427 | 2.3842 | 0.4609 |
| No log | 8.0 | 488 | 2.7403 | 0.5317 |
| 0.5392 | 9.0 | 549 | 2.6113 | 0.4633 |
| 0.5392 | 10.0 | 610 | 3.0131 | 0.5016 |
| 0.5392 | 11.0 | 671 | 2.8423 | 0.5196 |
| 0.5392 | 12.0 | 732 | 2.9776 | 0.4876 |
| 0.5392 | 13.0 | 793 | 2.9717 | 0.4881 |
| 0.5392 | 14.0 | 854 | 2.9801 | 0.4887 |
| 0.5392 | 15.0 | 915 | 3.0105 | 0.4669 |
| 0.5392 | 16.0 | 976 | 3.0355 | 0.4887 |
| 0.0089 | 17.0 | 1037 | 3.0591 | 0.4887 |
| 0.0089 | 18.0 | 1098 | 3.0704 | 0.4887 |
| 0.0089 | 19.0 | 1159 | 3.0760 | 0.5012 |
| 0.0089 | 20.0 | 1220 | 3.0780 | 0.5012 |
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
- Languages
- da
- Created
- Mar 19, 2024
- Updated
- Mar 20, 2024