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MeMo_BERT-WSD-DanBERT
yemen2016/MeMo_BERT-WSD-DanBERT
MeMo_BERT-WSD-DanBERT 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. 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
- bert
- Access
- Public
- Created
- Mar 19, 2024
- Updated
- Mar 19, 2024
- SHA
- 7368abfb
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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-DanBERT
This model is a fine-tuned version of alexanderfalk/danbert-small-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1673
- F1-score: 0.3866
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 | 1.5325 | 0.1229 |
| No log | 2.0 | 122 | 1.5469 | 0.1229 |
| No log | 3.0 | 183 | 1.5848 | 0.1916 |
| No log | 4.0 | 244 | 1.7138 | 0.2595 |
| No log | 5.0 | 305 | 2.5576 | 0.1820 |
| No log | 6.0 | 366 | 2.5028 | 0.3250 |
| No log | 7.0 | 427 | 2.8110 | 0.2125 |
| No log | 8.0 | 488 | 3.2862 | 0.3449 |
| 0.7249 | 9.0 | 549 | 3.1673 | 0.3866 |
| 0.7249 | 10.0 | 610 | 4.1707 | 0.2961 |
| 0.7249 | 11.0 | 671 | 4.2567 | 0.3072 |
| 0.7249 | 12.0 | 732 | 4.0008 | 0.3608 |
| 0.7249 | 13.0 | 793 | 4.0726 | 0.3239 |
| 0.7249 | 14.0 | 854 | 4.2054 | 0.3091 |
| 0.7249 | 15.0 | 915 | 4.2703 | 0.3107 |
| 0.7249 | 16.0 | 976 | 4.2723 | 0.3014 |
| 0.0021 | 17.0 | 1037 | 4.2581 | 0.3014 |
| 0.0021 | 18.0 | 1098 | 4.2739 | 0.3014 |
| 0.0021 | 19.0 | 1159 | 4.2988 | 0.3014 |
| 0.0021 | 20.0 | 1220 | 4.3953 | 0.3107 |
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
- bert
- License
- apache-2.0
- Created
- Mar 19, 2024
- Updated
- Mar 19, 2024