MeMo-BERT-WSD
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: 3.1503
- F1-score: 0.5541
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 | 1.3445 | 0.2569 |
| No log | 2.0 | 122 | 1.0424 | 0.5124 |
| No log | 3.0 | 183 | 1.1609 | 0.5304 |
| No log | 4.0 | 244 | 1.3851 | 0.5389 |
| No log | 5.0 | 305 | 1.9822 | 0.4456 |
| No log | 6.0 | 366 | 2.0347 | 0.4914 |
| No log | 7.0 | 427 | 2.9891 | 0.4419 |
| No log | 8.0 | 488 | 2.5316 | 0.5183 |
| 0.4858 | 9.0 | 549 | 2.5900 | 0.5419 |
| 0.4858 | 10.0 | 610 | 2.9300 | 0.5051 |
| 0.4858 | 11.0 | 671 | 3.0018 | 0.5211 |
| 0.4858 | 12.0 | 732 | 3.0486 | 0.5109 |
| 0.4858 | 13.0 | 793 | 3.0887 | 0.5337 |
| 0.4858 | 14.0 | 854 | 3.1180 | 0.5441 |
| 0.4858 | 15.0 | 915 | 3.1503 | 0.5541 |
| 0.4858 | 16.0 | 976 | 3.1649 | 0.5436 |
| 0.0041 | 17.0 | 1037 | 3.1925 | 0.5436 |
| 0.0041 | 18.0 | 1098 | 3.2019 | 0.5436 |
| 0.0041 | 19.0 | 1159 | 3.2089 | 0.5436 |
| 0.0041 | 20.0 | 1220 | 3.2116 | 0.5436 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
MiMe-MeMo/MeMo-BERT-03