metadata
base_model: MiMe-MeMo/MeMo-BERT-02
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-WSD-MeMo-BERT-02_last
results: []
MeMo_BERT-WSD-MeMo-BERT-02_last
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: 3.3216
- F1-score: 0.4444
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 | 1.6200 | 0.1229 |
| No log | 2.0 | 122 | 1.4272 | 0.2217 |
| No log | 3.0 | 183 | 1.4465 | 0.2220 |
| No log | 4.0 | 244 | 1.7271 | 0.2428 |
| No log | 5.0 | 305 | 1.8954 | 0.3110 |
| No log | 6.0 | 366 | 2.7308 | 0.1632 |
| No log | 7.0 | 427 | 2.3096 | 0.3502 |
| No log | 8.0 | 488 | 2.5584 | 0.4155 |
| 0.8087 | 9.0 | 549 | 3.1863 | 0.4054 |
| 0.8087 | 10.0 | 610 | 3.3216 | 0.4444 |
| 0.8087 | 11.0 | 671 | 3.3437 | 0.3938 |
| 0.8087 | 12.0 | 732 | 4.1038 | 0.3355 |
| 0.8087 | 13.0 | 793 | 4.4369 | 0.3054 |
| 0.8087 | 14.0 | 854 | 3.8867 | 0.3430 |
| 0.8087 | 15.0 | 915 | 3.9579 | 0.3430 |
| 0.8087 | 16.0 | 976 | 4.0195 | 0.3430 |
| 0.0152 | 17.0 | 1037 | 4.1380 | 0.3311 |
| 0.0152 | 18.0 | 1098 | 4.1298 | 0.3311 |
| 0.0152 | 19.0 | 1159 | 4.1499 | 0.3311 |
| 0.0152 | 20.0 | 1220 | 4.1574 | 0.3311 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2