metadata
base_model: MiMe-MeMo/MeMo-BERT-01
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_1
results: []
MeMo_BERT-SA_1
This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-01 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1432
- F1-score: 0.5216
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 | 1.0214 | 0.4174 |
| 1.0021 | 2.0 | 594 | 1.0031 | 0.4947 |
| 1.0021 | 3.0 | 891 | 1.1432 | 0.5216 |
| 0.7732 | 4.0 | 1188 | 1.5043 | 0.4980 |
| 0.7732 | 5.0 | 1485 | 2.0586 | 0.4878 |
| 0.5308 | 6.0 | 1782 | 1.9069 | 0.4611 |
| 0.4125 | 7.0 | 2079 | 2.4514 | 0.4807 |
| 0.4125 | 8.0 | 2376 | 2.7144 | 0.4941 |
| 0.2539 | 9.0 | 2673 | 2.7355 | 0.5074 |
| 0.2539 | 10.0 | 2970 | 3.4404 | 0.5034 |
| 0.1538 | 11.0 | 3267 | 3.6571 | 0.4976 |
| 0.107 | 12.0 | 3564 | 3.8279 | 0.4992 |
| 0.107 | 13.0 | 3861 | 3.8366 | 0.4825 |
| 0.0402 | 14.0 | 4158 | 4.1133 | 0.4942 |
| 0.0402 | 15.0 | 4455 | 4.2386 | 0.4851 |
| 0.0434 | 16.0 | 4752 | 4.4226 | 0.4938 |
| 0.0127 | 17.0 | 5049 | 4.5016 | 0.5051 |
| 0.0127 | 18.0 | 5346 | 4.5485 | 0.5000 |
| 0.0064 | 19.0 | 5643 | 4.6323 | 0.4810 |
| 0.0064 | 20.0 | 5940 | 4.6424 | 0.4885 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2