<!-- 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. -->
exist-2023-task1
This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1508
- F1: 0.9539
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 217 | 0.5111 | 0.7595 |
| No log | 2.0 | 434 | 0.4330 | 0.7788 |
| 0.5404 | 3.0 | 651 | 0.3532 | 0.8527 |
| 0.5404 | 4.0 | 868 | 0.3284 | 0.8439 |
| 0.3878 | 5.0 | 1085 | 0.2876 | 0.8875 |
| 0.3878 | 6.0 | 1302 | 0.2204 | 0.9212 |
| 0.299 | 7.0 | 1519 | 0.1917 | 0.9335 |
| 0.299 | 8.0 | 1736 | 0.1731 | 0.9452 |
| 0.299 | 9.0 | 1953 | 0.1570 | 0.9515 |
| 0.2339 | 10.0 | 2170 | 0.1508 | 0.9539 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
