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exist-2023-task2
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: 0.4756
- F1: 0.7027
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 97 | 1.0175 | 0.4991 |
| No log | 2.0 | 194 | 0.8374 | 0.5695 |
| No log | 3.0 | 291 | 0.7967 | 0.5876 |
| No log | 4.0 | 388 | 0.7797 | 0.5982 |
| No log | 5.0 | 485 | 0.7161 | 0.6424 |
| 0.8645 | 6.0 | 582 | 0.6662 | 0.6302 |
| 0.8645 | 7.0 | 679 | 0.6580 | 0.6385 |
| 0.8645 | 8.0 | 776 | 0.6465 | 0.6491 |
| 0.8645 | 9.0 | 873 | 0.8620 | 0.5650 |
| 0.8645 | 10.0 | 970 | 0.5704 | 0.6852 |
| 0.6764 | 11.0 | 1067 | 0.5434 | 0.6806 |
| 0.6764 | 12.0 | 1164 | 0.7109 | 0.6192 |
| 0.6764 | 13.0 | 1261 | 0.5411 | 0.6708 |
| 0.6764 | 14.0 | 1358 | 0.5557 | 0.6675 |
| 0.6764 | 15.0 | 1455 | 0.5483 | 0.6701 |
| 0.56 | 16.0 | 1552 | 0.5155 | 0.6817 |
| 0.56 | 17.0 | 1649 | 0.5375 | 0.6750 |
| 0.56 | 18.0 | 1746 | 0.4858 | 0.6984 |
| 0.56 | 19.0 | 1843 | 0.4571 | 0.7091 |
| 0.56 | 20.0 | 1940 | 0.4756 | 0.7027 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
