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exist-2023-task3
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: 0.3814
- Acc: 47.9045
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 | Acc |
|---|---|---|---|---|
| No log | 1.0 | 97 | 0.4243 | 28.9107 |
| No log | 2.0 | 194 | 0.4149 | 31.6012 |
| No log | 3.0 | 291 | 0.4112 | 32.5061 |
| No log | 4.0 | 388 | 0.4111 | 32.6858 |
| No log | 5.0 | 485 | 0.4049 | 34.8687 |
| 0.416 | 6.0 | 582 | 0.4023 | 35.9895 |
| 0.416 | 7.0 | 679 | 0.4005 | 36.6499 |
| 0.416 | 8.0 | 776 | 0.3978 | 38.6035 |
| 0.416 | 9.0 | 873 | 0.3964 | 38.5017 |
| 0.416 | 10.0 | 970 | 0.3931 | 40.5065 |
| 0.4029 | 11.0 | 1067 | 0.3912 | 42.2190 |
| 0.4029 | 12.0 | 1164 | 0.3891 | 43.2468 |
| 0.4029 | 13.0 | 1261 | 0.3888 | 42.6855 |
| 0.4029 | 14.0 | 1358 | 0.3861 | 44.5341 |
| 0.4029 | 15.0 | 1455 | 0.3851 | 44.8797 |
| 0.3932 | 16.0 | 1552 | 0.3841 | 46.3287 |
| 0.3932 | 17.0 | 1649 | 0.3832 | 46.5887 |
| 0.3932 | 18.0 | 1746 | 0.3820 | 47.4830 |
| 0.3932 | 19.0 | 1843 | 0.3817 | 47.8015 |
| 0.3932 | 20.0 | 1940 | 0.3814 | 47.9045 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
