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SEMEVAL23_TASK3_SUBTASK1_MULTI
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6313
- F1: 0.6299
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: 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9669 | 1.0 | 160 | 0.9574 | 0.4075 |
| 0.4214 | 2.0 | 320 | 0.6809 | 0.5769 |
| 0.0096 | 3.0 | 480 | 1.3114 | 0.4152 |
| 0.2681 | 4.0 | 640 | 0.7792 | 0.6122 |
| 0.0007 | 5.0 | 800 | 1.3213 | 0.5765 |
| 0.0005 | 6.0 | 960 | 1.7983 | 0.5749 |
| 0.0011 | 7.0 | 1120 | 2.2000 | 0.5298 |
| 0.0008 | 8.0 | 1280 | 1.3757 | 0.5812 |
| 0.0007 | 9.0 | 1440 | 1.5493 | 0.5990 |
| 0.001 | 10.0 | 1600 | 1.4796 | 0.6233 |
| 0.0008 | 11.0 | 1760 | 1.4954 | 0.6251 |
| 0.0002 | 12.0 | 1920 | 1.6313 | 0.6299 |
| 0.0004 | 13.0 | 2080 | 1.5037 | 0.6296 |
| 0.0008 | 14.0 | 2240 | 1.5526 | 0.6277 |
| 0.0001 | 15.0 | 2400 | 1.5745 | 0.6254 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
