hasoc19-bert-base-multilingual-cased-targinsult1
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1105
- Accuracy: 0.6920
- Precision: 0.6630
- Recall: 0.6523
- F1: 0.6559
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: 1e-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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 263 | 0.5820 | 0.6820 | 0.6704 | 0.5890 | 0.5768 |
| 0.5841 | 2.0 | 526 | 0.5826 | 0.7025 | 0.6972 | 0.6196 | 0.6179 |
| 0.5841 | 3.0 | 789 | 0.5732 | 0.7029 | 0.6810 | 0.6863 | 0.6831 |
| 0.4583 | 4.0 | 1052 | 0.6151 | 0.7063 | 0.6797 | 0.6712 | 0.6744 |
| 0.4583 | 5.0 | 1315 | 0.6998 | 0.7034 | 0.6773 | 0.6732 | 0.6750 |
| 0.3201 | 6.0 | 1578 | 0.7943 | 0.6892 | 0.6679 | 0.6744 | 0.6701 |
| 0.3201 | 7.0 | 1841 | 0.9488 | 0.6873 | 0.6565 | 0.6386 | 0.6428 |
| 0.207 | 8.0 | 2104 | 1.0036 | 0.6844 | 0.6563 | 0.6529 | 0.6544 |
| 0.207 | 9.0 | 2367 | 1.0690 | 0.6906 | 0.6617 | 0.6532 | 0.6562 |
| 0.1517 | 10.0 | 2630 | 1.1105 | 0.6920 | 0.6630 | 0.6523 | 0.6559 |
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1