som
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3043
- F1-micro: 0.1964
- F1-macro: 0.0818
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 33
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|---|---|---|---|---|---|
| 0.428 | 1.0 | 85 | 0.3427 | 0.0 | 0.0 |
| 0.3365 | 2.0 | 170 | 0.3249 | 0.0 | 0.0 |
| 0.3146 | 3.0 | 255 | 0.3108 | 0.0898 | 0.0476 |
| 0.2924 | 4.0 | 340 | 0.3043 | 0.1964 | 0.0818 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Base model
google-bert/bert-base-multilingual-uncased