tat-mbert-focal
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: 9.6465
- F1-micro: 0.3627
- F1-macro: 0.3919
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: 10
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|---|---|---|---|---|---|
| 87.5949 | 1.0 | 25 | 10.1382 | 0.3179 | 0.3319 |
| 76.0685 | 2.0 | 50 | 9.6216 | 0.3514 | 0.3792 |
| 70.8459 | 3.0 | 75 | 9.6779 | 0.3509 | 0.3781 |
| 67.8131 | 4.0 | 100 | 9.6465 | 0.3627 | 0.3919 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for jaycentg/tat-mbert-focal
Base model
google-bert/bert-base-multilingual-uncased