yor-mbert-asym-lr-3e-5
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: 0.0713
- F1-micro: 0.4284
- F1-macro: 0.2656
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: 29
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|---|---|---|---|---|---|
| 0.0825 | 1.0 | 75 | 0.0798 | 0.3549 | 0.0727 |
| 0.0788 | 2.0 | 150 | 0.0744 | 0.3853 | 0.1806 |
| 0.0704 | 3.0 | 225 | 0.0703 | 0.4332 | 0.2560 |
| 0.0607 | 4.0 | 300 | 0.0713 | 0.4284 | 0.2656 |
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/yor-mbert-asym-lr-3e-5
Base model
google-bert/bert-base-multilingual-uncased