swa-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: 8.1872
- F1-micro: 0.2440
- F1-macro: 0.2419
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: 32
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|---|---|---|---|---|---|
| 64.7127 | 1.0 | 83 | 8.1205 | 0.2306 | 0.2076 |
| 61.6724 | 2.0 | 166 | 7.9204 | 0.2334 | 0.2333 |
| 57.8734 | 3.0 | 249 | 7.9715 | 0.2349 | 0.2385 |
| 54.18 | 4.0 | 332 | 8.1872 | 0.2440 | 0.2419 |
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/swa-mbert-focal
Base model
google-bert/bert-base-multilingual-uncased