ukr-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: 0.0679
- F1-micro: 0.4356
- F1-macro: 0.3604
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: 24
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
---|---|---|---|---|---|
0.0783 | 1.0 | 62 | 0.0759 | 0.3210 | 0.1967 |
0.0714 | 2.0 | 124 | 0.0707 | 0.3856 | 0.3143 |
0.0619 | 3.0 | 186 | 0.0671 | 0.4225 | 0.3153 |
0.0514 | 4.0 | 248 | 0.0679 | 0.4356 | 0.3604 |
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/ukr-mbert-asym-lr-3e-5
Base model
google-bert/bert-base-multilingual-uncased