yor-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: 7.6681
- F1-micro: 0.2342
- F1-macro: 0.2379
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 |
|---|---|---|---|---|---|
| 63.0987 | 1.0 | 75 | 8.0467 | 0.2018 | 0.1924 |
| 60.0675 | 2.0 | 150 | 7.6260 | 0.2058 | 0.2146 |
| 55.6551 | 3.0 | 225 | 7.5022 | 0.2322 | 0.2280 |
| 51.7299 | 4.0 | 300 | 7.6681 | 0.2342 | 0.2379 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
- Downloads last month
- 5
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for jaycentg/yor-mbert-focal
Base model
google-bert/bert-base-multilingual-uncased