mBERT_sa_cv_9_fold3
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5045
- F1: 0.6487
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: 4.47e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 325 | 0.4856 | 0.5161 |
| 0.5518 | 2.0 | 650 | 0.5068 | 0.6263 |
| 0.5518 | 3.0 | 975 | 0.5045 | 0.6487 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for DiederikMartens/mBERT_sa_cv_9_fold3
Base model
google-bert/bert-base-multilingual-cased