results_new
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2322
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 234 | 0.2011 |
| No log | 2.0 | 468 | 0.2151 |
| 0.246 | 3.0 | 702 | 0.1992 |
| 0.246 | 4.0 | 936 | 0.1964 |
| 0.0694 | 5.0 | 1170 | 0.1924 |
| 0.0694 | 6.0 | 1404 | 0.2061 |
| 0.028 | 7.0 | 1638 | 0.2185 |
| 0.028 | 8.0 | 1872 | 0.2135 |
| 0.0155 | 9.0 | 2106 | 0.2338 |
| 0.0155 | 10.0 | 2340 | 0.2322 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google-bert/bert-base-multilingual-cased