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bert-base-multilingual-cased1
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8440
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-06
- 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 | 214 | 4.0240 |
| No log | 2.0 | 428 | 2.6347 |
| 4.063 | 3.0 | 642 | 2.3167 |
| 4.063 | 4.0 | 856 | 2.1420 |
| 2.3039 | 5.0 | 1070 | 2.0258 |
| 2.3039 | 6.0 | 1284 | 1.9483 |
| 2.3039 | 7.0 | 1498 | 1.8992 |
| 1.9096 | 8.0 | 1712 | 1.8669 |
| 1.9096 | 9.0 | 1926 | 1.8460 |
| 1.7069 | 10.0 | 2140 | 1.8440 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
