bert-base-multilingual-HeQ-v1
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5446
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 425 | 1.4346 |
| 1.9738 | 2.0 | 850 | 1.3225 |
| 1.2467 | 3.0 | 1275 | 1.3464 |
| 0.972 | 4.0 | 1700 | 1.3826 |
| 0.7828 | 5.0 | 2125 | 1.4196 |
| 0.6579 | 6.0 | 2550 | 1.5044 |
| 0.6579 | 7.0 | 2975 | 1.5446 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3