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baseline001-50-20230913
This model is a fine-tuned version of intanm/mbert-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8797
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 | 100 | 2.9207 |
| No log | 2.0 | 200 | 2.9880 |
| No log | 3.0 | 300 | 3.2226 |
| No log | 4.0 | 400 | 3.7301 |
| 1.9231 | 5.0 | 500 | 4.1041 |
| 1.9231 | 6.0 | 600 | 4.3848 |
| 1.9231 | 7.0 | 700 | 4.6603 |
| 1.9231 | 8.0 | 800 | 4.7136 |
| 1.9231 | 9.0 | 900 | 4.7793 |
| 0.355 | 10.0 | 1000 | 4.8797 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
