bankstatementmodelver2
This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.9506
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: 0.01
- train_batch_size: 16
- eval_batch_size: 11
- 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 |
|---|---|---|---|
| 5.9985 | 1.0 | 981 | 5.9506 |
| 5.9666 | 2.0 | 1962 | 5.9506 |
| 5.9623 | 3.0 | 2943 | 5.9506 |
| 5.9592 | 4.0 | 3924 | 5.9506 |
| 5.9577 | 5.0 | 4905 | 5.9506 |
| 5.956 | 6.0 | 5886 | 5.9506 |
| 5.9565 | 7.0 | 6867 | 5.9506 |
| 5.9543 | 8.0 | 7848 | 5.9506 |
| 5.9535 | 9.0 | 8829 | 5.9506 |
| 5.9519 | 10.0 | 9810 | 5.9506 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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