| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bankstatementmodelver1 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # bankstatementmodelver1 |
| |
|
| | This model was trained from scratch 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: 40 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | No log | 1.0 | 250 | 5.9506 | |
| | | 5.9757 | 2.0 | 500 | 5.9506 | |
| | | 5.9757 | 3.0 | 750 | 5.9506 | |
| | | 5.9729 | 4.0 | 1000 | 5.9506 | |
| | | 5.9729 | 5.0 | 1250 | 5.9506 | |
| | | 5.9635 | 6.0 | 1500 | 5.9506 | |
| | | 5.9635 | 7.0 | 1750 | 5.9506 | |
| | | 5.9611 | 8.0 | 2000 | 5.9506 | |
| | | 5.9611 | 9.0 | 2250 | 5.9506 | |
| | | 5.9607 | 10.0 | 2500 | 5.9506 | |
| | | 5.9607 | 11.0 | 2750 | 5.9506 | |
| | | 5.96 | 12.0 | 3000 | 5.9506 | |
| | | 5.96 | 13.0 | 3250 | 5.9506 | |
| | | 5.9608 | 14.0 | 3500 | 5.9506 | |
| | | 5.9608 | 15.0 | 3750 | 5.9506 | |
| | | 5.9588 | 16.0 | 4000 | 5.9506 | |
| | | 5.9588 | 17.0 | 4250 | 5.9506 | |
| | | 5.9584 | 18.0 | 4500 | 5.9506 | |
| | | 5.9584 | 19.0 | 4750 | 5.9506 | |
| | | 5.9581 | 20.0 | 5000 | 5.9506 | |
| | | 5.9581 | 21.0 | 5250 | 5.9506 | |
| | | 5.9558 | 22.0 | 5500 | 5.9506 | |
| | | 5.9558 | 23.0 | 5750 | 5.9506 | |
| | | 5.9558 | 24.0 | 6000 | 5.9506 | |
| | | 5.9558 | 25.0 | 6250 | 5.9506 | |
| | | 5.9557 | 26.0 | 6500 | 5.9506 | |
| | | 5.9557 | 27.0 | 6750 | 5.9506 | |
| | | 5.955 | 28.0 | 7000 | 5.9506 | |
| | | 5.955 | 29.0 | 7250 | 5.9506 | |
| | | 5.9537 | 30.0 | 7500 | 5.9506 | |
| | | 5.9537 | 31.0 | 7750 | 5.9506 | |
| | | 5.9535 | 32.0 | 8000 | 5.9506 | |
| | | 5.9535 | 33.0 | 8250 | 5.9506 | |
| | | 5.9528 | 34.0 | 8500 | 5.9506 | |
| | | 5.9528 | 35.0 | 8750 | 5.9506 | |
| | | 5.9529 | 36.0 | 9000 | 5.9506 | |
| | | 5.9529 | 37.0 | 9250 | 5.9506 | |
| | | 5.9525 | 38.0 | 9500 | 5.9506 | |
| | | 5.9525 | 39.0 | 9750 | 5.9506 | |
| | | 5.9516 | 40.0 | 10000 | 5.9506 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
