---
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