---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: TenaliAI-Banking-v1
  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. -->

# TenaliAI-Banking-v1

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4832

## 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: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0141        | 1.0   | 3229  | 0.8505          |
| 0.5894        | 2.0   | 6458  | 0.5827          |
| 0.505         | 3.0   | 9687  | 0.5536          |
| 0.4528        | 4.0   | 12916 | 0.5003          |
| 0.4438        | 5.0   | 16145 | 0.4981          |
| 0.4142        | 6.0   | 19374 | 0.4867          |
| 0.4055        | 7.0   | 22603 | 0.4881          |
| 0.3754        | 8.0   | 25832 | 0.4858          |
| 0.3923        | 9.0   | 29061 | 0.4877          |
| 0.3644        | 10.0  | 32290 | 0.4845          |
| 0.375         | 11.0  | 35519 | 0.4832          |
| 0.3616        | 12.0  | 38748 | 0.5111          |
| 0.3586        | 13.0  | 41977 | 0.5285          |
| 0.3508        | 14.0  | 45206 | 0.5084          |
| 0.3572        | 15.0  | 48435 | 0.5134          |
| 0.3497        | 16.0  | 51664 | 0.5092          |
| 0.3431        | 17.0  | 54893 | 0.5354          |
| 0.3362        | 18.0  | 58122 | 0.5221          |
| 0.3582        | 19.0  | 61351 | 0.5250          |
| 0.3442        | 20.0  | 64580 | 0.5362          |
| 0.3299        | 21.0  | 67809 | 0.5433          |
| 0.3148        | 22.0  | 71038 | 0.5425          |
| 0.347         | 23.0  | 74267 | 0.5520          |
| 0.3233        | 24.0  | 77496 | 0.5601          |
| 0.3163        | 25.0  | 80725 | 0.5510          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1