---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: TenaliAI-FinTech-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-FinTech-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: 0.1134

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 224  | 2.5812          |
| No log        | 2.0   | 448  | 1.2454          |
| 2.5217        | 3.0   | 672  | 0.4337          |
| 2.5217        | 4.0   | 896  | 0.1572          |
| 0.4296        | 5.0   | 1120 | 0.1191          |
| 0.4296        | 6.0   | 1344 | 0.1208          |
| 0.0629        | 7.0   | 1568 | 0.1140          |
| 0.0629        | 8.0   | 1792 | 0.1212          |
| 0.0254        | 9.0   | 2016 | 0.1215          |
| 0.0254        | 10.0  | 2240 | 0.1213          |
| 0.0254        | 11.0  | 2464 | 0.1136          |
| 0.0118        | 12.0  | 2688 | 0.1134          |
| 0.0118        | 13.0  | 2912 | 0.1161          |
| 0.0092        | 14.0  | 3136 | 0.1191          |
| 0.0092        | 15.0  | 3360 | 0.1305          |
| 0.0056        | 16.0  | 3584 | 0.1332          |
| 0.0056        | 17.0  | 3808 | 0.1343          |
| 0.0055        | 18.0  | 4032 | 0.1362          |
| 0.0055        | 19.0  | 4256 | 0.1362          |
| 0.0055        | 20.0  | 4480 | 0.1450          |
| 0.0037        | 21.0  | 4704 | 0.1421          |
| 0.0037        | 22.0  | 4928 | 0.1460          |
| 0.003         | 23.0  | 5152 | 0.1472          |
| 0.003         | 24.0  | 5376 | 0.1428          |
| 0.0026        | 25.0  | 5600 | 0.1493          |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.4.0
- Tokenizers 0.19.1