---
library_name: transformers
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: 0.7726

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 1.9023        | 1.0   | 4217   | 1.6211          |
| 1.0906        | 2.0   | 8434   | 1.0170          |
| 0.8854        | 3.0   | 12651  | 0.8678          |
| 0.7789        | 4.0   | 16868  | 0.8159          |
| 0.773         | 5.0   | 21085  | 0.7924          |
| 0.7133        | 6.0   | 25302  | 0.7882          |
| 0.6678        | 7.0   | 29519  | 0.7924          |
| 0.6326        | 8.0   | 33736  | 0.7726          |
| 0.6526        | 9.0   | 37953  | 0.7762          |
| 0.637         | 10.0  | 42170  | 0.7780          |
| 0.6082        | 11.0  | 46387  | 0.7844          |
| 0.6266        | 12.0  | 50604  | 0.7876          |
| 0.599         | 13.0  | 54821  | 0.7925          |
| 0.6052        | 14.0  | 59038  | 0.7941          |
| 0.5704        | 15.0  | 63255  | 0.8016          |
| 0.582         | 16.0  | 67472  | 0.8071          |
| 0.5993        | 17.0  | 71689  | 0.8011          |
| 0.5854        | 18.0  | 75906  | 0.8075          |
| 0.5949        | 19.0  | 80123  | 0.8176          |
| 0.6008        | 20.0  | 84340  | 0.8237          |
| 0.5914        | 21.0  | 88557  | 0.8394          |
| 0.5359        | 22.0  | 92774  | 0.8384          |
| 0.5681        | 23.0  | 96991  | 0.8318          |
| 0.5734        | 24.0  | 101208 | 0.8221          |
| 0.5627        | 25.0  | 105425 | 0.8343          |


### Framework versions

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