---
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: 0.6760

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7046        | 1.0   | 2163  | 1.3254          |
| 0.9319        | 2.0   | 4326  | 0.8316          |
| 0.748         | 3.0   | 6489  | 0.7299          |
| 0.6583        | 4.0   | 8652  | 0.6946          |
| 0.6182        | 5.0   | 10815 | 0.6901          |
| 0.5848        | 6.0   | 12978 | 0.6760          |
| 0.5789        | 7.0   | 15141 | 0.6797          |
| 0.543         | 8.0   | 17304 | 0.6948          |
| 0.5364        | 9.0   | 19467 | 0.7041          |
| 0.5203        | 10.0  | 21630 | 0.7032          |
| 0.4974        | 11.0  | 23793 | 0.7076          |
| 0.519         | 12.0  | 25956 | 0.7232          |
| 0.5235        | 13.0  | 28119 | 0.7073          |
| 0.5332        | 14.0  | 30282 | 0.7254          |
| 0.5109        | 15.0  | 32445 | 0.7158          |
| 0.5031        | 16.0  | 34608 | 0.7207          |
| 0.5169        | 17.0  | 36771 | 0.7369          |
| 0.4915        | 18.0  | 38934 | 0.7322          |
| 0.4975        | 19.0  | 41097 | 0.7422          |
| 0.4961        | 20.0  | 43260 | 0.7533          |
| 0.4692        | 21.0  | 45423 | 0.7670          |
| 0.5122        | 22.0  | 47586 | 0.7420          |
| 0.5024        | 23.0  | 49749 | 0.7388          |
| 0.4867        | 24.0  | 51912 | 0.7470          |
| 0.4884        | 25.0  | 54075 | 0.7474          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Tokenizers 0.20.3