---
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: 0.8315

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3436        | 1.0   | 3809  | 1.9815          |
| 1.2453        | 2.0   | 7618  | 1.1621          |
| 0.9853        | 3.0   | 11427 | 0.9375          |
| 0.8483        | 4.0   | 15236 | 0.9018          |
| 0.8195        | 5.0   | 19045 | 0.8538          |
| 0.7579        | 6.0   | 22854 | 0.8540          |
| 0.7123        | 7.0   | 26663 | 0.8397          |
| 0.7064        | 8.0   | 30472 | 0.8405          |
| 0.6987        | 9.0   | 34281 | 0.8315          |
| 0.676         | 10.0  | 38090 | 0.8530          |
| 0.6566        | 11.0  | 41899 | 0.8504          |
| 0.6411        | 12.0  | 45708 | 0.8501          |
| 0.6432        | 13.0  | 49517 | 0.8545          |
| 0.6483        | 14.0  | 53326 | 0.8624          |
| 0.6447        | 15.0  | 57135 | 0.8635          |
| 0.6077        | 16.0  | 60944 | 0.8782          |
| 0.6208        | 17.0  | 64753 | 0.8925          |
| 0.624         | 18.0  | 68562 | 0.8834          |
| 0.6298        | 19.0  | 72371 | 0.9000          |
| 0.6488        | 20.0  | 76180 | 0.8922          |
| 0.6019        | 21.0  | 79989 | 0.9025          |
| 0.6412        | 22.0  | 83798 | 0.8963          |
| 0.6078        | 23.0  | 87607 | 0.9045          |
| 0.6163        | 24.0  | 91416 | 0.8898          |
| 0.6275        | 25.0  | 95225 | 0.9036          |


### Framework versions

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