---
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: 0.8354

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3149        | 1.0   | 3805  | 1.9892          |
| 1.2456        | 2.0   | 7610  | 1.1899          |
| 0.9588        | 3.0   | 11415 | 0.9585          |
| 0.8487        | 4.0   | 15220 | 0.8958          |
| 0.7874        | 5.0   | 19025 | 0.8803          |
| 0.7452        | 6.0   | 22830 | 0.8615          |
| 0.703         | 7.0   | 26635 | 0.8594          |
| 0.706         | 8.0   | 30440 | 0.8418          |
| 0.681         | 9.0   | 34245 | 0.8509          |
| 0.6653        | 10.0  | 38050 | 0.8445          |
| 0.6728        | 11.0  | 41855 | 0.8354          |
| 0.6226        | 12.0  | 45660 | 0.8583          |
| 0.6599        | 13.0  | 49465 | 0.8481          |
| 0.6375        | 14.0  | 53270 | 0.8592          |
| 0.64          | 15.0  | 57075 | 0.8599          |
| 0.644         | 16.0  | 60880 | 0.8704          |
| 0.5926        | 17.0  | 64685 | 0.8955          |
| 0.6346        | 18.0  | 68490 | 0.8906          |
| 0.6127        | 19.0  | 72295 | 0.9010          |
| 0.6051        | 20.0  | 76100 | 0.8887          |
| 0.6311        | 21.0  | 79905 | 0.8976          |
| 0.6386        | 22.0  | 83710 | 0.8875          |
| 0.606         | 23.0  | 87515 | 0.8969          |
| 0.6063        | 24.0  | 91320 | 0.9097          |
| 0.595         | 25.0  | 95125 | 0.9169          |


### Framework versions

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