---
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: 0.7505

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 1.6215        | 1.0   | 5485   | 1.3611          |
| 0.9667        | 2.0   | 10970  | 0.9202          |
| 0.7911        | 3.0   | 16455  | 0.8125          |
| 0.7406        | 4.0   | 21940  | 0.7648          |
| 0.6934        | 5.0   | 27425  | 0.7711          |
| 0.6457        | 6.0   | 32910  | 0.7546          |
| 0.6511        | 7.0   | 38395  | 0.7506          |
| 0.6244        | 8.0   | 43880  | 0.7548          |
| 0.6076        | 9.0   | 49365  | 0.7505          |
| 0.6003        | 10.0  | 54850  | 0.7579          |
| 0.5649        | 11.0  | 60335  | 0.7583          |
| 0.5616        | 12.0  | 65820  | 0.7597          |
| 0.5688        | 13.0  | 71305  | 0.7685          |
| 0.5571        | 14.0  | 76790  | 0.7705          |
| 0.5709        | 15.0  | 82275  | 0.7666          |
| 0.56          | 16.0  | 87760  | 0.7790          |
| 0.5474        | 17.0  | 93245  | 0.7798          |
| 0.5431        | 18.0  | 98730  | 0.7906          |
| 0.541         | 19.0  | 104215 | 0.7987          |
| 0.5426        | 20.0  | 109700 | 0.7953          |
| 0.5534        | 21.0  | 115185 | 0.7978          |
| 0.5541        | 22.0  | 120670 | 0.7929          |
| 0.538         | 23.0  | 126155 | 0.7997          |
| 0.5463        | 24.0  | 131640 | 0.8205          |
| 0.5606        | 25.0  | 137125 | 0.8226          |


### Framework versions

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