---
license: apache-2.0
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: 0.0000

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 229  | 0.0004          |
| No log        | 2.0   | 458  | 0.0001          |
| 0.0054        | 3.0   | 687  | 0.0001          |
| 0.0054        | 4.0   | 916  | 0.0000          |
| 0.0001        | 5.0   | 1145 | 0.0000          |
| 0.0001        | 6.0   | 1374 | 0.0000          |
| 0.0           | 7.0   | 1603 | 0.0000          |
| 0.0           | 8.0   | 1832 | 0.0000          |
| 0.0           | 9.0   | 2061 | 0.0000          |
| 0.0           | 10.0  | 2290 | 0.0000          |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3