---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nosql-identifier-bert
  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. -->

# nosql-identifier-bert

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: 0.1785
- Accuracy: 0.975

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 40   | 0.5065          | 0.9      |
| No log        | 2.0   | 80   | 0.1797          | 0.975    |
| No log        | 3.0   | 120  | 0.3728          | 0.8      |
| No log        | 4.0   | 160  | 0.1881          | 0.925    |
| No log        | 5.0   | 200  | 0.1524          | 0.95     |
| No log        | 6.0   | 240  | 0.1662          | 0.9      |
| No log        | 7.0   | 280  | 0.2983          | 0.9      |
| No log        | 8.0   | 320  | 0.1435          | 0.975    |
| No log        | 9.0   | 360  | 0.1648          | 0.975    |
| No log        | 10.0  | 400  | 0.1821          | 0.975    |
| No log        | 11.0  | 440  | 0.3313          | 0.95     |
| No log        | 12.0  | 480  | 0.2157          | 0.95     |
| 0.2728        | 13.0  | 520  | 0.3267          | 0.95     |
| 0.2728        | 14.0  | 560  | 0.1715          | 0.975    |
| 0.2728        | 15.0  | 600  | 0.1850          | 0.975    |
| 0.2728        | 16.0  | 640  | 0.2443          | 0.95     |
| 0.2728        | 17.0  | 680  | 0.1755          | 0.975    |
| 0.2728        | 18.0  | 720  | 0.1747          | 0.975    |
| 0.2728        | 19.0  | 760  | 0.1763          | 0.975    |
| 0.2728        | 20.0  | 800  | 0.1785          | 0.975    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.11.0