---
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_intent
  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. -->

# bert_intent

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0184
- Accuracy: 0.9975

## 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: 1e-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: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3247        | 1.0   | 693   | 0.0407          | 0.9895   |
| 0.024         | 2.0   | 1386  | 0.0220          | 0.9951   |
| 0.0076        | 3.0   | 2079  | 0.0144          | 0.9958   |
| 0.0048        | 4.0   | 2772  | 0.0111          | 0.9965   |
| 0.0031        | 5.0   | 3465  | 0.0076          | 0.9975   |
| 0.0014        | 6.0   | 4158  | 0.0069          | 0.9979   |
| 0.0009        | 7.0   | 4851  | 0.0073          | 0.9972   |
| 0.0005        | 8.0   | 5544  | 0.0071          | 0.9972   |
| 0.0003        | 9.0   | 6237  | 0.0074          | 0.9972   |
| 0.0002        | 10.0  | 6930  | 0.0073          | 0.9975   |
| 0.0001        | 11.0  | 7623  | 0.0077          | 0.9972   |
| 0.0001        | 12.0  | 8316  | 0.0078          | 0.9972   |
| 0.0001        | 13.0  | 9009  | 0.0082          | 0.9972   |
| 0.0001        | 14.0  | 9702  | 0.0086          | 0.9972   |
| 0.0           | 15.0  | 10395 | 0.0087          | 0.9975   |
| 0.0           | 16.0  | 11088 | 0.0088          | 0.9975   |
| 0.0           | 17.0  | 11781 | 0.0092          | 0.9975   |
| 0.0           | 18.0  | 12474 | 0.0101          | 0.9975   |
| 0.0           | 19.0  | 13167 | 0.0107          | 0.9975   |
| 0.0           | 20.0  | 13860 | 0.0117          | 0.9972   |
| 0.0           | 21.0  | 14553 | 0.0114          | 0.9975   |
| 0.0           | 22.0  | 15246 | 0.0121          | 0.9975   |
| 0.0           | 23.0  | 15939 | 0.0127          | 0.9972   |
| 0.0           | 24.0  | 16632 | 0.0128          | 0.9975   |
| 0.0           | 25.0  | 17325 | 0.0133          | 0.9972   |
| 0.0           | 26.0  | 18018 | 0.0140          | 0.9975   |
| 0.0           | 27.0  | 18711 | 0.0140          | 0.9975   |
| 0.0           | 28.0  | 19404 | 0.0145          | 0.9972   |
| 0.0           | 29.0  | 20097 | 0.0145          | 0.9972   |
| 0.0           | 30.0  | 20790 | 0.0150          | 0.9975   |
| 0.0           | 31.0  | 21483 | 0.0150          | 0.9975   |
| 0.0           | 32.0  | 22176 | 0.0158          | 0.9972   |
| 0.0           | 33.0  | 22869 | 0.0160          | 0.9972   |
| 0.0           | 34.0  | 23562 | 0.0166          | 0.9972   |
| 0.0           | 35.0  | 24255 | 0.0165          | 0.9972   |
| 0.0           | 36.0  | 24948 | 0.0169          | 0.9972   |
| 0.0           | 37.0  | 25641 | 0.0170          | 0.9975   |
| 0.0           | 38.0  | 26334 | 0.0172          | 0.9975   |
| 0.0           | 39.0  | 27027 | 0.0175          | 0.9975   |
| 0.0           | 40.0  | 27720 | 0.0175          | 0.9975   |
| 0.0           | 41.0  | 28413 | 0.0177          | 0.9975   |
| 0.0           | 42.0  | 29106 | 0.0179          | 0.9975   |
| 0.0           | 43.0  | 29799 | 0.0180          | 0.9975   |
| 0.0           | 44.0  | 30492 | 0.0181          | 0.9975   |
| 0.0           | 45.0  | 31185 | 0.0182          | 0.9975   |
| 0.0           | 46.0  | 31878 | 0.0183          | 0.9975   |
| 0.0           | 47.0  | 32571 | 0.0183          | 0.9975   |
| 0.0           | 48.0  | 33264 | 0.0183          | 0.9975   |
| 0.0           | 49.0  | 33957 | 0.0183          | 0.9975   |
| 0.0           | 50.0  | 34650 | 0.0184          | 0.9975   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1
- Datasets 2.19.2
- Tokenizers 0.19.1