---
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: 0.0169
- Accuracy: 0.9982

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2615        | 1.0   | 692   | 0.0516          | 0.9809   |
| 0.0191        | 2.0   | 1384  | 0.0231          | 0.9947   |
| 0.0083        | 3.0   | 2076  | 0.0140          | 0.9982   |
| 0.0051        | 4.0   | 2768  | 0.0101          | 0.9975   |
| 0.0028        | 5.0   | 3460  | 0.0075          | 0.9979   |
| 0.0013        | 6.0   | 4152  | 0.0064          | 0.9979   |
| 0.0008        | 7.0   | 4844  | 0.0073          | 0.9979   |
| 0.0004        | 8.0   | 5536  | 0.0069          | 0.9979   |
| 0.0003        | 9.0   | 6228  | 0.0072          | 0.9979   |
| 0.0002        | 10.0  | 6920  | 0.0075          | 0.9979   |
| 0.0002        | 11.0  | 7612  | 0.0077          | 0.9979   |
| 0.0001        | 12.0  | 8304  | 0.0080          | 0.9979   |
| 0.0001        | 13.0  | 8996  | 0.0083          | 0.9979   |
| 0.0001        | 14.0  | 9688  | 0.0087          | 0.9979   |
| 0.0           | 15.0  | 10380 | 0.0093          | 0.9979   |
| 0.0           | 16.0  | 11072 | 0.0097          | 0.9982   |
| 0.0           | 17.0  | 11764 | 0.0096          | 0.9979   |
| 0.0           | 18.0  | 12456 | 0.0106          | 0.9979   |
| 0.0           | 19.0  | 13148 | 0.0108          | 0.9979   |
| 0.0           | 20.0  | 13840 | 0.0110          | 0.9979   |
| 0.0           | 21.0  | 14532 | 0.0111          | 0.9979   |
| 0.0           | 22.0  | 15224 | 0.0116          | 0.9979   |
| 0.0           | 23.0  | 15916 | 0.0116          | 0.9979   |
| 0.0           | 24.0  | 16608 | 0.0125          | 0.9982   |
| 0.0           | 25.0  | 17300 | 0.0130          | 0.9982   |
| 0.0           | 26.0  | 17992 | 0.0124          | 0.9979   |
| 0.0           | 27.0  | 18684 | 0.0129          | 0.9979   |
| 0.0           | 28.0  | 19376 | 0.0138          | 0.9982   |
| 0.0           | 29.0  | 20068 | 0.0140          | 0.9982   |
| 0.0           | 30.0  | 20760 | 0.0145          | 0.9982   |
| 0.0           | 31.0  | 21452 | 0.0144          | 0.9982   |
| 0.0           | 32.0  | 22144 | 0.0146          | 0.9982   |
| 0.0           | 33.0  | 22836 | 0.0152          | 0.9982   |
| 0.0           | 34.0  | 23528 | 0.0151          | 0.9982   |
| 0.0           | 35.0  | 24220 | 0.0151          | 0.9982   |
| 0.0           | 36.0  | 24912 | 0.0153          | 0.9982   |
| 0.0           | 37.0  | 25604 | 0.0155          | 0.9982   |
| 0.0           | 38.0  | 26296 | 0.0158          | 0.9982   |
| 0.0           | 39.0  | 26988 | 0.0159          | 0.9982   |
| 0.0           | 40.0  | 27680 | 0.0163          | 0.9982   |
| 0.0           | 41.0  | 28372 | 0.0168          | 0.9982   |
| 0.0           | 42.0  | 29064 | 0.0167          | 0.9982   |
| 0.0           | 43.0  | 29756 | 0.0167          | 0.9982   |
| 0.0           | 44.0  | 30448 | 0.0168          | 0.9982   |
| 0.0           | 45.0  | 31140 | 0.0168          | 0.9982   |
| 0.0           | 46.0  | 31832 | 0.0168          | 0.9982   |
| 0.0           | 47.0  | 32524 | 0.0168          | 0.9982   |
| 0.0           | 48.0  | 33216 | 0.0168          | 0.9982   |
| 0.0           | 49.0  | 33908 | 0.0169          | 0.9982   |
| 0.0           | 50.0  | 34600 | 0.0169          | 0.9982   |


### Framework versions

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