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

# intent_classfication

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: 0.1313
- Accuracy: 0.9622

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.647         | 1.0   | 655  | 1.0548          | 0.8502   |
| 1.0688        | 2.0   | 1310 | 0.5307          | 0.8945   |
| 0.683         | 3.0   | 1965 | 0.3331          | 0.9255   |
| 0.3873        | 4.0   | 2620 | 0.2548          | 0.9396   |
| 0.326         | 5.0   | 3275 | 0.2134          | 0.9480   |
| 0.29          | 6.0   | 3930 | 0.1842          | 0.9538   |
| 0.2409        | 7.0   | 4585 | 0.1675          | 0.9553   |
| 0.2292        | 8.0   | 5240 | 0.1594          | 0.9576   |
| 0.2217        | 9.0   | 5895 | 0.1492          | 0.9595   |
| 0.2029        | 10.0  | 6550 | 0.1433          | 0.9595   |
| 0.2036        | 11.0  | 7205 | 0.1369          | 0.9614   |
| 0.1865        | 12.0  | 7860 | 0.1347          | 0.9614   |
| 0.1899        | 13.0  | 8515 | 0.1327          | 0.9622   |
| 0.182         | 14.0  | 9170 | 0.1315          | 0.9622   |
| 0.181         | 15.0  | 9825 | 0.1313          | 0.9622   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0