---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my-bert-classifier2
  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. -->

# my-bert-classifier2

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: 0.0001
- Accuracy: 1.0

## 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 OptimizerNames.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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0249        | 1.0   | 60   | 0.0205          | 0.9958   |
| 0.0011        | 2.0   | 120  | 0.0009          | 1.0      |
| 0.0006        | 3.0   | 180  | 0.0005          | 1.0      |
| 0.0004        | 4.0   | 240  | 0.0003          | 1.0      |
| 0.0003        | 5.0   | 300  | 0.0002          | 1.0      |
| 0.0002        | 6.0   | 360  | 0.0002          | 1.0      |
| 0.0002        | 7.0   | 420  | 0.0001          | 1.0      |
| 0.0002        | 8.0   | 480  | 0.0001          | 1.0      |
| 0.0001        | 9.0   | 540  | 0.0001          | 1.0      |
| 0.0001        | 10.0  | 600  | 0.0001          | 1.0      |
| 0.0001        | 11.0  | 660  | 0.0001          | 1.0      |
| 0.0001        | 12.0  | 720  | 0.0001          | 1.0      |
| 0.0001        | 13.0  | 780  | 0.0001          | 1.0      |
| 0.0001        | 14.0  | 840  | 0.0001          | 1.0      |
| 0.0001        | 15.0  | 900  | 0.0001          | 1.0      |
| 0.0001        | 16.0  | 960  | 0.0001          | 1.0      |
| 0.0001        | 17.0  | 1020 | 0.0001          | 1.0      |
| 0.0001        | 18.0  | 1080 | 0.0001          | 1.0      |
| 0.0001        | 19.0  | 1140 | 0.0001          | 1.0      |
| 0.0001        | 20.0  | 1200 | 0.0001          | 1.0      |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1