---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-cased-finetuned
  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-base-cased-finetuned

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2396
- Accuracy: 0.9575

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2096        | 1.0   | 100  | 0.2535          | 0.9375   |
| 0.0835        | 2.0   | 200  | 0.2931          | 0.9425   |
| 0.0358        | 3.0   | 300  | 0.2112          | 0.9525   |
| 0.0124        | 4.0   | 400  | 0.2400          | 0.9475   |
| 0.0071        | 5.0   | 500  | 0.2241          | 0.955    |
| 0.0024        | 6.0   | 600  | 0.2342          | 0.9575   |
| 0.0035        | 7.0   | 700  | 0.2345          | 0.96     |
| 0.0005        | 8.0   | 800  | 0.2278          | 0.9575   |
| 0.0059        | 9.0   | 900  | 0.2243          | 0.96     |
| 0.0003        | 10.0  | 1000 | 0.2396          | 0.9575   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0