---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased
  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-uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1434
- F1 Score: 0.9670

## 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 | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0991        | 1.0   | 873  | 0.1463          | 0.9619   |
| 0.0529        | 2.0   | 1746 | 0.1434          | 0.9670   |
| 0.0216        | 3.0   | 2619 | 0.1762          | 0.9659   |
| 0.0126        | 4.0   | 3492 | 0.2089          | 0.9652   |
| 0.0065        | 5.0   | 4365 | 0.2178          | 0.9628   |
| 0.0047        | 6.0   | 5238 | 0.2370          | 0.9652   |
| 0.0062        | 7.0   | 6111 | 0.2190          | 0.9668   |
| 0.0042        | 8.0   | 6984 | 0.2303          | 0.9666   |
| 0.0035        | 9.0   | 7857 | 0.2406          | 0.9682   |
| 0.0011        | 10.0  | 8730 | 0.2422          | 0.9687   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3