---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-finetuned-stationary-chatgptDS
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-finetuned-stationary-chatgptDS

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: 0.7019
- Accuracy: 0.84
- F1: 0.8367

## 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: 64
- eval_batch_size: 64
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5554        | 1.0   | 75   | 0.4860          | 0.7867   | 0.7674 |
| 0.3768        | 2.0   | 150  | 0.4438          | 0.8117   | 0.8103 |
| 0.2551        | 3.0   | 225  | 0.4781          | 0.8333   | 0.8284 |
| 0.1581        | 4.0   | 300  | 0.4850          | 0.8383   | 0.8334 |
| 0.1051        | 5.0   | 375  | 0.5698          | 0.845    | 0.8381 |
| 0.0726        | 6.0   | 450  | 0.6293          | 0.845    | 0.8439 |
| 0.05          | 7.0   | 525  | 0.6414          | 0.8417   | 0.8396 |
| 0.031         | 8.0   | 600  | 0.7114          | 0.8483   | 0.8474 |
| 0.026         | 9.0   | 675  | 0.6890          | 0.8467   | 0.8433 |
| 0.0198        | 10.0  | 750  | 0.7019          | 0.84     | 0.8367 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0