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# Novel_Genre_Classification_bert-finetuned

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: 0.4720
- F1: 0.5474
- Roc Auc: 0.6950
- Accuracy: 0.4906

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.5711        | 1.0   | 40   | 0.5745          | 0.0    | 0.5     | 0.0      |
| 0.5629        | 2.0   | 80   | 0.5789          | 0.0    | 0.5     | 0.0      |
| 0.5364        | 3.0   | 120  | 0.5439          | 0.0    | 0.5     | 0.0      |
| 0.4734        | 4.0   | 160  | 0.5813          | 0.1644 | 0.5126  | 0.0377   |
| 0.3793        | 5.0   | 200  | 0.4709          | 0.5116 | 0.6730  | 0.4151   |
| 0.2771        | 6.0   | 240  | 0.4720          | 0.5474 | 0.6950  | 0.4906   |
| 0.2473        | 7.0   | 280  | 0.5489          | 0.4694 | 0.6478  | 0.4340   |
| 0.1499        | 8.0   | 320  | 0.5645          | 0.5143 | 0.6761  | 0.4717   |
| 0.1041        | 9.0   | 360  | 0.6179          | 0.4600 | 0.6415  | 0.4340   |
| 0.0644        | 10.0  | 400  | 0.6355          | 0.5098 | 0.6730  | 0.4906   |
| 0.0462        | 11.0  | 440  | 0.7175          | 0.4808 | 0.6541  | 0.4717   |
| 0.0366        | 12.0  | 480  | 0.7688          | 0.4717 | 0.6478  | 0.4528   |
| 0.0321        | 13.0  | 520  | 0.7665          | 0.4854 | 0.6572  | 0.4717   |
| 0.0278        | 14.0  | 560  | 0.7572          | 0.4762 | 0.6509  | 0.4528   |
| 0.0253        | 15.0  | 600  | 0.7946          | 0.4615 | 0.6415  | 0.4528   |
| 0.0232        | 16.0  | 640  | 0.8142          | 0.4615 | 0.6415  | 0.4528   |
| 0.0218        | 17.0  | 680  | 0.8370          | 0.4706 | 0.6478  | 0.4528   |
| 0.02          | 18.0  | 720  | 0.8390          | 0.4615 | 0.6415  | 0.4528   |
| 0.019         | 19.0  | 760  | 0.8148          | 0.4808 | 0.6541  | 0.4717   |
| 0.0185        | 20.0  | 800  | 0.8482          | 0.4571 | 0.6384  | 0.4340   |
| 0.0177        | 21.0  | 840  | 0.8714          | 0.4660 | 0.6447  | 0.4528   |
| 0.0175        | 22.0  | 880  | 0.8810          | 0.4660 | 0.6447  | 0.4528   |
| 0.0166        | 23.0  | 920  | 0.8748          | 0.4660 | 0.6447  | 0.4528   |
| 0.0165        | 24.0  | 960  | 0.8865          | 0.4660 | 0.6447  | 0.4528   |
| 0.0163        | 25.0  | 1000 | 0.8880          | 0.4660 | 0.6447  | 0.4528   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "Novel_Genre_Classification_bert-finetuned", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us